Issue #66
August 30, 2020
- 1. Effective testing for machine learning systems [jeremyjordan.me]
- 2. Common Python Packaging Mistakes [jwodder.github.io]
- 3. Ergodicity economics: a primer [jasoncollins.blog]
- 4. Scraping News and Articles From Public APIs with Python [towardsdatascience.com]
- 5. Auditing Algorithms for Bias [hbr.org]
- 6. 5 Visualisations to Level Up Your Data Story [towardsdatascience.com]
- 7. An introduction to one-shot learning [thenextweb.com]
- 8. The Impossible Mathematics of the Real World [medium.com/nautilus-magazine]
- 9. Python Hash Tables: Understanding Dictionaries [thepythoncorner.com]
- 10. My AI Timelines Have Sped Up [alexirpan.com]
- • 1.2 - Simpson's Paradox
- • 1.3 - Probability Theory and Statistics
- • 1.4 - Graphs
- • 1.5 - Structural Causal Models
- • 2.2 - Chains and Forks
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