Issue #162

July 4, 2022

This weeks Data Science Book is " Analytical Skills for AI & Data Science " by D. Vaughan. This is an unusual book that takes a holistic approach to AI and Data Science from a Business perspective. Aimed at managers with limited Data Science experience, this book uses increasingly complex practical examples to introduce a wide range of concepts and analytical techniques. Even if you have no direct interest in AI and Data Science, this book will give you enough background knowledge to be able to successfully manage Data Scientists, break down complex problems into individual components and help guide your team towards the right solution to your business problems.

Analytical Skills for AI & Data Science

1. Just say no (to content): Nietzsche’s surprising “information diet” [arstechnica.com]
2. Graph Machine Learning at Airbnb [medium.com/airbnb-engineering]
3. Can Computers Be Mathematicians? [quantamagazine.org]
4. An Engineer’s Best Tips for Writing Documentation Devs Love [thenewstack.io]
5. Visualizing Algorithms [bost.ocks.org]
6. The Feynman Technique 2.0: How to Take Your Learning to the Next Level [themindcollection.com]
7. The dark side of Graph Neural Networks [appliedexploration.com]

• Network resilience (X. Liu, D. Li M. Ma, B. K. Szymanski, H. E. Stanley, J. Gao)
• Event-level prediction of urban crime reveals a signature of enforcement bias in US cities (V. Rotaru, Y. Huang, T. Li, J. Evans, I. Chattopadhyay)
• A Weighted Symmetric Graph Embedding Approach for Link Prediction in Undirected Graphs (Z. Wang, Y. Chai, C. Sun, X. Rui, H. Mi, X. Zhang, P. S. Yu)
• Eigenvalue ratio statistics of complex networks: Disorder versus randomness (A. Mishra, T. Raghav, S. Jalan)
• Community Detection in the Heterogeneous Stochastic Block Model (D. Saulpic, F. Mallmann-Trenn, V. P. Cohen-addad)
• Pen and Paper Exercises in Machine Learning (M. U. Gutmann)
• Modeling Teams Performance Using Deep Representational Learning on Graphs (F. Carli, P. Foini, N. Gozzi, N. Perra, R. Schifanella)
• Inferring Tie Strength in Temporal Networks (L. Oettershagen, A. L. Konstantinidis, G. F. Italiano)

Introduction to GIS Analysis with GeoPandas using Python

July 4, 2022

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