�ݺ�ߣshows by User: SorinPeste

�ݺ�ߣshows by User: SorinPeste / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: SorinPeste / Mon, 17 Dec 2018 19:28:20 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: SorinPeste Microsoft Automated ML Service /slideshow/microsoft-automated-ml-service/126139583 automl-181217192820
Automated ML empowers customers, with or without data science expertise, to identify an end-to-end machine learning pipeline for any problem, achieving higher accuracy while spending far less of their time. And it enables a significantly larger number of experiments to be run, resulting in faster iteration towards production-ready intelligent experiences.]]>
Automated ML empowers customers, with or without data science expertise, to identify an end-to-end machine learning pipeline for any problem, achieving higher accuracy while spending far less of their time. And it enables a significantly larger number of experiments to be run, resulting in faster iteration towards production-ready intelligent experiences.]]> Mon, 17 Dec 2018 19:28:20 GMT /slideshow/microsoft-automated-ml-service/126139583 SorinPeste@slideshare.net(SorinPeste) Microsoft Automated ML Service SorinPeste Automated ML empowers customers, with or without data science expertise, to identify an end-to-end machine learning pipeline for any problem, achieving higher accuracy while spending far less of their time. And it enables a significantly larger number of experiments to be run, resulting in faster iteration towards production-ready intelligent experiences. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/automl-181217192820-thumbnail.jpg?width=120&height=120&fit=bounds" /> Automated ML empowers customers, with or without data science expertise, to identify an end-to-end machine learning pipeline for any problem, achieving higher accuracy while spending far less of their time. And it enables a significantly larger number of experiments to be run, resulting in faster iteration towards production-ready intelligent experiences.

Microsoft Automated ML Service from Sorin Peste

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0 Using Deep Learning (Computer Vision) to Search for Oil and Gas /SorinPeste/using-deep-learning-computer-vision-to-search-for-oil-and-gas usingdeeplearningtosearchforoilandgas-181028163724
Several areas of Earth with large accumulations of oil and gas also have huge deposits of salt below the surface. Salt bodies are known for their propensity to form nice oil traps. However, knowing where large salt deposits are precisely is very difficult. Professional seismic imaging still requires expert human interpretation of salt bodies. This leads to very subjective, highly variable renderings. More alarmingly, it leads to potentially dangerous situations for oil and gas company drillers. That's why the oil & gas industry is now employing AI-based approaches to automatically identify subsurface salt bodies. This presentation showcases how Deep Learning is used to scan underground seismic images, looking for potentially resource-rich areas. Python code included and publicly available at: https://github.com/neaorin/kaggle-tgs-challenge]]>
Several areas of Earth with large accumulations of oil and gas also have huge deposits of salt below the surface. Salt bodies are known for their propensity to form nice oil traps. However, knowing where large salt deposits are precisely is very difficult. Professional seismic imaging still requires expert human interpretation of salt bodies. This leads to very subjective, highly variable renderings. More alarmingly, it leads to potentially dangerous situations for oil and gas company drillers. That's why the oil & gas industry is now employing AI-based approaches to automatically identify subsurface salt bodies. This presentation showcases how Deep Learning is used to scan underground seismic images, looking for potentially resource-rich areas. Python code included and publicly available at: https://github.com/neaorin/kaggle-tgs-challenge]]> Sun, 28 Oct 2018 16:37:24 GMT /SorinPeste/using-deep-learning-computer-vision-to-search-for-oil-and-gas SorinPeste@slideshare.net(SorinPeste) Using Deep Learning (Computer Vision) to Search for Oil and Gas SorinPeste Several areas of Earth with large accumulations of oil and gas also have huge deposits of salt below the surface. Salt bodies are known for their propensity to form nice oil traps. However, knowing where large salt deposits are precisely is very difficult. Professional seismic imaging still requires expert human interpretation of salt bodies. This leads to very subjective, highly variable renderings. More alarmingly, it leads to potentially dangerous situations for oil and gas company drillers. That's why the oil & gas industry is now employing AI-based approaches to automatically identify subsurface salt bodies. This presentation showcases how Deep Learning is used to scan underground seismic images, looking for potentially resource-rich areas. Python code included and publicly available at: https://github.com/neaorin/kaggle-tgs-challenge <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/usingdeeplearningtosearchforoilandgas-181028163724-thumbnail.jpg?width=120&height=120&fit=bounds" /> Several areas of Earth with large accumulations of oil and gas also have huge deposits of salt below the surface. Salt bodies are known for their propensity to form nice oil traps. However, knowing where large salt deposits are precisely is very difficult. Professional seismic imaging still requires expert human interpretation of salt bodies. This leads to very subjective, highly variable renderings. More alarmingly, it leads to potentially dangerous situations for oil and gas company drillers. That's why the oil & gas industry is now employing AI-based approaches to automatically identify subsurface salt bodies. This presentation showcases how Deep Learning is used to scan underground seismic images, looking for potentially resource-rich areas. Python code included and publicly available at: https://github.com/neaorin/kaggle-tgs-challenge

