�ݺ�ߣshows by User: markawest

�ݺ�ߣshows by User: markawest / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: markawest / Tue, 05 Feb 2019 16:35:22 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: markawest A Practical-ish Introduction to Data Science /slideshow/a-practicalish-introduction-to-data-science/130606910 apracticalintroductiontodatascience-190205163522
In this talk I will share insights and knowledge that I have gained from building up a Data Science department from scratch. This talk will be split into three sections: 1. I'll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organisation. 2. Next up well run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied. 3. The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library.]]>
In this talk I will share insights and knowledge that I have gained from building up a Data Science department from scratch. This talk will be split into three sections: 1. I'll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organisation. 2. Next up well run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied. 3. The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library.]]> Tue, 05 Feb 2019 16:35:22 GMT /slideshow/a-practicalish-introduction-to-data-science/130606910 markawest@slideshare.net(markawest) A Practical-ish Introduction to Data Science markawest In this talk I will share insights and knowledge that I have gained from building up a Data Science department from scratch. This talk will be split into three sections: 1. I'’ll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organisation. 2. Next up we’ll run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied. 3. The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/apracticalintroductiontodatascience-190205163522-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this talk I will share insights and knowledge that I have gained from building up a Data Science department from scratch. This talk will be split into three sections: 1. I'’ll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organisation. 2. Next up we’ll run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied. 3. The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library.

A Practical-ish Introduction to Data Science from Mark West

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0 Explaining the new Java release and licensing models /slideshow/explaining-the-new-java-release-and-licensing-models-130042953/130042953 techone-explainingthenewjavareleaseandlicensingmodels-190131194301
A couple of years back, Oracle announced a new 6 month release cadence for Java and a paid subscription model for the Oracle JDK. These changes are now in force and there is a lot of confusion about what they actually mean. Is Java still free to use? And if not, what alternatives are there to the Oracle JDK? In this talk I give a definitive answer to the above questions. NOTE: INTERNAL TALK GIVEN AT BOUVET. ]]>
A couple of years back, Oracle announced a new 6 month release cadence for Java and a paid subscription model for the Oracle JDK. These changes are now in force and there is a lot of confusion about what they actually mean. Is Java still free to use? And if not, what alternatives are there to the Oracle JDK? In this talk I give a definitive answer to the above questions. NOTE: INTERNAL TALK GIVEN AT BOUVET. ]]> Thu, 31 Jan 2019 19:43:01 GMT /slideshow/explaining-the-new-java-release-and-licensing-models-130042953/130042953 markawest@slideshare.net(markawest) Explaining the new Java release and licensing models markawest A couple of years back, Oracle announced a new 6 month release cadence for Java and a paid subscription model for the Oracle JDK. These changes are now in force and there is a lot of confusion about what they actually mean. Is Java still free to use? And if not, what alternatives are there to the Oracle JDK? In this talk I give a definitive answer to the above questions. NOTE: INTERNAL TALK GIVEN AT BOUVET. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/techone-explainingthenewjavareleaseandlicensingmodels-190131194301-thumbnail.jpg?width=120&height=120&fit=bounds" /> A couple of years back, Oracle announced a new 6 month release cadence for Java and a paid subscription model for the Oracle JDK. These changes are now in force and there is a lot of confusion about what they actually mean. Is Java still free to use? And if not, what alternatives are there to the Oracle JDK? In this talk I give a definitive answer to the above questions. NOTE: INTERNAL TALK GIVEN AT BOUVET.

Explaining the new Java release and licensing models from Mark West

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0 IoT Meetup Oslo - AI on Edge Devices /slideshow/iot-meetup-oslo-ai-on-edge-devices/122941904 iotmeetup-addingaitoedgedevices-181113203402
A common challenge of the IoT is adding AI capabilities to constrained devices. In this session, Mark will compare 2 solutions that he's tried out for his Raspberry Pi Zero Smart Camera: (1) AWS Machine Learning as a Service (2) Movidius Neural Compute Stick.]]>
A common challenge of the IoT is adding AI capabilities to constrained devices. In this session, Mark will compare 2 solutions that he's tried out for his Raspberry Pi Zero Smart Camera: (1) AWS Machine Learning as a Service (2) Movidius Neural Compute Stick.]]> Tue, 13 Nov 2018 20:34:02 GMT /slideshow/iot-meetup-oslo-ai-on-edge-devices/122941904 markawest@slideshare.net(markawest) IoT Meetup Oslo - AI on Edge Devices markawest A common challenge of the IoT is adding AI capabilities to constrained devices. In this session, Mark will compare 2 solutions that he's tried out for his Raspberry Pi Zero Smart Camera: (1) AWS Machine Learning as a Service (2) Movidius Neural Compute Stick. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iotmeetup-addingaitoedgedevices-181113203402-thumbnail.jpg?width=120&height=120&fit=bounds" /> A common challenge of the IoT is adding AI capabilities to constrained devices. In this session, Mark will compare 2 solutions that he's tried out for his Raspberry Pi Zero Smart Camera: (1) AWS Machine Learning as a Service (2) Movidius Neural Compute Stick.

