Issue #90
February 14, 2021
This weeks Data Science Book is " Think Stats " by Allen B. Downey. Despite the natural trend to be star struck with latest models and algorithms, the truth is that most of the work of a Data Scientists is must more basic and fundamental. Having a solid basis in traditional statistics is paramount to a successful data science career. Think Stats takes an empirical approach that helps you completely and truly grok the concepts as they are being introduced. Using Python examples and detailed explanations Downey guides the reader through important conceptual tools like Probability Distributions, Hypothesis Testing, Regression and Survival Analysis that should be part of every practitioners toolkit,
- 1. Decades-Old Computer Science Conjecture Solved in Two Pages [quantamagazine.org]
- 2. How to Speed up Scikit-Learn Model Training [medium.com/distributed-computing-with-ray]
- 3. Torching the Modern-Day Library of Alexandria [theatlantic.com]
- 4. Knowledge Graph: The Perfect Complement to Machine Learning [towardsdatascience.com]
- 5. How to solve the Secret Santa Problem using graph theory [medium.com/pragmatic-computer-science]
- 6. How Lyft discovered OpenStreetMap is the Freshest Map for Rideshare [eng.lyft.com]
- 7. Web Scraping 101 with Python [scrapingbee.com]
- 8. Pattern matching accepted for Python [lwn.net]
- 9. Python cryptography, Rust, and Gentoo [lwn.net]
- 10. Mastercard to open up network to select cryptocurrencies [reuters.com]
- • Forecasting influenza activity using machine-learned mobility map (S. Venkatramanan, A. Sadilek, A. Fadikar, C. L. Barrett, M. Biggerstaff, J. Chen, X. Dotiwalla, P. Eastham, B. Gipson, D. Higdon, O. Kucuktunc, A. Lieber, B. L. Lewis, Z. Reynolds, A. K. Vullikanti, L. Wang, M. Marathe)
- • Superspreading genomes (S. Alizon)
- • Tracing contacts, finding ourselves (N. Naseer, K. Strelau)
- • Social contagion in a world with asymmetric influence (G. S. Halvorsen, B. N. Pedersen, K. Sneppen)
- • Understanding collective human movement dynamics during large-scale events using big geosocial data analytics (J. Fan, K. Stewart)
- • A survey on modelling of infectious disease spread and control on social contact networks (M. Shahzamal, S. Khan)
Detecting Communities as Clusters
All our videos are also available in our YouTube playlist.
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