Issue #243

May 1, 2024

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Dear Reader,

Welcome to the May Day edition of the Data Science Briefing!

The latest medium post on the Epidemiology series: Epidemiology 303: Metapopulation models, where we explore how to connect multiple populations through a travel matrix is now out. You can catch up on the latest in the Graphs for Data Science substack: k-core Decomposition, or in the Viz4Sci series, The Effects of Vaccination.

In our regularly scheduled content, we learn how to load a trillion rows of weather data into TimescaleDB, how AI is Revolutionizing Cardiovascular Risk Assessments, and explore the Economics of Generative AI.

On the academic front, we learn about Stability in social networks, Edge Importance in Complex Networks, and Epidemic criticality in temporal networks.

This week's book recommendation is "Natural Language Processing with Transformers" by L. Tunstall, L. von Werra, and T. Wolf. You can find all the previous book recommendations on our website. In this week's video, we have a tutorial to help you Learn RAG From Scratch.

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Semper discentes,

The D4S Team

This week's book is "Natural Language Processing with Transformers" by L. Tunstall, L von Werra and T. Wolf. As an avid natural language processing enthusiast (NLP), I recently delved into "Natural Language Processing with Transformers" with great anticipation. Authored by experts in the field, this book not only met but exceeded my expectations, offering a comprehensive exploration of the groundbreaking advancements in NLP powered by transformers.

From the outset, the book strikes an excellent balance between theoretical underpinnings and practical applications. Including code snippets and implementation tips further enhances the learning experience, allowing readers to gain proficiency in applying these powerful techniques to real-world problems.

In conclusion, "Natural Language Processing with Transformers" is a must-read for anyone interested in unlocking the full potential of modern NLP techniques. Whether you're a researcher, a student, or a practitioner seeking to stay ahead of the curve, this book offers a treasure trove of knowledge and practical wisdom. Engaging, informative, and inspiring, it is sure to leave a lasting impact on anyone passionate about the intersection of language and technology.

1. ​Loading a trillion rows of weather data into TimescaleDB [aliramadhan.me]
2. ​AI is Revolutionizing Cardiovascular Risk Assessments [opendatascience.com]
3. ​Building a Math Application with LangChain Agents​ [towardsdatascience.com]
4. ​The Economics of Generative AI​ [apoorv03.com]
5. ​PySheets - ​​The Spreadsheet UI for Python [pysheets.app]
6. ​Introducing GraphRAG with LangChain and Neo4j​ [valentinaalto.medium.com]
7. ​A/B Testing at Scale [rahulsuresh.net]

• ​Estimates of the reproduction ratio from epidemic surveillance may be biased in spatially structured populations (P. Birello, M. R. Fiorentin, B. Wang, V. Colizza, E. Valdano)
• ​Stability in social networks​ (S. Acharjee, A. Oza)
• ​Epidemic criticality in temporal networks​ (C.-R. Cai, Y.-Y. Nie, P. Holme)
• ​Human behavior-driven epidemic surveillance in urban landscapes​ (P. Valgañón, A. F. Useche, F. Montes, A. Arenas, D. Soriano-Paños, J. Gómez-Gardeñes)
• ​Edge Importance in Complex Networks​ (S. Noschese, L. Reichel)
• ​Survey on Embedding Models for Knowledge Graph and its Applications​ (M. Pote)
• ​A Survey of Transformers​ (T. Lin, Y. Wang, X. Liu, X. Qiu)

Learn RAG From Scratch

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All the videos of the week are now available in our Youtube playlist.