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Newsletter #2
Top Links:
Random Forest vs Neural Network
[mljar.com]
Statistical Rethinking: A Bayesian Course Using R and Stan
[github.com/rmcelreath]
Reliability in Reinforcement Learning
[microsoft.com]
Introduction to Genetic Algorithms
[blog.floydhub.com]
Stanford engineers make editing video as easy as editing text
[news.stanford.edu]
How to Not Suck at Color
[modus.medium.com]
The Past & Future of Blockchain: Where we’re going and why
[medium.com/@Bitcom21]
Similarity of Documents with Random Walks
[towardsdatascience.com]
Microsoft deletes massive face recognition database
[bbc.co.uk]
Fresh off the press:
Shuffling Public Keys (A Peer-to-peer Voting Algorithm)
(S. J. Vives)
Survey of Behavior Learning Applications in Robotics
(A. Fabisch, C. Petzoldt, M. Otto, F. Kirchner)
A mathematical theory of semantic development in deep neural networks
(A. M. Saxe, J. L. McClelland, S. Ganguli)
Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
(S. Sengupta, S. Basak, P. Saikia, S. Paul, V. Tsalavoutis, F. Atiah, V. Ravi, A. Peters)
Visualizing and Measuring the Geometry of BERT
(A. Coenen, E. Reif, A. Yuan, B. Kim, A. Pearce, F. Viégas, M. Wattenberg)
Examining Structure of Word Embeddings with PCA
(T. Musil)
Upcoming Events:
Jun 19, 2019 -
ODSC NYC
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NLP From Scratch
[
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]
Jul 2, 2019 -
Deep Learning from Scratch
[
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Aug 5, 2019 -
Natural Language Processing (NLP) from Scratch
[Soon]
Sep 24, 2019 -
Strata
-
DL From Scratch
[
Register
]
A weekly newsletter with a quick overview of the world of Data, Science and Machine Learning.
Publishes on Sunday
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