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AI News Sunday, February 11

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AI News TLDR / Table of Contents

  • How to build your own AlphaZero AI using Python and Keras
    • The codebase contains a replica of the AlphaZero methodology, built in Python and Keras. Gain a deeper understanding of how AlphaZero works and adapt the code to plug in new games.
    • neural network, game, AlphaGo Zero, algorithm, neural network version
  • TensorFlow for R | RStudio Blog
    • Over the past year we’ve been hard at work on creating R interfaces to TensorFlow, an open-source machine learning framework from Google. We are excited about TensorFlow for many reasons, not the least of which is its state-of-the-art infrastructure for deep learning applications.
    • deep learning, TensorFlow, deep learning applications, NVIDIA GPU, high-end NVIDIA GPU
  • A to Z of Analytics
    • Analytics has taken world by storm & It it the powerhouse for all the digital transformation happening in every industry.Today everybody is generati…
    • data preparation, Big Data platform, data preparation step, data mining group, exploratory data analysis
  • These 100 companies are leading the world in artificial intelligence
    • CB Insights has released its list of the 100 companies leading the way in AI.
    • CB Insights, John Perry Barlow, promising A.I. startups, firm CB Insights, World Economic Forum
  • YouTube
    • Duration, ngAtlanta, views, Angular vs React.js, Smart Angular Elements
  • YouTube
    • Learn about robotics using a kit to build your own robotic assistant. Futurism’s mission is to empower our readers and drive the development of transformativ…
    • Duration, ngAtlanta, views, Angular vs React.js, Smart Angular Elements

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Score: 2649.6320509849356
URL: https://medium.com/applied-data-science/how-to-build-your-own-alphazero-ai-using-python-and-keras-7f664945c188
Tweeted At: Fri Jan 26 20:54:48 +0000 2018
Publish Date: 2018-01-26T14:45:21.973000+00:00
Author: David Foster

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How to build your own AlphaZero AI using Python and Keras

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  • For example, given the empty board and action 38, the takeAction method return a new game state, with the starting player’s piece at the bottom of the centre column.You can replace the game.py file with any game file that conforms to the same API and the algorithm will in principal,…
  • It then returns the chosen action to the game, to enact the move.The replay method retrains the neural network, using memories from previous games.model.pyA sample of the residual convolutional network build using KerasThis file contains the Residual_CNN class, which defines how to build an instance of the neural network.It uses a…
  • To speed the algorithm up, try the following parameters instead.funcs.pyContains the playMatches and playMatchesBetweenVersions functions that play matches between two agents.To play against your creation, run the following code (it’s also in the run.ipynb notebook)from game import Gamefrom funcs import loggers as lgenv = 1 # the run version number…
  • Running the algorithm as usual will then start from this checkpoint.memory.pyAn instance of the Memory class stores the memories of previous games, that the algorithm uses to retrain the neural network of the current_player.
  • For example, here is a sample from the logger.mcts file.Output from the logger.mcts fileEqually from the logger.tourney file, you can see the probabilities attached to each move, during the evaluation phase:Output from the logger.tourney fileResultsTraining over a couple of days produces the following chart of loss against mini-batch iteration number:Loss…

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: neural network, game, AlphaGo Zero, algorithm, neural network version[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]How to build your own AlphaZero AI using Python and Keras[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”TensorFlow-for-R-RStudio-Blog”][vc_column width=”1/2″][vc_separator][vc_column_text]

Score: 1502.7940537727045
URL: https://blog.rstudio.com/2018/02/06/tensorflow-for-r/
Tweeted At: Wed Feb 07 16:47:46 +0000 2018
Publish Date:
Author:

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TensorFlow for R | RStudio Blog

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  • Over the past year we’ve been hard at work on creating R interfaces to TensorFlow, an open-source machine learning framework from Google.
  • On Saturday, we formally announced our work on TensorFlow during J.J. Allaire’s keynote at rstudio::conf: – – In the keynote, J.J. describes not only the work we’ve done on TensorFlow but also discusses deep learning more broadly (what it is, how it works, and where it might be relevant to…
  • RStudio Server with Tensorflow-GPU for AWS (an Amazon EC2 image preconfigured with NVIDIA CUDA drivers, TensorFlow, the TensorFlow for R interface, as well as RStudio Server).
  • We’ve also made a significant investment in learning resources, all of these resources are available on the TensorFlow for R website at Some of the learning resources include: Deep Learning with R – – Deep Learning with R is meant for statisticians, analysts, engineers, and students with a reasonable amount…
  • If you are an R user who has been curious about TensorFlow and/or deep learning applications, now is a great time to dive in and learn more!

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: deep learning, TensorFlow, deep learning applications, NVIDIA GPU, high-end NVIDIA GPU[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]TensorFlow for R | RStudio Blog[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”A-to-Z-of-Analytics”][vc_column width=”1/2″][vc_separator][vc_column_text]

Score: 1144.511606180381
URL: https://www.datasciencecentral.com/profiles/blogs/a-to-z-of-analytics
Tweeted At: Sun Feb 11 19:00:45 +0000 2018
Publish Date:
Author: Sandeep Raut

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A to Z of Analytics

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  • Analytics has taken world by storm & It it the powerhouse for all the digital transformation happening in every industry.
  • Today everybody is generating tons of data – we as consumers leaving digital footprints on social media,IoT generating millions of records from sensors, Mobile phones are used from morning till we sleep.
  • But only storing this data is not going to take us anywhere unless analytics is applied on it.
  • Hence it is extremely important to close the loop with Analytics insights.
  • Here is my version of A to Z for Analytics:

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: data preparation, Big Data platform, data preparation step, data mining group, exploratory data analysis[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]A to Z of Analytics – Data Science Central[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”These-100-companies-are-leading-the-world-in-artificial-intelligence”][vc_column width=”1/2″][vc_separator][vc_column_text]

Score: 3853.1630213207272
URL: https://www.weforum.org/agenda/2018/01/these-100-companies-are-leading-the-world-in-artificial-intelligence
Tweeted At: Sat Feb 03 07:33:02 +0000 2018
Publish Date:
Author: Derek O’Halloran

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These 100 companies are leading the world in artificial intelligence

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    [/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: CB Insights, John Perry Barlow, promising A.I. startups, firm CB Insights, World Economic Forum[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

    [/vc_column_text][vc_column_text el_class=”topfeed-embedly”]These 100 companies are leading the world in artificial intelligence | World Economic Forum[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”YouTube”][vc_column width=”1/2″][vc_separator][vc_column_text]

    Score: 2927.5224915097738
    URL: https://www.youtube.com/watch?feature=youtu.be&v=muuJpc1e2Nc
    Tweeted At: Sun Feb 11 19:00:48 +0000 2018
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    YouTube

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      [/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: Duration, ngAtlanta, views, Angular vs React.js, Smart Angular Elements[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

      [/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Outcome Based Business Models in the Internet of Things IoT with Accenture – YouTube[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”YouTube”][vc_column width=”1/2″][vc_separator][vc_column_text]

      Score: 2883.667109406006
      URL: https://www.youtube.com/watch?v=Wm-I5De1ePA
      Tweeted At: Sun Feb 11 08:46:08 +0000 2018
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      YouTube

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        [/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: Duration, ngAtlanta, views, Angular vs React.js, Smart Angular Elements[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

        [/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Build Your Own Personal Robot Assistant[/vc_column_text][/vc_column][/vc_row]