Issue #24

November 10, 2019

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

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• • The Eighty Five Percent Rule for optimal learning (R. C. Wilson, A. Shenhav, M. Straccia, J. D. Cohen)
• • The Measure of Intelligence (F. Chollet)
• • Mapping the physics research space: a machine learning approach (M. Chinazzi, B. Gonçalves, Q. Zhang, A. Vespignani)
• • A deep learning framework for neuroscience (B. A. Richards, T. P. Lillicrap, K. P. Kording)
• • Clustering via hypergraph modularity (B. Kamiński,V. Poulin, P. Prałat ,P. Szufel, F. Théberge)
• • Review: Ordinary Differential Equations For Deep Learning (X. Chen)
• • On the Linguistic Representational Power of Neural Machine Translation Models (Y. Belinkov, N. Durrani, F. Dalvi, H. Sajjad, J. Glass)
• • The $25,000,000,000 Eigenvector: The Linear Algebra behind Google (K. Bryan, T. Leise)

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Greg Corrado - Applied Machine Learning at Google - The Frontiers of Machine Learning

All our videos are also available in our YouTube playlist.

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