�ݺ�ߣshows by User: jsmith54

�ݺ�ߣshows by User: jsmith54 / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: jsmith54 / Mon, 28 May 2018 21:16:31 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: jsmith54 Questioning Conversational AI /slideshow/questioning-conversational-ai-99264682/99264682 questioningconversationalai-180528211631
Presented at the Bots and AI Meetup on 5/23/18]]>
Presented at the Bots and AI Meetup on 5/23/18]]> Mon, 28 May 2018 21:16:31 GMT /slideshow/questioning-conversational-ai-99264682/99264682 jsmith54@slideshare.net(jsmith54) Questioning Conversational AI jsmith54 Presented at the Bots and AI Meetup on 5/23/18 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/questioningconversationalai-180528211631-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presented at the Bots and AI Meetup on 5/23/18

Questioning Conversational AI from Jeff Smith

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0 Neuroevolution in Elixir /slideshow/neuroevolution-in-elixir-99264681/99264681 neuroevolutioninelixir-180528211631
Presented at EMPEX NYC 2018]]>
Presented at EMPEX NYC 2018]]> Mon, 28 May 2018 21:16:30 GMT /slideshow/neuroevolution-in-elixir-99264681/99264681 jsmith54@slideshare.net(jsmith54) Neuroevolution in Elixir jsmith54 Presented at EMPEX NYC 2018 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/neuroevolutioninelixir-180528211631-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presented at EMPEX NYC 2018

Neuroevolution in Elixir from Jeff Smith

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0 Tools for Making Machine Learning more Reactive /jsmith54/tools-for-making-machine-learning-more-reactive toolsforrml-180528211629
Presented at the Reactive New York Meetup on 5/3/18. Video here: https://livestream.com/accounts/14330061/events/8189196/videos/174325372]]>
Presented at the Reactive New York Meetup on 5/3/18. Video here: https://livestream.com/accounts/14330061/events/8189196/videos/174325372]]> Mon, 28 May 2018 21:16:29 GMT /jsmith54/tools-for-making-machine-learning-more-reactive jsmith54@slideshare.net(jsmith54) Tools for Making Machine Learning more Reactive jsmith54 Presented at the Reactive New York Meetup on 5/3/18. Video here: https://livestream.com/accounts/14330061/events/8189196/videos/174325372 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/toolsforrml-180528211629-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presented at the Reactive New York Meetup on 5/3/18. Video here: https://livestream.com/accounts/14330061/events/8189196/videos/174325372

Tools for Making Machine Learning more Reactive from Jeff Smith

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0 Building Learning Agents /slideshow/building-learning-agents/76027226 buildinglearningagents-170516163129
Presented at the New York Data Science Study Group Meetup on 5/15/17.]]>
Presented at the New York Data Science Study Group Meetup on 5/15/17.]]> Tue, 16 May 2017 16:31:29 GMT /slideshow/building-learning-agents/76027226 jsmith54@slideshare.net(jsmith54) Building Learning Agents jsmith54 Presented at the New York Data Science Study Group Meetup on 5/15/17. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/buildinglearningagents-170516163129-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presented at the New York Data Science Study Group Meetup on 5/15/17.

Building Learning Agents from Jeff Smith

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0 Reactive for Machine Learning Teams /slideshow/reactive-for-machine-learning-teams/74476362 oreillysoftwarearchitecture-170405194656
Presented at O'Reilly's Software Architecture Conference NYC 2017]]>
Presented at O'Reilly's Software Architecture Conference NYC 2017]]> Wed, 05 Apr 2017 19:46:56 GMT /slideshow/reactive-for-machine-learning-teams/74476362 jsmith54@slideshare.net(jsmith54) Reactive for Machine Learning Teams jsmith54 Presented at O'Reilly's Software Architecture Conference NYC 2017 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/oreillysoftwarearchitecture-170405194656-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presented at O'Reilly's Software Architecture Conference NYC 2017

