Issue #213
August 9, 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. Catching up on the weird world of LLMs [simonwillison.net]
- 2. Jupyter AI [jupyter-ai.readthedocs.io]
- 3. AI Won’t Replace Humans — But Humans With AI Will Replace Humans Without AI [hbr.org]
- 4. Cargo Cult AI [queue.acm.org]
- 5. A non-mathematical introduction to Kalman filters for programmers [praveshkoirala.com]
- 6. Graph Machine Learning @ ICML 2023 [towardsdatascience.com]
- 7. Chat with your data using OpenAI, Pinecone, Airbyte and Langchain [airbyte.com]
- • Intervening in networks to make minorities more visible (Z. Budrikis)
- • Ensemble inference of unobserved infections in networks using partial observations (R. Zhang, J. Tai, S. Pei)
- • Evolutionary dynamics on sequential temporal networks (A. Sheng, A. Li, L. Wang)
- • Modeling and analysis of affiliation networks with preferential attachment and subsumption (A. Nikolaev, S. Mneimneh)
- • The nature of hypergraph k-core percolation problems (G. Bianconi, S. N. Dorogovtsev)
- • Predicting Information Pathways Across Online Communities (Y. Jin, Y.-C. Lee, K. Sharma, M. Ye, K. Sikka, A. Divakaran, S. Kumar)
- • Anatomy of an AI-powered malicious social botnet (K.-C. Yang, F. Menczer)
The Impact of chatGPT
All our videos are also available in our YouTube playlist.
Enjoy the newsletter?
Forward it to a friend, or subscribe to get it straight to your inbox.
Subscribe Free