Using Deep Learning (Computer Vision) to Search for Oil and Gas from Sorin Peste

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0 Introduction to Reinforcement Learning /slideshow/introduction-to-reinforcement-learning-102346681/102346681 reinforcementlearningintro-sorinpeste-180613200522
Reinforcement Learning is learning what to do – what action to take in a specific situation – in order to maximize some type of reward. It’s one of the most promising areas of Machine Learning today. It plays an important part in some very high-profile success stories of AI, such as mastering Go, learning to play computer games, autonomous driving, autonomous stock trading, and more. In this talk we’ll introduce the main theoretical and practical aspects of Reinforcement Learning, discuss its very distinctive set of challenges, and explore what the future looks like for self-training machines.]]>
Reinforcement Learning is learning what to do – what action to take in a specific situation – in order to maximize some type of reward. It’s one of the most promising areas of Machine Learning today. It plays an important part in some very high-profile success stories of AI, such as mastering Go, learning to play computer games, autonomous driving, autonomous stock trading, and more. In this talk we’ll introduce the main theoretical and practical aspects of Reinforcement Learning, discuss its very distinctive set of challenges, and explore what the future looks like for self-training machines.]]> Wed, 13 Jun 2018 20:05:22 GMT /slideshow/introduction-to-reinforcement-learning-102346681/102346681 SorinPeste@slideshare.net(SorinPeste) Introduction to Reinforcement Learning SorinPeste Reinforcement Learning is learning what to do – what action to take in a specific situation – in order to maximize some type of reward. It’s one of the most promising areas of Machine Learning today. It plays an important part in some very high-profile success stories of AI, such as mastering Go, learning to play computer games, autonomous driving, autonomous stock trading, and more. In this talk we’ll introduce the main theoretical and practical aspects of Reinforcement Learning, discuss its very distinctive set of challenges, and explore what the future looks like for self-training machines. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/reinforcementlearningintro-sorinpeste-180613200522-thumbnail.jpg?width=120&height=120&fit=bounds" /> Reinforcement Learning is learning what to do – what action to take in a specific situation – in order to maximize some type of reward. It’s one of the most promising areas of Machine Learning today. It plays an important part in some very high-profile success stories of AI, such as mastering Go, learning to play computer games, autonomous driving, autonomous stock trading, and more. In this talk we’ll introduce the main theoretical and practical aspects of Reinforcement Learning, discuss its very distinctive set of challenges, and explore what the future looks like for self-training machines.

Introduction to Reinforcement Learning from Sorin Peste

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0 Spark for Recommender Systems /slideshow/spark-for-recommender-systems/98547592 sparkforrecommendersystemssorinpe-180524194219
We will cover Apache Spark's Machine Learning Library (MLlib) This presentation covers using Spark for recommender systems. MLlib is a library built on top of Spark's engine which allows us to train, test, validate and operationalize machine learning models while working with lots of data in a convenient way thanks to its robust abstractions over data sets. Find out how you can use MLlib to build product recommendation systems by employing both traditional ML techniques such as collaborative filtering, as well as more novel, deep-learning approaches which make use of Neural Networks.]]>
We will cover Apache Spark's Machine Learning Library (MLlib) This presentation covers using Spark for recommender systems. MLlib is a library built on top of Spark's engine which allows us to train, test, validate and operationalize machine learning models while working with lots of data in a convenient way thanks to its robust abstractions over data sets. Find out how you can use MLlib to build product recommendation systems by employing both traditional ML techniques such as collaborative filtering, as well as more novel, deep-learning approaches which make use of Neural Networks.]]> Thu, 24 May 2018 19:42:19 GMT /slideshow/spark-for-recommender-systems/98547592 SorinPeste@slideshare.net(SorinPeste) Spark for Recommender Systems SorinPeste We will cover Apache Spark's Machine Learning Library (MLlib) This presentation covers using Spark for recommender systems. MLlib is a library built on top of Spark's engine which allows us to train, test, validate and operationalize machine learning models while working with lots of data in a convenient way thanks to its robust abstractions over data sets. Find out how you can use MLlib to build product recommendation systems by employing both traditional ML techniques such as collaborative filtering, as well as more novel, deep-learning approaches which make use of Neural Networks. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sparkforrecommendersystemssorinpe-180524194219-thumbnail.jpg?width=120&height=120&fit=bounds" /> We will cover Apache Spark's Machine Learning Library (MLlib) This presentation covers using Spark for recommender systems. MLlib is a library built on top of Spark's engine which allows us to train, test, validate and operationalize machine learning models while working with lots of data in a convenient way thanks to its robust abstractions over data sets. Find out how you can use MLlib to build product recommendation systems by employing both traditional ML techniques such as collaborative filtering, as well as more novel, deep-learning approaches which make use of Neural Networks.

