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Issue #24

Nov 10, 2019
Dear friends,

Welcome to the November 10 edition of the Sunday Briefing. This week we dive into deep learning with the latest successes in reinforcement learning by the Deep Mind team, a deep learning framework for neuroscience and two interesting discussions on query and financial data embeddings. We also look at how to measure intelligence thanks to an in depth article by François Chollet, the creator of Keras.

Finally, in the video of the week, Greg Corrado talks to us about Applied Machine Learning at Google.

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Semper discentes,

The D4S team

Top Links:

Tutorials and blog posts that came across our desk this week.
  1. AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning [deepmind.com]
  2. The F-Test for Regression Analysis [towardsdatascience.com]
  3. Python Datetime Tutorial: Manipulate Times, Dates, and Time Spans [dataquest.io]
  4. Query2vec: Search query expansion with query embeddings [bytes.grubhub.com]
  5. The Myth and Magic of Generating New Ideas [newyorker.com]
  6. Learning Embeddings of Financial Graphs [capitalone.com]
  7. We’re Building a New Central Resource for Public Data [source.opennews.org]
  8. Introduction to Adversarial Machine Learning [blog.floydhub.com]

Fresh off the press:

Some of the most interesting academic papers published recently.

Video of the week:

Interesting discussions, ideas or tutorials that came across our desk.
 

Applied Machine Learning at Google
https://www.youtube.com/watch?v=N-c9vXHMjXc

Upcoming Events:

Opportunities to learn from us
  1. Nov 11, 2019 - Natural Language Processing (NLP) from Scratch [Register] 
  2. Nov 18, 2019 - Graphs and Network Algorithms from Scratch [Register] 
  3. Dec 04, 2019 - Data Visualization with matplotlib and seaborn [Register] 🆕
  4. Dec 11, 2019 - Deep Learning From Scratch [Register] 🆕
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