IoT Meetup Oslo - AI on Edge Devices from Mark West

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0 GeeCon Prague 2018 - A Practical-ish Introduction to Data Science /slideshow/geecon-prague-2018-a-practicalish-introduction-to-data-science/120002187 geecon-apracticalintroductiontodatascience-181019100515
Data Science has been described as the sexiest job of the 21st Century. But what is Data Science? And what has Machine Learning got to do with all this? In this session I will share insights and knowledge that I have gained from building up a Data Science department from scratch. The talk will be split into three sections: 1. I’ll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organization. 2. Next up we’ll run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied. 3. The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library.]]>
Data Science has been described as the sexiest job of the 21st Century. But what is Data Science? And what has Machine Learning got to do with all this? In this session I will share insights and knowledge that I have gained from building up a Data Science department from scratch. The talk will be split into three sections: 1. I’ll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organization. 2. Next up we’ll run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied. 3. The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library.]]> Fri, 19 Oct 2018 10:05:15 GMT /slideshow/geecon-prague-2018-a-practicalish-introduction-to-data-science/120002187 markawest@slideshare.net(markawest) GeeCon Prague 2018 - A Practical-ish Introduction to Data Science markawest Data Science has been described as the sexiest job of the 21st Century. But what is Data Science? And what has Machine Learning got to do with all this? In this session I will share insights and knowledge that I have gained from building up a Data Science department from scratch. The talk will be split into three sections: 1. I’ll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organization. 2. Next up we’ll run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied. 3. The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/geecon-apracticalintroductiontodatascience-181019100515-thumbnail.jpg?width=120&height=120&fit=bounds" /> Data Science has been described as the sexiest job of the 21st Century. But what is Data Science? And what has Machine Learning got to do with all this? In this session I will share insights and knowledge that I have gained from building up a Data Science department from scratch. The talk will be split into three sections: 1. I’ll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organization. 2. Next up we’ll run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied. 3. The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library.

GeeCon Prague 2018 - A Practical-ish Introduction to Data Science from Mark West

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0 JavaZone 2018 - A Practical(ish) Introduction to Data Science /slideshow/javazone-2018-a-practicalfish-introduction-to-data-science/114256737 javazone-apracticalintroductiontodatascience-180913120258
Code: https://github.com/markwest1972/titanic Video: https://vimeo.com/289705893 Data Science has been described as the sexiest job of the 21st Century. But what is Data Science? And what has Machine Learning got to do with all of this? In this talk I will share insights and knowledge that I have gained from building up a Data Science department from scratch. This talk will be split into three sections: 1. I’ll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organisation. 2. Next up we’ll run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied. 3. The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library.]]>
Code: https://github.com/markwest1972/titanic Video: https://vimeo.com/289705893 Data Science has been described as the sexiest job of the 21st Century. But what is Data Science? And what has Machine Learning got to do with all of this? In this talk I will share insights and knowledge that I have gained from building up a Data Science department from scratch. This talk will be split into three sections: 1. I’ll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organisation. 2. Next up we’ll run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied. 3. The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library.]]> Thu, 13 Sep 2018 12:02:58 GMT /slideshow/javazone-2018-a-practicalfish-introduction-to-data-science/114256737 markawest@slideshare.net(markawest) JavaZone 2018 - A Practical(ish) Introduction to Data Science markawest Code: https://github.com/markwest1972/titanic Video: https://vimeo.com/289705893 Data Science has been described as the sexiest job of the 21st Century. But what is Data Science? And what has Machine Learning got to do with all of this? In this talk I will share insights and knowledge that I have gained from building up a Data Science department from scratch. This talk will be split into three sections: 1. I’ll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organisation. 2. Next up we’ll run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied. 3. The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/javazone-apracticalintroductiontodatascience-180913120258-thumbnail.jpg?width=120&height=120&fit=bounds" /> Code: https://github.com/markwest1972/titanic Video: https://vimeo.com/289705893 Data Science has been described as the sexiest job of the 21st Century. But what is Data Science? And what has Machine Learning got to do with all of this? In this talk I will share insights and knowledge that I have gained from building up a Data Science department from scratch. This talk will be split into three sections: 1. I’ll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organisation. 2. Next up we’ll run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied. 3. The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library.

JavaZone 2018 - A Practical(ish) Introduction to Data Science from Mark West

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0 NDC Oslo : A Practical Introduction to Data Science /slideshow/ndc-oslo-a-practical-introduction-to-data-science/102295396 ndcoslo-apracticalintroductiontodatascience-180613123725
Data Science has been described as the sexiest job of the 21st Century. But what is Data Science? And what has Machine Learning got to do with all this? In this talk I will share insights and knowledge that I have gained from building up a Data Science department from scratch. This talk will be split into three sections: (1) I’ll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organisation. (2) Next up we’ll run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied. (3) The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library.]]>
Data Science has been described as the sexiest job of the 21st Century. But what is Data Science? And what has Machine Learning got to do with all this? In this talk I will share insights and knowledge that I have gained from building up a Data Science department from scratch. This talk will be split into three sections: (1) I’ll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organisation. (2) Next up we’ll run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied. (3) The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library.]]> Wed, 13 Jun 2018 12:37:25 GMT /slideshow/ndc-oslo-a-practical-introduction-to-data-science/102295396 markawest@slideshare.net(markawest) NDC Oslo : A Practical Introduction to Data Science markawest Data Science has been described as the sexiest job of the 21st Century. But what is Data Science? And what has Machine Learning got to do with all this? In this talk I will share insights and knowledge that I have gained from building up a Data Science department from scratch. This talk will be split into three sections: (1) I’ll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organisation. (2) Next up we’ll run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied. (3) The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ndcoslo-apracticalintroductiontodatascience-180613123725-thumbnail.jpg?width=120&height=120&fit=bounds" /> Data Science has been described as the sexiest job of the 21st Century. But what is Data Science? And what has Machine Learning got to do with all this? In this talk I will share insights and knowledge that I have gained from building up a Data Science department from scratch. This talk will be split into three sections: (1) I’ll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organisation. (2) Next up we’ll run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied. (3) The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library.

