Issue #2

June 9, 2019

---

1. 1. Random Forest vs Neural Network [mljar.com]
2. 2. Statistical Rethinking: A Bayesian Course Using R and Stan [github.com/rmcelreath]
3. 3. Reliability in Reinforcement Learning [microsoft.com]
4. 4. Introduction to Genetic Algorithms [blog.floydhub.com]
5. 5. Stanford engineers make editing video as easy as editing text [news.stanford.edu]
6. 6. How to Not Suck at Color [modus.medium.com]
7. 7. The Past & Future of Blockchain: Where we're going and why [medium.com/@Bitcom21]
8. 8. Similarity of Documents with Random Walks [towardsdatascience.com]
9. 9. Microsoft deletes massive face recognition database [bbc.co.uk]

---

• • 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)

---