Issue #163
July 10, 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. AI Forecasting: One Year In [bounded-regret.ghost.io]
- 2. What is Machine Learning Anyway? [dockyard.com]
- 3. Historical weather for machine learning [openmeteo.substack.com]
- 4. On Turing machines [lawrencecpaulson.github.io]
- 5. How CUDA Programming Works [nvidia.com]
- 6. Advanced SQL Concepts You Should Know in 2022 [towardsdatascience.com]
- 7. AI-Powered Algorithmic Trading with Python [odsc.medium.com]
- • Central bank digital currencies risk becoming a digital Leviathan (A. Baronchelli, H. Halaburda, A. Teytelboym)
- • SoK: Blockchain Governance (A. Kiayias, P. Lazos)
- • A Majority-Vote Model On Multiplex Networks with Community Structure (K. Peng, M. A. Porter)
- • Semi-Supervised Hierarchical Graph Classification (J. Li, Y. Huang, H. Chang, Y. Rong)
- • Fast computation of rankings from pairwise comparisons (M. E. J. Newman)
- • Collective Memory in the Digital Age (T. Yasseri, P. Gildersleve, L. David)
- • Language statistics at different spatial, temporal, and grammatical scales (F. Sánchez-Puig, R. Lozano-Aranda, D. Pérez-Méndez, E. Colman, A. J. Morales-Guzmán, C. Pineda, C. Gershenson)
The Art of Code
All our videos are also available in our YouTube playlist.
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