NDC Oslo : A Practical Introduction to Data Science from Mark West

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0 Make Data Smart Again 2018 - Building a Smart Security Camera with Raspberry Pi Zero and AWS /markawest/make-data-smart-again-2018-building-a-smart-security-camera-with-raspberry-pi-zero-and-aws mdsa-smartcamera-180605091455
In this session I’ll share the story of how I transformed a simple Raspberry Pi Zero webcam into a Smart Security Camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based AI. Attendees can expect a demonstration of how I used a range of AWS API’s (including Rekognition, Lambda and Step Functions) to help my Smart Security Camera distinguish between an unwanted guest and the neighbours’ cat.]]>
In this session I’ll share the story of how I transformed a simple Raspberry Pi Zero webcam into a Smart Security Camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based AI. Attendees can expect a demonstration of how I used a range of AWS API’s (including Rekognition, Lambda and Step Functions) to help my Smart Security Camera distinguish between an unwanted guest and the neighbours’ cat.]]> Tue, 05 Jun 2018 09:14:55 GMT /markawest/make-data-smart-again-2018-building-a-smart-security-camera-with-raspberry-pi-zero-and-aws markawest@slideshare.net(markawest) Make Data Smart Again 2018 - Building a Smart Security Camera with Raspberry Pi Zero and AWS markawest In this session I’ll share the story of how I transformed a simple Raspberry Pi Zero webcam into a Smart Security Camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based AI. Attendees can expect a demonstration of how I used a range of AWS API’s (including Rekognition, Lambda and Step Functions) to help my Smart Security Camera distinguish between an unwanted guest and the neighbours’ cat. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mdsa-smartcamera-180605091455-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this session I’ll share the story of how I transformed a simple Raspberry Pi Zero webcam into a Smart Security Camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based AI. Attendees can expect a demonstration of how I used a range of AWS API’s (including Rekognition, Lambda and Step Functions) to help my Smart Security Camera distinguish between an unwanted guest and the neighbours’ cat.

Make Data Smart Again 2018 - Building a Smart Security Camera with Raspberry Pi Zero and AWS from Mark West

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0 DevExperience 2018 : Building a Smart Security Camera with Raspberry Pi Zero, Java and AWS /slideshow/devexperience-2018-building-a-smart-security-camera-with-raspberry-pi-zero-java-and-aws/94754556 devexperience-smartcamera-180423133103
In this session, I’ll share how I transformed a lowly Raspberry Pi Zero W webcam into a smart security camera (with motion detection, threat analysis and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short explanation of how to set up their own motion activated webcam and a demonstration of how they can use Java and a range of AWS Services (including Rekognition, Lambda Functions and Step Functions) to help their camera distinguish between an unwanted guest and the neighbour’s cat. ]]>
In this session, I’ll share how I transformed a lowly Raspberry Pi Zero W webcam into a smart security camera (with motion detection, threat analysis and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short explanation of how to set up their own motion activated webcam and a demonstration of how they can use Java and a range of AWS Services (including Rekognition, Lambda Functions and Step Functions) to help their camera distinguish between an unwanted guest and the neighbour’s cat. ]]> Mon, 23 Apr 2018 13:31:03 GMT /slideshow/devexperience-2018-building-a-smart-security-camera-with-raspberry-pi-zero-java-and-aws/94754556 markawest@slideshare.net(markawest) DevExperience 2018 : Building a Smart Security Camera with Raspberry Pi Zero, Java and AWS markawest In this session, I’ll share how I transformed a lowly Raspberry Pi Zero W webcam into a smart security camera (with motion detection, threat analysis and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short explanation of how to set up their own motion activated webcam and a demonstration of how they can use Java and a range of AWS Services (including Rekognition, Lambda Functions and Step Functions) to help their camera distinguish between an unwanted guest and the neighbour’s cat. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/devexperience-smartcamera-180423133103-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this session, I’ll share how I transformed a lowly Raspberry Pi Zero W webcam into a smart security camera (with motion detection, threat analysis and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short explanation of how to set up their own motion activated webcam and a demonstration of how they can use Java and a range of AWS Services (including Rekognition, Lambda Functions and Step Functions) to help their camera distinguish between an unwanted guest and the neighbour’s cat.

DevExperience 2018 : Building a Smart Security Camera with Raspberry Pi Zero, Java and AWS from Mark West

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0 GeeCON Prague : Building a Smart Security Camera with Raspberry Pi Zero, Java and AWS /slideshow/geecon-prague-building-a-smart-security-camera-with-raspberry-pi-zero-java-and-aws/81013477 geeconprague-smartcamera-171020110302
In this session, I’ll share how I transformed a lowly Raspberry Pi Zero W webcam into a smart security camera (with motion detection, threat analysis and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short explanation of how to set up their own motion activated webcam and a demonstration of how they can use Java and a range of AWS Services (including Rekognition, Lambda Functions and Step Functions) to help their camera distinguish between an unwanted guest and the neighbour’s cat. Finally we’ll compare Node.js and Java versions of this solution and compare them in terms of execution speed, operating cost and ease of development.]]>
In this session, I’ll share how I transformed a lowly Raspberry Pi Zero W webcam into a smart security camera (with motion detection, threat analysis and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short explanation of how to set up their own motion activated webcam and a demonstration of how they can use Java and a range of AWS Services (including Rekognition, Lambda Functions and Step Functions) to help their camera distinguish between an unwanted guest and the neighbour’s cat. Finally we’ll compare Node.js and Java versions of this solution and compare them in terms of execution speed, operating cost and ease of development.]]> Fri, 20 Oct 2017 11:03:02 GMT /slideshow/geecon-prague-building-a-smart-security-camera-with-raspberry-pi-zero-java-and-aws/81013477 markawest@slideshare.net(markawest) GeeCON Prague : Building a Smart Security Camera with Raspberry Pi Zero, Java and AWS markawest In this session, I’ll share how I transformed a lowly Raspberry Pi Zero W webcam into a smart security camera (with motion detection, threat analysis and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short explanation of how to set up their own motion activated webcam and a demonstration of how they can use Java and a range of AWS Services (including Rekognition, Lambda Functions and Step Functions) to help their camera distinguish between an unwanted guest and the neighbour’s cat. Finally we’ll compare Node.js and Java versions of this solution and compare them in terms of execution speed, operating cost and ease of development. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/geeconprague-smartcamera-171020110302-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this session, I’ll share how I transformed a lowly Raspberry Pi Zero W webcam into a smart security camera (with motion detection, threat analysis and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short explanation of how to set up their own motion activated webcam and a demonstration of how they can use Java and a range of AWS Services (including Rekognition, Lambda Functions and Step Functions) to help their camera distinguish between an unwanted guest and the neighbour’s cat. Finally we’ll compare Node.js and Java versions of this solution and compare them in terms of execution speed, operating cost and ease of development.

