Issue #96

March 28, 2021

This weeks Data Science Book is " Flask Web Development " by M. Grinberg. One of the often overlooked skills in Data Science is the ability to quickly generate APIs, dashboards and proof of concepts for machine learning model deployment. Flask is a Python-based micro-framework with a straightforward and concise approach that makes it extremely easy to go from idea to working product. This book is designed to take you from being someone who never wrote web code to developing a fully fledged web application. It also some with an up to date repo of code examples to make sure you learn the current best practices.

Flask Web Development

1. SQLite is not a toy database [antonz.org]
2. Excel Never Dies [notboring.co]
3. A New Lens on Understanding Generalization in Deep Learning [ai.googleblog.com]
4. A Brief History of the Hedge Fund [newyorker.com]
5. The Algorithms That Make Instacart Roll [spectrum.ieee.org]
6. Why Probability Theory is Hard [www.cantorsparadise.com]
7. The (Im)possibility of Fairness: Different Value Systems Require Different Mechanisms For Fair Decision Making [cacm.acm.org]
8. AI names colors much as humans do [ai.facebook.com]

• Social media polarization and echo chambers: A case study of COVID-19 (J. Jiang, X. Ren, E. Ferrara)
• A Survey of Methods for Time Series Change Point Detection (S. Aminikhanghahi, D. J. Cook)
• Building Probabilistic Causal Models using Collective Intelligence (O. Laudy, A. Denev, A. Ginsberg)
• A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results (B. Coker, C. Rudin, G. King)
• Stochastic theory of two-species cooperation (J. Piñero, S. Redner, R. Solé)
• Fairness in Ranking: A Survey (M. Zehlike, K. Yang, J. Stoyanovich)
• The emerging plasticity of SARS-CoV-2 (K. D. McCormick, J. L. Jacobs, J. W. Mellors)
• On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? (E. M. Bender, T. Gebru, A. McMillan-Major, S. Shmitchell)

Graph Representation Learning

March 28, 2021

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