Reactive for Machine Learning Teams from Jeff Smith

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0 Reactive Machine Learning On and Beyond the JVM /slideshow/reactive-machine-learning-on-and-beyond-the-jvm/68597081 reactivemachinelearningdevoxx-161110165945
Presented at Devoxx Belgium 2016: https://devoxx.be/ Video: https://youtu.be/akPLphTykwI]]>
Presented at Devoxx Belgium 2016: https://devoxx.be/ Video: https://youtu.be/akPLphTykwI]]> Thu, 10 Nov 2016 16:59:45 GMT /slideshow/reactive-machine-learning-on-and-beyond-the-jvm/68597081 jsmith54@slideshare.net(jsmith54) Reactive Machine Learning On and Beyond the JVM jsmith54 Presented at Devoxx Belgium 2016: https://devoxx.be/ Video: https://youtu.be/akPLphTykwI <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/reactivemachinelearningdevoxx-161110165945-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presented at Devoxx Belgium 2016: https://devoxx.be/ Video: https://youtu.be/akPLphTykwI

Reactive Machine Learning On and Beyond the JVM from Jeff Smith

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0 Bringing Data Scientists and Engineers Together /slideshow/bringing-data-scientists-and-engineers-together/68062764 ctosummit-161102143223
Presented at Nasdaq Startup CTO Summit NYC 2016]]>
Presented at Nasdaq Startup CTO Summit NYC 2016]]> Wed, 02 Nov 2016 14:32:23 GMT /slideshow/bringing-data-scientists-and-engineers-together/68062764 jsmith54@slideshare.net(jsmith54) Bringing Data Scientists and Engineers Together jsmith54 Presented at Nasdaq Startup CTO Summit NYC 2016 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ctosummit-161102143223-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presented at Nasdaq Startup CTO Summit NYC 2016

Bringing Data Scientists and Engineers Together from Jeff Smith

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0 Characterizing Intelligence with Elixir /slideshow/characterizing-intelligence-with-elixir/67804412 characterizingintelligence-161028184027
Presented at the Empire Elixir Conference (EmpEx) Halloween Party 2016. http://empex.co/]]>
Presented at the Empire Elixir Conference (EmpEx) Halloween Party 2016. http://empex.co/]]> Fri, 28 Oct 2016 18:40:27 GMT /slideshow/characterizing-intelligence-with-elixir/67804412 jsmith54@slideshare.net(jsmith54) Characterizing Intelligence with Elixir jsmith54 Presented at the Empire Elixir Conference (EmpEx) Halloween Party 2016. http://empex.co/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/characterizingintelligence-161028184027-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presented at the Empire Elixir Conference (EmpEx) Halloween Party 2016. http://empex.co/

