Issue #161
June 26, 2022
This weeks Data Science Book is " Analytical Skills for AI & Data Science " by D. Vaughan. This is an unusual book that takes a holistic approach to AI and Data Science from a Business perspective. Aimed at managers with limited Data Science experience, this book uses increasingly complex practical examples to introduce a wide range of concepts and analytical techniques. Even if you have no direct interest in AI and Data Science, this book will give you enough background knowledge to be able to successfully manage Data Scientists, break down complex problems into individual components and help guide your team towards the right solution to your business problems.
- 1. LaMDA’s Sentience is Nonsense - Here’s Why [lastweekin.ai]
- 2. Entropy: Why Life Always Seems to Get More Complicated [https://jamesclear.com]
- 3. Researchers Can Duplicate Keys from the Sounds They Make in Locks [kottke.org]
- 4. YaLM 100B parameter language model [github.com/yandex]
- 5. Introducing PyScript [lwn.net]
- 6. Dolt is Git for Data! [github.com/dolthub]
- 7. The Internet Origin Story You Know Is Wrong [wired.com]
- 8. A Data-Centric Introduction to Computing [dcic-world.org]
- 9. Where are all the crypto use cases? [evanjconrad.com]
- 10. Does one simple rule underlie learning in the brain? [actu.epfl.ch]
- • Eigenvalue ratio statistics of complex networks: Disorder versus randomness (A. Mishra, T. Raghav, S. Jalan)
- • Bayesian Workflow (A. Gelman, A. Vehtari, D. Simpson, C. C. Margossian, B. Carpenter, Y. Yao, L. Kennedy, J. Gabry, P.-C. Bürkner, M. Modrák)
- • A Hybrid Adjacency and Time-Based Data Structure for Analysis of Temporal Networks (T. Hilsabeck, M. Arastuie, K. S. Xu)
- • Diffusion approximation of a network model of meme popularity (K. A. Oliveira, S. Unicomb, J. P. Gleeson)
- • A Bounded-Confidence Model of Opinion Dynamics with Heterogeneous Node-Activity Levels (G. J. Li, M. A. Porter)
- • LinkBERT: Language Model Pretraining with Document Link Knowledge (M. Yasunaga, J. Leskovec, P. Liang)
- • Intervention strategies for epidemic spreading on bipartite metapopulation networks (B. Wang, L. Yang, Y. Han)
- • Link Prediction on Complex Networks: An Experimental Survey (H. Wu, C. Song, Y. Ge, T. Ge)
Bayesian Statistics
All our videos are also available in our YouTube playlist.
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