Spark for Recommender Systems from Sorin Peste

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0 SQL Server 2017 Machine Learning Services /slideshow/sql-server-2017-machine-learning-services/83590101 sqlservermlservicessorinpeste-171207203705
SQL Server 2017 Machine Learning Services - an overview]]>
SQL Server 2017 Machine Learning Services - an overview]]> Thu, 07 Dec 2017 20:37:05 GMT /slideshow/sql-server-2017-machine-learning-services/83590101 SorinPeste@slideshare.net(SorinPeste) SQL Server 2017 Machine Learning Services SorinPeste SQL Server 2017 Machine Learning Services - an overview <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sqlservermlservicessorinpeste-171207203705-thumbnail.jpg?width=120&height=120&fit=bounds" /> SQL Server 2017 Machine Learning Services - an overview

SQL Server 2017 Machine Learning Services from Sorin Peste

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0 Build an Intelligent Bot (Node.js) /SorinPeste/build-an-intelligent-bot-nodejs sorinpeste-buildanintelligentbotnode-170626142604
Bots are all the rage these days. But if you need one that's capable of understanding your users' natural language, so it can figure out what they WANT and not just what they say, then you're going to need some pretty strong AI behind it. Come to this session to find out how you can use Node.js and Microsoft Bot Framework together with Language Understanding Intelligent Service (luis.ai) to build an intelligent bot for Skype, Slack, Facebook, SMS and more. ]]>
Bots are all the rage these days. But if you need one that's capable of understanding your users' natural language, so it can figure out what they WANT and not just what they say, then you're going to need some pretty strong AI behind it. Come to this session to find out how you can use Node.js and Microsoft Bot Framework together with Language Understanding Intelligent Service (luis.ai) to build an intelligent bot for Skype, Slack, Facebook, SMS and more. ]]> Mon, 26 Jun 2017 14:26:04 GMT /SorinPeste/build-an-intelligent-bot-nodejs SorinPeste@slideshare.net(SorinPeste) Build an Intelligent Bot (Node.js) SorinPeste Bots are all the rage these days. But if you need one that's capable of understanding your users' natural language, so it can figure out what they WANT and not just what they say, then you're going to need some pretty strong AI behind it. Come to this session to find out how you can use Node.js and Microsoft Bot Framework together with Language Understanding Intelligent Service (luis.ai) to build an intelligent bot for Skype, Slack, Facebook, SMS and more. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sorinpeste-buildanintelligentbotnode-170626142604-thumbnail.jpg?width=120&height=120&fit=bounds" /> Bots are all the rage these days. But if you need one that's capable of understanding your users' natural language, so it can figure out what they WANT and not just what they say, then you're going to need some pretty strong AI behind it. Come to this session to find out how you can use Node.js and Microsoft Bot Framework together with Language Understanding Intelligent Service (luis.ai) to build an intelligent bot for Skype, Slack, Facebook, SMS and more.