Characterizing Intelligence with Elixir from Jeff Smith

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0 Reactive Learning Agents /slideshow/reactive-learning-agents/65976111 reactivelearningagents-160913134557
Presented at the Google Developer Group NYC Meetup on 9/12/16 http://www.meetup.com/gdgnyc/events/231371634/ This talk is focused on the design of learning agents using the techniques of reactive machine learning. We explored the difference between software agents (bots), intelligent agents, and learning agents. As the most complex class of agent, a learning agent has a sophisticated internal architecture, which we broke down into different capabilities. Finally, we examined how the techniques from reactive machine learning can allow us to build learning capabilities into our agents. This talk is not just be about AI concepts, though. It covers a range of pragmatic techniques to aid you in your efforts to implement learning agents. Throughout, we considered where and how we can use external resources like libraries, services, datasets, and even humans to solve sub-problems in the agent design process.]]>
Presented at the Google Developer Group NYC Meetup on 9/12/16 http://www.meetup.com/gdgnyc/events/231371634/ This talk is focused on the design of learning agents using the techniques of reactive machine learning. We explored the difference between software agents (bots), intelligent agents, and learning agents. As the most complex class of agent, a learning agent has a sophisticated internal architecture, which we broke down into different capabilities. Finally, we examined how the techniques from reactive machine learning can allow us to build learning capabilities into our agents. This talk is not just be about AI concepts, though. It covers a range of pragmatic techniques to aid you in your efforts to implement learning agents. Throughout, we considered where and how we can use external resources like libraries, services, datasets, and even humans to solve sub-problems in the agent design process.]]> Tue, 13 Sep 2016 13:45:56 GMT /slideshow/reactive-learning-agents/65976111 jsmith54@slideshare.net(jsmith54) Reactive Learning Agents jsmith54 Presented at the Google Developer Group NYC Meetup on 9/12/16 http://www.meetup.com/gdgnyc/events/231371634/ This talk is focused on the design of learning agents using the techniques of reactive machine learning. We explored the difference between software agents (bots), intelligent agents, and learning agents. As the most complex class of agent, a learning agent has a sophisticated internal architecture, which we broke down into different capabilities. Finally, we examined how the techniques from reactive machine learning can allow us to build learning capabilities into our agents. This talk is not just be about AI concepts, though. It covers a range of pragmatic techniques to aid you in your efforts to implement learning agents. Throughout, we considered where and how we can use external resources like libraries, services, datasets, and even humans to solve sub-problems in the agent design process. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/reactivelearningagents-160913134557-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presented at the Google Developer Group NYC Meetup on 9/12/16 http://www.meetup.com/gdgnyc/events/231371634/ This talk is focused on the design of learning agents using the techniques of reactive machine learning. We explored the difference between software agents (bots), intelligent agents, and learning agents. As the most complex class of agent, a learning agent has a sophisticated internal architecture, which we broke down into different capabilities. Finally, we examined how the techniques from reactive machine learning can allow us to build learning capabilities into our agents. This talk is not just be about AI concepts, though. It covers a range of pragmatic techniques to aid you in your efforts to implement learning agents. Throughout, we considered where and how we can use external resources like libraries, services, datasets, and even humans to solve sub-problems in the agent design process.

Reactive Learning Agents from Jeff Smith

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0 Spark for Reactive Machine Learning: Building Intelligent Agents at Scale /slideshow/spark-for-reactive-machine-learning-building-intelligent-agents-at-scale/61961395 sparkforreactivemachinelearning-160512190356
Presented at the Open Source Analytics-New York Meetup on 5/11/16]]>
Presented at the Open Source Analytics-New York Meetup on 5/11/16]]> Thu, 12 May 2016 19:03:56 GMT /slideshow/spark-for-reactive-machine-learning-building-intelligent-agents-at-scale/61961395 jsmith54@slideshare.net(jsmith54) Spark for Reactive Machine Learning: Building Intelligent Agents at Scale jsmith54 Presented at the Open Source Analytics-New York Meetup on 5/11/16 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sparkforreactivemachinelearning-160512190356-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presented at the Open Source Analytics-New York Meetup on 5/11/16

Spark for Reactive Machine Learning: Building Intelligent Agents at Scale from Jeff Smith

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0 Introducing Reactive Machine Learning /slideshow/introducing-reactive-machine-learning/59336083 introducingreactivemachinelearning-160309200307
Presented at the Reactive New York Meetup on 3/8/16.]]>
Presented at the Reactive New York Meetup on 3/8/16.]]> Wed, 09 Mar 2016 20:03:07 GMT /slideshow/introducing-reactive-machine-learning/59336083 jsmith54@slideshare.net(jsmith54) Introducing Reactive Machine Learning jsmith54 Presented at the Reactive New York Meetup on 3/8/16. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introducingreactivemachinelearning-160309200307-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presented at the Reactive New York Meetup on 3/8/16.

