Issue #223
November 10, 2023
This week’s Data Science Book, "SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights" by Cathy Tanimura. This book is a must-have resource for anyone serious about data analysis and SQL. It equips you with the tools and knowledge to tackle complex data analysis tasks with confidence. With its clear explanations, real-world examples, and comprehensive coverage of advanced topics, this book will undoubtedly become an invaluable asset in your data analysis journey. Whether you're a data analyst, data scientist, or SQL enthusiast, this book will help you take your skills to the next level and transform data into actionable insights.
- 1. Why Does Climate Change? [cantorsparadise.com]
- 2. Alternative Visualizations for Data-Driven Storytelling [towardsdatascience.com]
- 3. Introduction to DataGPT [medium.com/codex]
- 4. Crypto Entrepreneurs Are Pivoting to AI. Here’s One Founder’s Experience. [wsj.com]
- 5. Streaming SQL in Data Mesh [netflixtechblog.com]
- 6. Causal ML for Decision Making [medium.com/@ryutayoshimatsu]
- 7. Introducing GPTs [openai.com]
- • Characterizing the role of human behavior in the effectiveness of contact-tracing applications (A. Fosch, A. Aleta, Y. Moreno)
- • An Empirical Evaluation of Algorithms for Link Prediction (T. Huang, L. Zhou, K. Lü, L. Wang, H. Chen, G. Du)
- • The nature and nurture of network evolution (B. Zhou, P. Holme, Z. Gong, C. Zhan, Y. Huang, X. Lu, X. Meng)
- • A data-driven semi-parametric model of SARS-CoV-2 transmission in the United States (J. M. Drake, A. Handel, É. Marty, E. B. O’Dea, T. O’Sullivan, G. Righi, A. T. Tredennick)
- • Flow of temporal network properties under local aggregation and time shuffling: a tool for characterizing, comparing and classifying temporal networks (D. Le Bail, M. Génois, A. Barrat)
- • Community Detection with the Map Equation and Infomap: Theory and Applications (J. Smiljanić, C. Blöcker, A. Holmgren, D. Edler, M. Neuman, M. Rosvall)
- • The Linear Representation Hypothesis and the Geometry of Large Language Models (K. Park, Y. J. Choe, V. Veitch)
Stochastic Volatility Models used in Quantitative Finance
All our videos are also available in our YouTube playlist.
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