GeeCON Prague : Building a Smart Security Camera with Raspberry Pi Zero, Java and AWS from Mark West

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0 JavaZone 2017 : Building a smart security camera with raspberry pi zero, java and aws /slideshow/javazone-2017-building-a-smart-security-camera-with-raspberry-pi-zero-java-and-aws/79771215 javazone-buildingasmartsecuritycamerawithraspberrypizerojavaandaws-170914133418
In this session, I’ll share how I transformed a lowly Raspberry Pi Zero W webcam into a smart security camera (with motion detection, threat analysis and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short explanation of how to set up their own motion activated webcam, followed by a demonstration of how they can use Java and a range of AWS Services (including Rekognition, Lambda Functions and Step Functions) to help their camera distinguish between an unwanted guest and the neighbour’s cat. Finally we'll compare Node.js and Java versions of this solution and compare them in terms of execution speed, operating cost and ease of development. Video here: https://vimeo.com/233849443]]>
In this session, I’ll share how I transformed a lowly Raspberry Pi Zero W webcam into a smart security camera (with motion detection, threat analysis and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short explanation of how to set up their own motion activated webcam, followed by a demonstration of how they can use Java and a range of AWS Services (including Rekognition, Lambda Functions and Step Functions) to help their camera distinguish between an unwanted guest and the neighbour’s cat. Finally we'll compare Node.js and Java versions of this solution and compare them in terms of execution speed, operating cost and ease of development. Video here: https://vimeo.com/233849443]]> Thu, 14 Sep 2017 13:34:18 GMT /slideshow/javazone-2017-building-a-smart-security-camera-with-raspberry-pi-zero-java-and-aws/79771215 markawest@slideshare.net(markawest) JavaZone 2017 : Building a smart security camera with raspberry pi zero, java and aws markawest In this session, I’ll share how I transformed a lowly Raspberry Pi Zero W webcam into a smart security camera (with motion detection, threat analysis and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short explanation of how to set up their own motion activated webcam, followed by a demonstration of how they can use Java and a range of AWS Services (including Rekognition, Lambda Functions and Step Functions) to help their camera distinguish between an unwanted guest and the neighbour’s cat. Finally we'll compare Node.js and Java versions of this solution and compare them in terms of execution speed, operating cost and ease of development. Video here: https://vimeo.com/233849443 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/javazone-buildingasmartsecuritycamerawithraspberrypizerojavaandaws-170914133418-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this session, I’ll share how I transformed a lowly Raspberry Pi Zero W webcam into a smart security camera (with motion detection, threat analysis and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short explanation of how to set up their own motion activated webcam, followed by a demonstration of how they can use Java and a range of AWS Services (including Rekognition, Lambda Functions and Step Functions) to help their camera distinguish between an unwanted guest and the neighbour’s cat. Finally we'll compare Node.js and Java versions of this solution and compare them in terms of execution speed, operating cost and ease of development. Video here: https://vimeo.com/233849443

JavaZone 2017 : Building a smart security camera with raspberry pi zero, java and aws from Mark West

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0 GeeCon 2017 : Building a Smart Security Camera with Raspberry Pi Zero, Node.js and The Cloud /slideshow/building-a-smart-security-camera-with-raspberry-pi-zero-nodejs-and-the-cloud-riga-dev-days-and-geecon-76122061/76122061 geecon-smartcamera-170519093920
A key advantage of the IoT is that it enables you to expand the potential of constrained devices by giving them access to the computational power of The Cloud. In this session I’ll show you how I transformed a lowly Raspberry Pi Zero webcam into a smart security camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect an introduction on how to set up their own Raspberry Pi Zero webcam, a comparison of some of the image analysis API’s currently available, and finally a demonstration of how I used Node.js and a range of cloud based API’s (including AWS Rekognition, AWS Lambda and AWS Step Functions) to help my smart security camera distinguish between an unwanted guest and the neighbours cat.]]>
A key advantage of the IoT is that it enables you to expand the potential of constrained devices by giving them access to the computational power of The Cloud. In this session I’ll show you how I transformed a lowly Raspberry Pi Zero webcam into a smart security camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect an introduction on how to set up their own Raspberry Pi Zero webcam, a comparison of some of the image analysis API’s currently available, and finally a demonstration of how I used Node.js and a range of cloud based API’s (including AWS Rekognition, AWS Lambda and AWS Step Functions) to help my smart security camera distinguish between an unwanted guest and the neighbours cat.]]> Fri, 19 May 2017 09:39:20 GMT /slideshow/building-a-smart-security-camera-with-raspberry-pi-zero-nodejs-and-the-cloud-riga-dev-days-and-geecon-76122061/76122061 markawest@slideshare.net(markawest) GeeCon 2017 : Building a Smart Security Camera with Raspberry Pi Zero, Node.js and The Cloud markawest A key advantage of the IoT is that it enables you to expand the potential of constrained devices by giving them access to the computational power of The Cloud. In this session I’ll show you how I transformed a lowly Raspberry Pi Zero webcam into a smart security camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect an introduction on how to set up their own Raspberry Pi Zero webcam, a comparison of some of the image analysis API’s currently available, and finally a demonstration of how I used Node.js and a range of cloud based API’s (including AWS Rekognition, AWS Lambda and AWS Step Functions) to help my smart security camera distinguish between an unwanted guest and the neighbours cat. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/geecon-smartcamera-170519093920-thumbnail.jpg?width=120&height=120&fit=bounds" /> A key advantage of the IoT is that it enables you to expand the potential of constrained devices by giving them access to the computational power of The Cloud. In this session I’ll show you how I transformed a lowly Raspberry Pi Zero webcam into a smart security camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect an introduction on how to set up their own Raspberry Pi Zero webcam, a comparison of some of the image analysis API’s currently available, and finally a demonstration of how I used Node.js and a range of cloud based API’s (including AWS Rekognition, AWS Lambda and AWS Step Functions) to help my smart security camera distinguish between an unwanted guest and the neighbours cat.

