D4S Sunday Briefing #93

Issue #93

March 7, 2021


Book of the Week
This weeks Data Science Book is " Data Science From Scratch " by J. Grus. In this book, Grus, a mathematician by training, guides you through the math, statistics, and ideas underlying the algorithms of modern Data Science while showing you how to implement them from scratch. As you work your way through the book you'll quickly become an expert in the finer points (and possible pitfalls) of each algorithm while at the same time significantly improving your Python proficiency.
Data Science From Scratch

Data Science From Scratch


Links of the Week
  1. 1. SEER: The start of a more powerful, flexible, and accessible era for computer vision [ai.facebook.com]
  2. 2. Synthetic Data: Generating realistic user timestamps in SQL [narrator.ai]
  3. 3. Graph-Based Data Science [derwen.ai]
  4. 4. Can Auditing Eliminate Bias fromAlgorithms? [themarkup.org]
  5. 5. The Illustrated Transformer [jalammar.github.io]
  6. 6. Understanding Convolutional Neural Networks for NLP [wildml.com]
  7. 7. An overview of gradient descent optimization algorithms [ruder.io]
  8. 8. Understand Logistic Regression [towardsdatascience.com]

Papers of the Week
Video of the Week

Theoretical Foundations of Graph Neural Networks

Theoretical Foundations of Graph Neural Networks

All our videos are also available in our YouTube playlist.


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