Issue #212
August 2, 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. How Renaissance beat the markets with Machine Learning [towardsdatascience.com]
- 2. Computer Scientists Discover Limits of Major Research Algorithm [quantamagazine.org]
- 3. BERT Research - Ep. 1 - Key Concepts & Sources [mccormickml.com]
- 4. Large language models, explained with a minimum of math and jargon [understandingai.org]
- 5. System Design for Recommendations and Search [eugeneyan.com]
- 6. LLMs Unleashed: The Power of Fine-Tuning [lucaspauker.com]
- 7. Patterns for Building LLM-based Systems & Products [eugeneyan.com]
- • Large language models encode clinical knowledge (K. Singhal, S. Azizi, T. Tu, S. S. Mahdavi, J. Wei, H. W. Chung, N. Scales, A. Tanwani, H. Cole-Lewis, S. Pfohl, P. Payne, M. Seneviratne, P. Gamble, C. Kelly, A. Babiker et al)
- • A Room-Temperature Superconductor? New Developments (D. Lowe)
- • Estimating the impact of COVID-19 vaccine inequities: a modeling study (N. Gozzi, M. Chinazzi, N. E. Dean, I. M. Longini Jr, M. E. Halloran, N. Perra, A. Vespignani)
- • Empowerment contributes to exploration behaviour in a creative video game (F. Brändle, L. J. Stocks, J. B. Tenenbaum, S. J. Gershman, E. Schulz)
- • Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models (B. Zhang, H. Yang, X.-Y. Liu)
- • Subnetwork enumeration algorithms for multilayer networks (T. Nurmi, M. Kivelä)
- • Exploring the Bitcoin Mesoscale (N. Vallarano, T. Squartini, C. J. Tessone)
Jupyter AI: Bringing Generative AI to Jupyter
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