Issue #220
October 19, 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 a SQL enthusiast, this book will help you take your skills to the next level and transform data into actionable insights.
- 1. AB Testing 101 [medium.com/jonathans-musings]
- 2. Diagrams for 10 common concepts of Data Science [towardsdev.com]
- 3. Financial LLMs: FinGPT & BloombergGPT [medium.com/@ashkangolgoon]
- 4. GPT-4 Advanced Data Analysis: A Beginner’s Guide to Charts and Maps [pub.towardsai.net]
- 5. Multimodality and Large Multimodal Models (LMMs) [huyenchip.com]
- 6. Machine Learning for Fraud Detection in Streaming Services [netflixtechblog.com]
- 7. Why AutoGPT engineers ditched vector databases [dariuszsemba.com]
- • Financial Machine Learning (B. T. Kelly, D. Xiu)
- • Causal Factor Investing (M. M. López de Prado)
- • What to predict from Twitter Data? (M. Salemdeeb, S. Sahmoud)
- • Weak link prediction based on hyper latent distance in complex network (M.-Y. Zhou, F. Wang, Z. Chen, J. Wu, G. Liu, H. Liao)
- • Robustness and complexity of directed and weighted metabolic hypergraphs (P. Traversa, G. F. de Arruda, A. Vazquez, Y. Moreno)
- • Text Embeddings Reveal (Almost) As Much As Text (J. X. Morris, V. Kuleshov, V. Shmatikov, A. M. Rush)
- • On the Actionability of Outcome Prediction (L. T. Liu, S. Barocas, J. Kleinberg, K. Levy)
Factor Analysis and Probabilistic PCA
All our videos are also available in our YouTube playlist.
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