Computational Methods Books - A Personal Collection
Published:
A personal collection of computational methods books (online only):
Casual Inference
- The Effect: An Introduction to Research Design and Causality by Nick Huntington-Klein
- Causal Inference for The Brave and True by Matheus Facure Alves
- Causal ML’s documentation by Uber Technologies, Inc.
- EconML User Guide by Microsoft Research
Data Science
- Big Data and Social Science: Data Science Methods and Tools for Research and Practice by Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, and Julia Lane
- Python Data Science Handbook by Jake VanderPlas
- Data Visualization: A practical introduction by Kieran Healy
Machine Learning
- Interpretable Machine Learning by Christoph Molnar
- Deep Learning by Subir Varma and Sanjiv Das
Bayesian Statistics
- Bayes Rules! An Introduction to Applied Bayesian Modeling by Alicia A. Johnson, Miles Q. Ott, and Mine Dogucu
- Doing Bayesian Data Analysis in brms and the tidyverse by A Solomon Kurz
- Easy Bayes with rstanarm and brms by Michael Clark