books-and-resources
Books and Resources
Go
An Introduction to Programming in Go Go Concurrency from the Ground Up
Data Pipelines
Data Pipelines with Apache Airflow
Microservices
Machine Learning
An Introduction to Statistical Learning The Elements of Statistical Learning Machine Learning Glossary Google Machine Learning Crash Course scikit-learn Documentation Python Data Science Handbook Deep Learning: A Practitioner's Approach Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists Interpretable Machine Learning Deep Learning with Python Annotated Bibliography of ML and Statistics Techniques Deep Learning Anomaly Detection Resources Semi-Supervised Learning Interpretable Machine Learning
MLOps
Statistics / Probability / Quantitative Methods
Hypothesis Testing Misinterpretation (paper) Quantitative Economics with Python Think Bayes Information Theory, Inference, and Learning Algorithms Probability Distribution Explorer
Figures
Elegant Figures (NASA) Diverging Color Maps for Scientific Visualization (paper)
Programming
Python Testing with pytest Practices of the Python Pro Google Python Style Guide Intermediate Python Tips
Git
Git from the Bottom Up Git Flow
Blogs and Websites
DeepMind Google AI Blog Harvard Data Science Review Distill Airbnb Engineering & Data Science Carnegie Mellon University Machine Learning Blog Netflix TechBlog No Free Hunch (Kaggle) OpenAI Pythonic Perambulations ShortScience.org The Unofficial Google Data Science Blog Uber Engineering Blog Locally Optimistic Multithreaded -- Stitch Fix Data Science Blog
Computer Science / Software Done Well
connascence.io Coupling, Cohesion & Connascence Mathematics for Computer Science Destroy All Software Screencasts Big O Cheat Sheet Data Structures & Algorithms (Google) VisuAlgo - Visualization of Algorithms
UX
Recommendation Systems
Microsoft's Recommendation Systems Best Practices
Web
HTTP Mozilla Web Docs: HTTP Web Development (Client, Server) Tutorials