favorites
A non-exhaustive, non-exclusive, and not-necessarily endorsing list of some of my favorite things
Books
Range: Why Generalists Triumph in a Specialized World by David Epstein
No Starch Press A big fan of their style teaching code and machine learning concepts in a conversational, experiential manner.
Text-Books
Data Science
Chip Huyen - Great insights to ML at scale, online/evolving data and production
Rajistics - Some good videos about data science / ML and practical examples. I like that he highlights how to practice skills and shares stories from his experience.
Sports
bsctoys College football statistics and analysis done by Brian Fremeau
cfbtxt College football stats and vizualizations in a nice, machine-readable format for use in modeling. Done by dadgumboxscores
Data
Gridstatus.io Power markets database of public info that was hard to get in a single location until they came along. Good blog articles too.
Vizualization
Machine Learning University (MLU) educational blog by Amazon with some nice visuals and explainers on simple ML concepts.
General Programming
Dave Eddy - You Suck at Programming - Humorous series on bash scripting