GeeCon 2017 : Building a Smart Security Camera with Raspberry Pi Zero, Node.js and The Cloud from Mark West

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0 Riga Dev Days: Building a Smart Security Camera with Raspberry Pi Zero, Node.js and The Cloud /markawest/building-a-smart-security-camera-with-raspberry-pi-zero-nodejs-and-the-cloud-riga-dev-days-and-geecon may2017-smartcamera-170515113128
A key advantage of the IoT is that it enables you to expand the potential of constrained devices by giving them access to the computational power of The Cloud. In this session I’ll show you how I transformed a lowly Raspberry Pi Zero webcam into a smart security camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short introduction on how to set up their own Raspberry Pi Zero webcam, a comparison of some of the image analysis API’s currently available, and finally a demonstration of how I used Node.js and a range of cloud based API’s (including Amazon's Rekognition, Lambda and Step Functions) to help my smart security camera distinguish between an unwanted guest and the neighbours cat.]]>
A key advantage of the IoT is that it enables you to expand the potential of constrained devices by giving them access to the computational power of The Cloud. In this session I’ll show you how I transformed a lowly Raspberry Pi Zero webcam into a smart security camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short introduction on how to set up their own Raspberry Pi Zero webcam, a comparison of some of the image analysis API’s currently available, and finally a demonstration of how I used Node.js and a range of cloud based API’s (including Amazon's Rekognition, Lambda and Step Functions) to help my smart security camera distinguish between an unwanted guest and the neighbours cat.]]> Mon, 15 May 2017 11:31:28 GMT /markawest/building-a-smart-security-camera-with-raspberry-pi-zero-nodejs-and-the-cloud-riga-dev-days-and-geecon markawest@slideshare.net(markawest) Riga Dev Days: Building a Smart Security Camera with Raspberry Pi Zero, Node.js and The Cloud markawest A key advantage of the IoT is that it enables you to expand the potential of constrained devices by giving them access to the computational power of The Cloud. In this session I’ll show you how I transformed a lowly Raspberry Pi Zero webcam into a smart security camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short introduction on how to set up their own Raspberry Pi Zero webcam, a comparison of some of the image analysis API’s currently available, and finally a demonstration of how I used Node.js and a range of cloud based API’s (including Amazon's Rekognition, Lambda and Step Functions) to help my smart security camera distinguish between an unwanted guest and the neighbours cat. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/may2017-smartcamera-170515113128-thumbnail.jpg?width=120&height=120&fit=bounds" /> A key advantage of the IoT is that it enables you to expand the potential of constrained devices by giving them access to the computational power of The Cloud. In this session I’ll show you how I transformed a lowly Raspberry Pi Zero webcam into a smart security camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short introduction on how to set up their own Raspberry Pi Zero webcam, a comparison of some of the image analysis API’s currently available, and finally a demonstration of how I used Node.js and a range of cloud based API’s (including Amazon's Rekognition, Lambda and Step Functions) to help my smart security camera distinguish between an unwanted guest and the neighbours cat.

Riga Dev Days: Building a Smart Security Camera with Raspberry Pi Zero, Node.js and The Cloud from Mark West

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0 IoT Tech Day Smart Camera slides. Utrecht, April 2017. /markawest/iot-tech-day-smart-camera-slides-utrecht-april-2017 iottechday-smartcamera-170419115413
A key advantage of the IoT is that it enables you to expand the potential of constrained devices by giving them access to the computational power of The Cloud. In this session I’ll show you how I transformed a lowly Raspberry Pi Zero webcam into a smart security camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short explanation of how to set up their own Raspberry Pi Zero webcam, an introduction to Image Analysis as a Service, and finally a demonstration of how I used Node.js and a range of cloud based API’s (including Amazon’s Rekognition, Lambda and Step Function services) to help my smart security camera distinguish between an unwanted guest and the neighbours cat. http://iottechday.nl/sessions/building-a-smart-security-camera-with-raspberry-pi-zero-node-js-and-the-cloud/]]>
A key advantage of the IoT is that it enables you to expand the potential of constrained devices by giving them access to the computational power of The Cloud. In this session I’ll show you how I transformed a lowly Raspberry Pi Zero webcam into a smart security camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short explanation of how to set up their own Raspberry Pi Zero webcam, an introduction to Image Analysis as a Service, and finally a demonstration of how I used Node.js and a range of cloud based API’s (including Amazon’s Rekognition, Lambda and Step Function services) to help my smart security camera distinguish between an unwanted guest and the neighbours cat. http://iottechday.nl/sessions/building-a-smart-security-camera-with-raspberry-pi-zero-node-js-and-the-cloud/]]> Wed, 19 Apr 2017 11:54:12 GMT /markawest/iot-tech-day-smart-camera-slides-utrecht-april-2017 markawest@slideshare.net(markawest) IoT Tech Day Smart Camera slides. Utrecht, April 2017. markawest A key advantage of the IoT is that it enables you to expand the potential of constrained devices by giving them access to the computational power of The Cloud. In this session I’ll show you how I transformed a lowly Raspberry Pi Zero webcam into a smart security camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short explanation of how to set up their own Raspberry Pi Zero webcam, an introduction to Image Analysis as a Service, and finally a demonstration of how I used Node.js and a range of cloud based API’s (including Amazon’s Rekognition, Lambda and Step Function services) to help my smart security camera distinguish between an unwanted guest and the neighbours cat. http://iottechday.nl/sessions/building-a-smart-security-camera-with-raspberry-pi-zero-node-js-and-the-cloud/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iottechday-smartcamera-170419115413-thumbnail.jpg?width=120&height=120&fit=bounds" /> A key advantage of the IoT is that it enables you to expand the potential of constrained devices by giving them access to the computational power of The Cloud. In this session I’ll show you how I transformed a lowly Raspberry Pi Zero webcam into a smart security camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short explanation of how to set up their own Raspberry Pi Zero webcam, an introduction to Image Analysis as a Service, and finally a demonstration of how I used Node.js and a range of cloud based API’s (including Amazon’s Rekognition, Lambda and Step Function services) to help my smart security camera distinguish between an unwanted guest and the neighbours cat. http://iottechday.nl/sessions/building-a-smart-security-camera-with-raspberry-pi-zero-node-js-and-the-cloud/