Build an Intelligent Bot (Node.js) from Sorin Peste

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0 Automate your UI testing for Android and iOS apps with the Xamarin Test Cloud /slideshow/automate-your-ui-testing-for-android-and-ios-apps-with-the-xamarin-test-cloud/73855165 sorinpeste-xamarintestcloud-170329091924
You've done a nice job building your new mobile app - but are your users going to stick around enough to actually use it? Research shows that two thirds of users will quickly abandon your app if it doesn't work well for them. But with hundreds of iOS and Android devices out there, can you reasonably expect to test your app on all of them? Enter Xamarin Test Cloud: a service to help you automate mobile testing on actual, physical devices, improve your app's quality, and give your users that great first impression - all without leaving your own desk. ]]>
You've done a nice job building your new mobile app - but are your users going to stick around enough to actually use it? Research shows that two thirds of users will quickly abandon your app if it doesn't work well for them. But with hundreds of iOS and Android devices out there, can you reasonably expect to test your app on all of them? Enter Xamarin Test Cloud: a service to help you automate mobile testing on actual, physical devices, improve your app's quality, and give your users that great first impression - all without leaving your own desk. ]]> Wed, 29 Mar 2017 09:19:24 GMT /slideshow/automate-your-ui-testing-for-android-and-ios-apps-with-the-xamarin-test-cloud/73855165 SorinPeste@slideshare.net(SorinPeste) Automate your UI testing for Android and iOS apps with the Xamarin Test Cloud SorinPeste You've done a nice job building your new mobile app - but are your users going to stick around enough to actually use it? Research shows that two thirds of users will quickly abandon your app if it doesn't work well for them. But with hundreds of iOS and Android devices out there, can you reasonably expect to test your app on all of them? Enter Xamarin Test Cloud: a service to help you automate mobile testing on actual, physical devices, improve your app's quality, and give your users that great first impression - all without leaving your own desk. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sorinpeste-xamarintestcloud-170329091924-thumbnail.jpg?width=120&height=120&fit=bounds" /> You've done a nice job building your new mobile app - but are your users going to stick around enough to actually use it? Research shows that two thirds of users will quickly abandon your app if it doesn't work well for them. But with hundreds of iOS and Android devices out there, can you reasonably expect to test your app on all of them? Enter Xamarin Test Cloud: a service to help you automate mobile testing on actual, physical devices, improve your app's quality, and give your users that great first impression - all without leaving your own desk.

Automate your UI testing for Android and iOS apps with the Xamarin Test Cloud from Sorin Peste

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0 Build an Intelligent Bot /slideshow/build-an-intelligent-bot/73406412 sorinpeste-buildanintelligentbot-170321103446
This presentation discusses using Microsoft Bot Framework (https://dev.botframework.com/) and Language Understanding Intelligent Service (https://www.luis.ai/) to build a bot that can interact with users in an intelligent way. Code and instructions: https://github.com/neaorin/BotFrameworkDemo]]>
This presentation discusses using Microsoft Bot Framework (https://dev.botframework.com/) and Language Understanding Intelligent Service (https://www.luis.ai/) to build a bot that can interact with users in an intelligent way. Code and instructions: https://github.com/neaorin/BotFrameworkDemo]]> Tue, 21 Mar 2017 10:34:45 GMT /slideshow/build-an-intelligent-bot/73406412 SorinPeste@slideshare.net(SorinPeste) Build an Intelligent Bot SorinPeste This presentation discusses using Microsoft Bot Framework (https://dev.botframework.com/) and Language Understanding Intelligent Service (https://www.luis.ai/) to build a bot that can interact with users in an intelligent way. Code and instructions: https://github.com/neaorin/BotFrameworkDemo <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sorinpeste-buildanintelligentbot-170321103446-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation discusses using Microsoft Bot Framework (https://dev.botframework.com/) and Language Understanding Intelligent Service (https://www.luis.ai/) to build a bot that can interact with users in an intelligent way. Code and instructions: https://github.com/neaorin/BotFrameworkDemo

Build an Intelligent Bot from Sorin Peste

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0 SQL Server on Linux - march 2017 /slideshow/sql-server-on-linux-march-2017/72933802 sqlserveronlinuxmarch2017-170308082757
An overview of Microsoft's SQL Server running on Linux (CTP 1.3 - March 2017)]]>
An overview of Microsoft's SQL Server running on Linux (CTP 1.3 - March 2017)]]> Wed, 08 Mar 2017 08:27:57 GMT /slideshow/sql-server-on-linux-march-2017/72933802 SorinPeste@slideshare.net(SorinPeste) SQL Server on Linux - march 2017 SorinPeste An overview of Microsoft's SQL Server running on Linux (CTP 1.3 - March 2017) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sqlserveronlinuxmarch2017-170308082757-thumbnail.jpg?width=120&height=120&fit=bounds" /> An overview of Microsoft's SQL Server running on Linux (CTP 1.3 - March 2017)

SQL Server on Linux - march 2017 from Sorin Peste

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0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/automl-181217192820-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/microsoft-automated-ml-service/126139583 Microsoft Automated ML... https://cdn.slidesharecdn.com/ss_thumbnails/usingdeeplearningtosearchforoilandgas-181028163724-thumbnail.jpg?width=320&height=320&fit=bounds SorinPeste/using-deep-learning-computer-vision-to-search-for-oil-and-gas Using Deep Learning (C... https://cdn.slidesharecdn.com/ss_thumbnails/reinforcementlearningintro-sorinpeste-180613200522-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/introduction-to-reinforcement-learning-102346681/102346681 Introduction to Reinfo...