Issue #159

June 12, 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.

Analytical Skills for AI & Data Science

1. Signatures: The foundations of modern end-to-end encryption [kerkour.com]
2. DoWhy evolves to independent PyWhy model to help causal inference grow [microsoft.com]
3. The Philosophy of Linear Algebra [sigfyg.medium.com]
4. From Python to Numpy [labri.fr]
5. Researchers Achieve ‘Absurdly Fast’ Algorithm for Network Flow [quantamagazine.org]
6. Techniques for Training Large Neural Networks [openai.com]
7. Differentiable Finite State Machines [google-research.github.io]

• Flat teams drive scientific innovation (F. Xu, L. Wu, J. Evans)
• Nonparametric Power-Law Surrogates (J. M. Moore, G. Yan, E. G. Altmann)
• Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps (D. George, R. V. Rikhye, N. Gothoskar, J. S. Guntupalli, A. Dedieu, M. Lázaro-Gredilla)
• Non-stationary A/B tests (Y. Wu, Z. Zheng, G. Zhang, Z. Zhang, C. Wang)
• 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)
• A Survey on the Fairness of Recommender Systems (Y. Wang, W. Ma, M. Zhang, Y. Liu, S. Ma)
• Deep Learning Opacity in Scientific Discovery (E. Duede)
• Socioeconomic biases in urban mixing patterns of US metropolitan areas (R. M. Hilman, G. Iñiguez, M. Karsai)

Airflow DAG: Coding your first DAG for Beginners

June 12, 2022

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