— Insight —
What will data science be in 10 or 50 years?
Advanced analytics is transforming the HR landscape. Interviews with leading people analytics teams reveal how.
— Tools and Techniques —
A/B tests are not the only tool to understand causality: quasi-experiments and counterfactuals are powerful tools for causal inference if used right.
Facebook joins LinkedIn, Airbnb, Lyft, Netflix, and Uber in developing its own data discovery platform. This post walks-through Facebook's specific needs and the thinking behind its solution.
Nice interactive tutorial that goes beyond the basics and makes it easy to understand how to work with Git.
This Jupyter-based tutorial is a thorough introduction to musical source separation using open-source tools and data.
This free course will follow the development and deployment of a live ML service for the Made with ML website. For data scientists, software engineers and product managers.
— Resources —
Bayesian statistics?! Once an obscure term outside specialized industry and research circles, Bayesian methods are enjoying a renaissance. This book isn't complete yet but the five chapters that are presented here provide a practical and gentle introduction to Bayesian Modeling.
— Data Viz —
Bar chart races get criticized as a visualization technique but in this case, it's super effective. Between U.S. Democrats and Republicans, which COVID strategies are faring better? Grab the slider at the bottom to speed through time. And then if you're in the U.S., vote!
— Career —
This post is gold for helping you think strategically about your next career move. Don't just trade one set of problems for another. The framework outlined here will help you level-up and maximize your opportunities for impact and earnings.