Issue #211
July 26, 2023
This week’s Data Science Book, "Learning Git", by Anna Skoulikari. This is a remarkable book that caters to both technical and non-technical individuals seeking to master Git. The book's rainbow project approach offers an effective and enjoyable way to understand the inner workings of Git, covering all the basics needed for practical use in an industry setting. From setting up local repositories to managing remote ones, the book excels in simplifying complex concepts with colorful diagrams and highlighted keywords. Highly recommended for anyone looking to grasp Git's fundamentals and achieve confident control over version control in their work.
- 1. Statistical arbitrage - An Easy Walkthrough [dm13450.github.io]
- 2. Retrieval-based Language Models and Applications [acl2023-retrieval-lm.github.io]
- 3. Decoding the ACL Paper: Gzip and KNN Rival BERT in Text Classification [codeconfessions.substack.com]
- 4. The man who won the lottery 14 times [thehustle.co]
- 5. Causal Inference for The Brave and True [matheusfacure.github.io]
- 6. Why people struggle to understand climate risk [economist.com]
- 7. Understanding Large Language Models: The Physics of (Chat)GPT and BERT [towardsdatascience.com]
- • “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors (Z. Jiang, M. Yang, M. Tsirlin, R. Tang, Y. Dai, J. Lin)
- • Llama 2: Open Foundation and Fine-Tuned Chat Models (H. Touvron, L. Martin, K. Stone, P. Albert, A. Almahairi et al)
- • Ten simple rules for scientists engaging in science communication (B. G. Borowiec)
- • AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap (Q. V. Liao, J. W. Vaughan)
- • A Theory on Adam Instability in Large-Scale Machine Learning (I. Molybog, P. Albert, M. Chen, Z. DeVito, D. Esiobu, N. Goyal, P. S. Koura, S. Narang, A. Poulton, R. Silva, B. Tang, D. Liskovich, P. Xu, Y. Zhang, M. Kambadur, S. Roller, S. Zhang)
- • How is ChatGPT's behavior changing over time? (L. Chen, M. Zaharia, J. Zou)
- • Multimodal Deep Learning (C. Akkus, L. Chu, V. Djakovic, S. Jauch-Walser, P. Koch, G. Loss, C. Marquardt, M. Moldovan, N. Sauter, M. Schneider, R. Schulte, K. Urbanczyk, J. Goschenhofer, C. Heumann, R. Hvingelby, D. Schalk, M. Aßenmacher)
Python Website Full Tutorial - Flask, Authentication, Databases & More
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