IoT Tech Day Smart Camera slides. Utrecht, April 2017. from Mark West

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0 NTNU Tech Talks : Smartening up a Pi Zero Security Camera with Amazon Web Services and Node.js /slideshow/ntnu-tech-talks-smartening-up-a-pi-zero-security-camera-with-amazon-web-services-and-nodejs/71861343 ntnutechtalks-pizerosmartcamera-170207130953
A key advantage of the IoT is that it enables you to expand the potential of constrained devices by giving them access to the computational power of The Cloud. In this session I’ll show you how I transformed a lowly Raspberry Pi Zero webcam into a smart security camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short introduction on how to set up their own Raspberry Pi Zero webcam, a comparison of some of the image analysis API’s currently available, and finally a demonstration of how I used Node.js and a range of cloud based API’s (including Amazon's Rekognition, Lambda and Step Functions) to help my smart security camera distinguish between an unwanted guest and the neighbour’s cat.]]>
A key advantage of the IoT is that it enables you to expand the potential of constrained devices by giving them access to the computational power of The Cloud. In this session I’ll show you how I transformed a lowly Raspberry Pi Zero webcam into a smart security camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short introduction on how to set up their own Raspberry Pi Zero webcam, a comparison of some of the image analysis API’s currently available, and finally a demonstration of how I used Node.js and a range of cloud based API’s (including Amazon's Rekognition, Lambda and Step Functions) to help my smart security camera distinguish between an unwanted guest and the neighbour’s cat.]]> Tue, 07 Feb 2017 13:09:53 GMT /slideshow/ntnu-tech-talks-smartening-up-a-pi-zero-security-camera-with-amazon-web-services-and-nodejs/71861343 markawest@slideshare.net(markawest) NTNU Tech Talks : Smartening up a Pi Zero Security Camera with Amazon Web Services and Node.js markawest A key advantage of the IoT is that it enables you to expand the potential of constrained devices by giving them access to the computational power of The Cloud. In this session I’ll show you how I transformed a lowly Raspberry Pi Zero webcam into a smart security camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short introduction on how to set up their own Raspberry Pi Zero webcam, a comparison of some of the image analysis API’s currently available, and finally a demonstration of how I used Node.js and a range of cloud based API’s (including Amazon's Rekognition, Lambda and Step Functions) to help my smart security camera distinguish between an unwanted guest and the neighbour’s cat. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ntnutechtalks-pizerosmartcamera-170207130953-thumbnail.jpg?width=120&height=120&fit=bounds" /> A key advantage of the IoT is that it enables you to expand the potential of constrained devices by giving them access to the computational power of The Cloud. In this session I’ll show you how I transformed a lowly Raspberry Pi Zero webcam into a smart security camera (with motion detection, threat detection and alert notifications) by combining open source software with cloud based image analysis. Attendees can expect a short introduction on how to set up their own Raspberry Pi Zero webcam, a comparison of some of the image analysis API’s currently available, and finally a demonstration of how I used Node.js and a range of cloud based API’s (including Amazon's Rekognition, Lambda and Step Functions) to help my smart security camera distinguish between an unwanted guest and the neighbour’s cat.

NTNU Tech Talks : Smartening up a Pi Zero Security Camera with Amazon Web Services and Node.js from Mark West

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0 JavaZone 2016 : MQTT and CoAP for the Java Developer /markawest/javazone-2016-mqtt-and-coap-for-the-java-developer javazone2016slideshare-160907112223
After HTTP, MQTT and CoAP are perhaps the most commonly used communication protocols for connecting devices to the Internet of Things. But what are MQTT and CoAP, and what benefits do they provide over plain old HTTP? In this session we’ll start by looking at the limitations to using HTTP in the IoT world. We will then introduce MQTT and CoAP, and explain why these can be compelling replacements for HTTP. By examining the strengths and weaknesses for HTTP, MQTT and CoAP we’ll identify IoT use cases for all three.]]>
After HTTP, MQTT and CoAP are perhaps the most commonly used communication protocols for connecting devices to the Internet of Things. But what are MQTT and CoAP, and what benefits do they provide over plain old HTTP? In this session we’ll start by looking at the limitations to using HTTP in the IoT world. We will then introduce MQTT and CoAP, and explain why these can be compelling replacements for HTTP. By examining the strengths and weaknesses for HTTP, MQTT and CoAP we’ll identify IoT use cases for all three.]]> Wed, 07 Sep 2016 11:22:23 GMT /markawest/javazone-2016-mqtt-and-coap-for-the-java-developer markawest@slideshare.net(markawest) JavaZone 2016 : MQTT and CoAP for the Java Developer markawest After HTTP, MQTT and CoAP are perhaps the most commonly used communication protocols for connecting devices to the Internet of Things. But what are MQTT and CoAP, and what benefits do they provide over plain old HTTP? In this session we’ll start by looking at the limitations to using HTTP in the IoT world. We will then introduce MQTT and CoAP, and explain why these can be compelling replacements for HTTP. By examining the strengths and weaknesses for HTTP, MQTT and CoAP we’ll identify IoT use cases for all three. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/javazone2016slideshare-160907112223-thumbnail.jpg?width=120&height=120&fit=bounds" /> After HTTP, MQTT and CoAP are perhaps the most commonly used communication protocols for connecting devices to the Internet of Things. But what are MQTT and CoAP, and what benefits do they provide over plain old HTTP? In this session we’ll start by looking at the limitations to using HTTP in the IoT world. We will then introduce MQTT and CoAP, and explain why these can be compelling replacements for HTTP. By examining the strengths and weaknesses for HTTP, MQTT and CoAP we’ll identify IoT use cases for all three.