Introducing Reactive Machine Learning from Jeff Smith

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0 Collecting Uncertain Data the Reactive Way /slideshow/collecting-ucertain-data-the-reactive-way/56050107 reactivedatacollectionv2-151211112516
Related Resources ---------------------- Video (starts at 25 minutes): https://skillsmatter.com/skillscasts/7038-lightning-talks-2 From Scala Exchange 2015: https://skillsmatter.com/conferences/1948-scala-exchange-2014 Reactive Machine Learning: http://www.reactivemachinelearning.com/ Data Engineering blogging: https://medium.com/data-engineering Talk Summary ----------------- Before you can ever get started building large-scale data analytic systems, you need to start with one crucial element: data. Collecting data, especially collecting lots of data, is harder than it seems. Data ingested with the wrong data model can be worse than no data at all. A data collection system that is too slow can bring an entire platform grinding to a halt. Don't panic! Scalable, non-destructive data collection is possible. This talk will focus on strategies for data collection based on real world experience building large scale machine learning systems. It will introduce ideas from the emerging paradigm of reactive machine learning that are based on older ideas about immutable facts and pervasive, intrinsic uncertainty.]]>
Related Resources ---------------------- Video (starts at 25 minutes): https://skillsmatter.com/skillscasts/7038-lightning-talks-2 From Scala Exchange 2015: https://skillsmatter.com/conferences/1948-scala-exchange-2014 Reactive Machine Learning: http://www.reactivemachinelearning.com/ Data Engineering blogging: https://medium.com/data-engineering Talk Summary ----------------- Before you can ever get started building large-scale data analytic systems, you need to start with one crucial element: data. Collecting data, especially collecting lots of data, is harder than it seems. Data ingested with the wrong data model can be worse than no data at all. A data collection system that is too slow can bring an entire platform grinding to a halt. Don't panic! Scalable, non-destructive data collection is possible. This talk will focus on strategies for data collection based on real world experience building large scale machine learning systems. It will introduce ideas from the emerging paradigm of reactive machine learning that are based on older ideas about immutable facts and pervasive, intrinsic uncertainty.]]> Fri, 11 Dec 2015 11:25:16 GMT /slideshow/collecting-ucertain-data-the-reactive-way/56050107 jsmith54@slideshare.net(jsmith54) Collecting Uncertain Data the Reactive Way jsmith54 Related Resources ---------------------- Video (starts at 25 minutes): https://skillsmatter.com/skillscasts/7038-lightning-talks-2 From Scala Exchange 2015: https://skillsmatter.com/conferences/1948-scala-exchange-2014 Reactive Machine Learning: http://www.reactivemachinelearning.com/ Data Engineering blogging: https://medium.com/data-engineering Talk Summary ----------------- Before you can ever get started building large-scale data analytic systems, you need to start with one crucial element: data. Collecting data, especially collecting lots of data, is harder than it seems. Data ingested with the wrong data model can be worse than no data at all. A data collection system that is too slow can bring an entire platform grinding to a halt. Don't panic! Scalable, non-destructive data collection is possible. This talk will focus on strategies for data collection based on real world experience building large scale machine learning systems. It will introduce ideas from the emerging paradigm of reactive machine learning that are based on older ideas about immutable facts and pervasive, intrinsic uncertainty. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/reactivedatacollectionv2-151211112516-thumbnail.jpg?width=120&height=120&fit=bounds" /> Related Resources ---------------------- Video (starts at 25 minutes): https://skillsmatter.com/skillscasts/7038-lightning-talks-2 From Scala Exchange 2015: https://skillsmatter.com/conferences/1948-scala-exchange-2014 Reactive Machine Learning: http://www.reactivemachinelearning.com/ Data Engineering blogging: https://medium.com/data-engineering Talk Summary ----------------- Before you can ever get started building large-scale data analytic systems, you need to start with one crucial element: data. Collecting data, especially collecting lots of data, is harder than it seems. Data ingested with the wrong data model can be worse than no data at all. A data collection system that is too slow can bring an entire platform grinding to a halt. Don't panic! Scalable, non-destructive data collection is possible. This talk will focus on strategies for data collection based on real world experience building large scale machine learning systems. It will introduce ideas from the emerging paradigm of reactive machine learning that are based on older ideas about immutable facts and pervasive, intrinsic uncertainty.

