Blogs and more

Articles, blog posts, podcasts and data sources. For books, see our reading recommendations.

Roger Peng on data science principles
McKinsey’s non-technical discussion of machine learning
Mike Yeomans in Harvard Business Review, an older but good piece What every managers should know about ML
How Uber uses ML/AI in high level piece – Uber on Medium post by Jamal Robinson
David Donoho 50 years of data science
Susan Athey in Science (2017) Beyond prediction: Using big data for policy problems
American statistical organization on research and the p-value. Statistical Significance and the Dichotomization of Evidence
Time series forecasting competition materials M4 competition on GitHub

Roger Peng on good data science
NYT Upshot on Polling errors
538 on nutrition. You can’t trust what you read about nutrition (archived copy, 538 has closed)
Nick Barrowman on why data is not independent from judgement Why Data is never raw

http://nssdeviations.com/ - The Data Science Podcast Roger Peng and Hilary Parker talk about the latest in data science and data analysis in academia and industry. [recommended]
https://simplystatistics.org/ - A statistics blog by Rafa Irizarry, Roger Peng, and Jeff Leek
http://andrewgelman.com/ - Statistical Modeling, Causal Inference, and Social Science

Nice collection of data collections - https://www.columnfivemedia.com/100-best-free-data-sources-infographic
Weekly newsletter - data-is-plural.com
Nice educational collection of coding http://Idre.ucla.edu
Very nice initiative for collaborative data projects. Include many datasets with info. https://data.world/
This is a collection of ML/AI papes with code. Mostly very technical - Papers with Code has closed and now points to Hugging Face Papers
Amazing collection by Hadley Wickham - DS Stats337
U Washington Data Lab - Intetrviews on business data viz Enterprise-analysis-interviews