JavaZone 2016 : MQTT and CoAP for the Java Developer from Mark West

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0 JavaZone 2015 : NodeBots - JavaScript Powered Robots with Johnny-Five /slideshow/javazone-2015-nodebots-javascript-powered-robots-with-johnnyfive/65235518 jz2015v4-160822133015
Video of me giving this talk : https://2015.javazone.no/details.html?talk=65b51b83b9d6816ebde93e8bef1fae273ee411bc957fa291150d58f3077d58fe Theres no denying that JavaScript is everywhere! But did you know that you could also use it to interact with a range of Sensors (i.e. distance, pressure and heat) and control Actuators (i.e. servos and LED's)? Attend this lightning talk to find out more about the NodeBots revolution! In 10 fast paced minutes you'll learn about how you can get started with JavaScript powered Robots using an Arduino UNO and the Johnny-Five framework. If you are interested in picking up some JavaScript, Node.js, Arduino, Robotics or Electronics skills then this is the lightning talk for you! There'll also be drones!]]>
Video of me giving this talk : https://2015.javazone.no/details.html?talk=65b51b83b9d6816ebde93e8bef1fae273ee411bc957fa291150d58f3077d58fe Theres no denying that JavaScript is everywhere! But did you know that you could also use it to interact with a range of Sensors (i.e. distance, pressure and heat) and control Actuators (i.e. servos and LED's)? Attend this lightning talk to find out more about the NodeBots revolution! In 10 fast paced minutes you'll learn about how you can get started with JavaScript powered Robots using an Arduino UNO and the Johnny-Five framework. If you are interested in picking up some JavaScript, Node.js, Arduino, Robotics or Electronics skills then this is the lightning talk for you! There'll also be drones!]]> Mon, 22 Aug 2016 13:30:15 GMT /slideshow/javazone-2015-nodebots-javascript-powered-robots-with-johnnyfive/65235518 markawest@slideshare.net(markawest) JavaZone 2015 : NodeBots - JavaScript Powered Robots with Johnny-Five markawest Video of me giving this talk : https://2015.javazone.no/details.html?talk=65b51b83b9d6816ebde93e8bef1fae273ee411bc957fa291150d58f3077d58fe Theres no denying that JavaScript is everywhere! But did you know that you could also use it to interact with a range of Sensors (i.e. distance, pressure and heat) and control Actuators (i.e. servos and LED's)? Attend this lightning talk to find out more about the NodeBots revolution! In 10 fast paced minutes you'll learn about how you can get started with JavaScript powered Robots using an Arduino UNO and the Johnny-Five framework. If you are interested in picking up some JavaScript, Node.js, Arduino, Robotics or Electronics skills then this is the lightning talk for you! There'll also be drones! <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jz2015v4-160822133015-thumbnail.jpg?width=120&height=120&fit=bounds" /> Video of me giving this talk : https://2015.javazone.no/details.html?talk=65b51b83b9d6816ebde93e8bef1fae273ee411bc957fa291150d58f3077d58fe Theres no denying that JavaScript is everywhere! But did you know that you could also use it to interact with a range of Sensors (i.e. distance, pressure and heat) and control Actuators (i.e. servos and LED's)? Attend this lightning talk to find out more about the NodeBots revolution! In 10 fast paced minutes you'll learn about how you can get started with JavaScript powered Robots using an Arduino UNO and the Johnny-Five framework. If you are interested in picking up some JavaScript, Node.js, Arduino, Robotics or Electronics skills then this is the lightning talk for you! There'll also be drones!

JavaZone 2015 : NodeBots - JavaScript Powered Robots with Johnny-Five from Mark West

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0 Coding Mojo : Node.js Meetup /slideshow/coding-mojo-nodejs-meetup/62442517 codingmojo-node-160526201003
Short version of Coding Mojo talk for Oslo Node.js meetup.]]>
Short version of Coding Mojo talk for Oslo Node.js meetup.]]> Thu, 26 May 2016 20:10:03 GMT /slideshow/coding-mojo-nodejs-meetup/62442517 markawest@slideshare.net(markawest) Coding Mojo : Node.js Meetup markawest Short version of Coding Mojo talk for Oslo Node.js meetup. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/codingmojo-node-160526201003-thumbnail.jpg?width=120&height=120&fit=bounds" /> Short version of Coding Mojo talk for Oslo Node.js meetup.

