Issue #160
June 19, 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. Introducing Network Effect #16: Hub-and-Spoke [nfx.com]
- 2. What Is Tokenomics? [blog.cryptostars.is]
- 3. What Should You Do With Your Options During a Downturn? [every.to]
- 4. Voronoi Diagrams on the GPU [rykap.com]
- 5. World’s Largest Computing Society Makes Thousands of Research Articles Freely Available; Opens First 50 Years Backfile [acm.org]
- 6. Your Guide To Researching Tokenomics [medium.com/the-capital]
- 7. Reproducible and Shareable Notebooks Across a Data Science Team [odsc.medium.com]
- • Characterization of interactions' persistence in time-varying networks (F. B. Mingueza, M. Floría, J. Gómez-Gardeñes, A. Arenas, A. Cardillo)
- • Simplicially driven simple contagion (M. Lucas, I. Iacopini, T. Robiglio, A. Barrat, G. Petri)
- • Disease spreading modeling and analysis: a survey (P. H. Guzzi, F. Petrizzelli, T. Mazza)
- • Data Source Concordance for Infectious Disease Epidemiology (M. Majumder, M. M. Cusick, S. Rose)
- • Cooperation among an anonymous group protected Bitcoin during failures of decentralization (A. Blackburn, C. Huber, Y. Eliaz, M. S. Shamim, D. Weisz, G. Seshadri, K. Kim, S. Hang, E. L. Aiden)
- • Emergent Abilities of Large Language Models (J. Wei, Y. Tay, R. Bommasani, C. Raffel, B. Zoph, S. Borgeaud, D. Yogatama, M. Bosma, D. Zhou, D. Metzler, E. H. Chi, T. Hashimoto, O. Vinyals, P. Liang, J. Dean, W. Fedus)
- • A potential mechanism for low tolerance feedback loops in social media flagging systems (C. J. Westermann, M. Coscia)
Visualizing Interactive Graph Networks in Python
All our videos are also available in our YouTube playlist.
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