Collecting Uncertain Data the Reactive Way from Jeff Smith

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0 Reactive Machine Learning and Functional Programming /slideshow/reactive-machine-learning-and-functional-programming/50647154 reactivemachinelearningandfunctionalprogramming-150717202453-lva1-app6891
My talk from Lambda Jam 2015 on the connection between reactive machine learning and functional programming. Find out more at http://www.reactivemachinelearning.com/ .]]>
My talk from Lambda Jam 2015 on the connection between reactive machine learning and functional programming. Find out more at http://www.reactivemachinelearning.com/ .]]> Fri, 17 Jul 2015 20:24:53 GMT /slideshow/reactive-machine-learning-and-functional-programming/50647154 jsmith54@slideshare.net(jsmith54) Reactive Machine Learning and Functional Programming jsmith54 My talk from Lambda Jam 2015 on the connection between reactive machine learning and functional programming. Find out more at http://www.reactivemachinelearning.com/ . <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/reactivemachinelearningandfunctionalprogramming-150717202453-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> My talk from Lambda Jam 2015 on the connection between reactive machine learning and functional programming. Find out more at http://www.reactivemachinelearning.com/ .

Reactive Machine Learning and Functional Programming from Jeff Smith

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0 Huhdoop?: Uncertain Data Management on Non-Relational Database Systems /slideshow/huhdoop-uncertain-data-management-on-nonrelational-database-systems/31224198 huhdoop-140214150200-phpapp02
A year of research into uncertain data management, summed up in memes. My apologies in advance.]]>
A year of research into uncertain data management, summed up in memes. My apologies in advance.]]> Fri, 14 Feb 2014 15:02:00 GMT /slideshow/huhdoop-uncertain-data-management-on-nonrelational-database-systems/31224198 jsmith54@slideshare.net(jsmith54) Huhdoop?: Uncertain Data Management on Non-Relational Database Systems jsmith54 A year of research into uncertain data management, summed up in memes. My apologies in advance. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/huhdoop-140214150200-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> A year of research into uncertain data management, summed up in memes. My apologies in advance.

Huhdoop?: Uncertain Data Management on Non-Relational Database Systems from Jeff Smith

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0 Breadth or Depth: What's in a column-store? /slideshow/breadth-or-depth-whats-in-a-columnstore/16713571 column-stores-130223033703-phpapp02
My talk from Barcamp2013 in HK at PolyU]]>
My talk from Barcamp2013 in HK at PolyU]]> Sat, 23 Feb 2013 03:37:03 GMT /slideshow/breadth-or-depth-whats-in-a-columnstore/16713571 jsmith54@slideshare.net(jsmith54) Breadth or Depth: What's in a column-store? jsmith54 My talk from Barcamp2013 in HK at PolyU <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/column-stores-130223033703-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> My talk from Barcamp2013 in HK at PolyU

Breadth or Depth: What's in a column-store? from Jeff Smith

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0 Save the server, Save the world /slideshow/save-the-server-save-the-world/13632187 opensourcemonitoringtools-120713112346-phpapp02
Open Source Monitoring Software]]>
Open Source Monitoring Software]]> Fri, 13 Jul 2012 11:23:44 GMT /slideshow/save-the-server-save-the-world/13632187 jsmith54@slideshare.net(jsmith54) Save the server, Save the world jsmith54 Open Source Monitoring Software <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/opensourcemonitoringtools-120713112346-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Open Source Monitoring Software

Save the server, Save the world from Jeff Smith

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0 NoSQL in Perspective /slideshow/nosql-in-perspective-12979118/12979118 nosqlinperspective-120518013807-phpapp02
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NoSQL in Perspective from Jeff Smith

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0 https://cdn.slidesharecdn.com/profile-photo-jsmith54-48x48.jpg?cb=1565054210 www.jeffsmith.tech https://cdn.slidesharecdn.com/ss_thumbnails/questioningconversationalai-180528211631-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/questioning-conversational-ai-99264682/99264682 Questioning Conversati... https://cdn.slidesharecdn.com/ss_thumbnails/neuroevolutioninelixir-180528211631-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/neuroevolution-in-elixir-99264681/99264681 Neuroevolution in Elixir https://cdn.slidesharecdn.com/ss_thumbnails/toolsforrml-180528211629-thumbnail.jpg?width=320&height=320&fit=bounds jsmith54/tools-for-making-machine-learning-more-reactive Tools for Making Machi...