Coding Mojo : Node.js Meetup from Mark West

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0 IoT Tech Day Coding Mojo slides. Utrecht, April 2016 /slideshow/iot-tech-day-coding-mojo-slides-utrecht-april-2016/60942470 iottechdaycodingmojoslides-160415055651
http://www.iottechday.nl/sessions/how-i-rediscovered-my-coding-mojo-by-building-an-iotrobotics-prototype/ Includes links to video demos. "Come hear the story of how I learned new technologies and rediscovered my coding mojo by building an IoT/robotics prototype: a JavaScript powered, voice-controlled robot! Along the way you can expect to learn about HTML5 speech recognition, controlling hardware with Node.js and Johnny-Five, using WebSockets and MQTT for communication between components, and finally how you can combine the Raspberry Pi and Arduino platforms to gain ultimate power over your own projects!"]]>
http://www.iottechday.nl/sessions/how-i-rediscovered-my-coding-mojo-by-building-an-iotrobotics-prototype/ Includes links to video demos. "Come hear the story of how I learned new technologies and rediscovered my coding mojo by building an IoT/robotics prototype: a JavaScript powered, voice-controlled robot! Along the way you can expect to learn about HTML5 speech recognition, controlling hardware with Node.js and Johnny-Five, using WebSockets and MQTT for communication between components, and finally how you can combine the Raspberry Pi and Arduino platforms to gain ultimate power over your own projects!"]]> Fri, 15 Apr 2016 05:56:51 GMT /slideshow/iot-tech-day-coding-mojo-slides-utrecht-april-2016/60942470 markawest@slideshare.net(markawest) IoT Tech Day Coding Mojo slides. Utrecht, April 2016 markawest http://www.iottechday.nl/sessions/how-i-rediscovered-my-coding-mojo-by-building-an-iotrobotics-prototype/ Includes links to video demos. "Come hear the story of how I learned new technologies and rediscovered my coding mojo by building an IoT/robotics prototype: a JavaScript powered, voice-controlled robot! Along the way you can expect to learn about HTML5 speech recognition, controlling hardware with Node.js and Johnny-Five, using WebSockets and MQTT for communication between components, and finally how you can combine the Raspberry Pi and Arduino platforms to gain ultimate power over your own projects!" <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iottechdaycodingmojoslides-160415055651-thumbnail.jpg?width=120&height=120&fit=bounds" /> http://www.iottechday.nl/sessions/how-i-rediscovered-my-coding-mojo-by-building-an-iotrobotics-prototype/ Includes links to video demos. "Come hear the story of how I learned new technologies and rediscovered my coding mojo by building an IoT/robotics prototype: a JavaScript powered, voice-controlled robot! Along the way you can expect to learn about HTML5 speech recognition, controlling hardware with Node.js and Johnny-Five, using WebSockets and MQTT for communication between components, and finally how you can combine the Raspberry Pi and Arduino platforms to gain ultimate power over your own projects!"

IoT Tech Day Coding Mojo slides. Utrecht, April 2016 from Mark West

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0 JavaOne 2015 : How I Rediscovered My Coding Mojo by Building an IoT/Robotics Prototype /slideshow/javaone-2015-how-i-rediscovered-my-coding-mojo-by-building-an-iotrobotics-prototype/54534784 javaonecodingmojo-151029171052-lva1-app6891
Is your project dragging you down? Are you stuck with the same old technologies? Are you bored with coding? If you answer “yes” to any of these questions, you may have lost your coding mojo—just like this session’s speaker did a few years back. Come hear how he learned new technologies and rediscovered his coding mojo by building an IoT/robotics prototype: a voice-controlled robot. Along the way, you’ll hear about HTML5 speech recognition, controlling hardware with Node.js and Johnny-Five, using WebSocket and MQTT for communication between components, and finally how you can easily combine the Raspberry Pi and Arduino platforms to gain ultimate power over your own projects.]]>
Is your project dragging you down? Are you stuck with the same old technologies? Are you bored with coding? If you answer “yes” to any of these questions, you may have lost your coding mojo—just like this session’s speaker did a few years back. Come hear how he learned new technologies and rediscovered his coding mojo by building an IoT/robotics prototype: a voice-controlled robot. Along the way, you’ll hear about HTML5 speech recognition, controlling hardware with Node.js and Johnny-Five, using WebSocket and MQTT for communication between components, and finally how you can easily combine the Raspberry Pi and Arduino platforms to gain ultimate power over your own projects.]]> Thu, 29 Oct 2015 17:10:52 GMT /slideshow/javaone-2015-how-i-rediscovered-my-coding-mojo-by-building-an-iotrobotics-prototype/54534784 markawest@slideshare.net(markawest) JavaOne 2015 : How I Rediscovered My Coding Mojo by Building an IoT/Robotics Prototype markawest Is your project dragging you down? Are you stuck with the same old technologies? Are you bored with coding? If you answer “yes” to any of these questions, you may have lost your coding mojo—just like this session’s speaker did a few years back. Come hear how he learned new technologies and rediscovered his coding mojo by building an IoT/robotics prototype: a voice-controlled robot. Along the way, you’ll hear about HTML5 speech recognition, controlling hardware with Node.js and Johnny-Five, using WebSocket and MQTT for communication between components, and finally how you can easily combine the Raspberry Pi and Arduino platforms to gain ultimate power over your own projects. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/javaonecodingmojo-151029171052-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> Is your project dragging you down? Are you stuck with the same old technologies? Are you bored with coding? If you answer “yes” to any of these questions, you may have lost your coding mojo—just like this session’s speaker did a few years back. Come hear how he learned new technologies and rediscovered his coding mojo by building an IoT/robotics prototype: a voice-controlled robot. Along the way, you’ll hear about HTML5 speech recognition, controlling hardware with Node.js and Johnny-Five, using WebSocket and MQTT for communication between components, and finally how you can easily combine the Raspberry Pi and Arduino platforms to gain ultimate power over your own projects.

JavaOne 2015 : How I Rediscovered My Coding Mojo by Building an IoT/Robotics Prototype from Mark West

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0 https://cdn.slidesharecdn.com/profile-photo-markawest-48x48.jpg?cb=1644913085 My career in the software industry spans over 20 years. I began as a trainee mainframe programmer at a consultancy company back in 1994. In 1996 I jumped at the opportunity to take a contract in Oslo, Norway, and I’ve been here ever since! From 1999 to 2012 I worked as a Developer and Architect in the Java field. After a few years as a Team Leader and Architect I realised that I was ready for a new challenge and since 2012 I have been a full time manager at Bouvet, with a range of responsibilities including recruitment, competency development, project management, personnel responsibility, delivery quality, sales and marketing. I’m a strong believer in learning something new every... https://cdn.slidesharecdn.com/ss_thumbnails/apracticalintroductiontodatascience-190205163522-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/a-practicalish-introduction-to-data-science/130606910 A Practical-ish Introd... https://cdn.slidesharecdn.com/ss_thumbnails/techone-explainingthenewjavareleaseandlicensingmodels-190131194301-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/explaining-the-new-java-release-and-licensing-models-130042953/130042953 Explaining the new Jav... https://cdn.slidesharecdn.com/ss_thumbnails/iotmeetup-addingaitoedgedevices-181113203402-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/iot-meetup-oslo-ai-on-edge-devices/122941904 IoT Meetup Oslo - AI o...