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Writing Robust Tests for Data & Machine Learning Pipelines

Simplicity is An Advantage but Sadly Complexity Sells Better

How to design a referral program at andrewchen

Personal updates: Moving to LA, a new role at a16z, and more! at andrewchen

Uncommon Uses of Python in Commonly Used Libraries

How to reinvent your product growth strategy for the tech downturn at andrewchen

Why You Should Write Weekly 15-5s

Design Patterns in Machine Learning Code and Systems

What I Wish I Knew About Onboarding Effectively

Bandits for Recommender Systems

How to Measure and Mitigate Position Bias

Counterfactual Evaluation for Recommendation Systems

Юджин Ян объясняет, почему стандартная оффлайн-оценка рекомендательных систем некорректна: мы используем наблюдательный подход, тогда как рекомендации — это интервенционная задача, ведь показанные тов

Traversing High-Level Intent and Low-Level Requirements

Deep Neural Nets: 33 years ago and 33 years from now

Data Science Project Quick-Start

Mailbag: How to Define a Data Team's Vision and Roadmap

Red Flags to Look Out for When Joining a Data Team

How to Keep Learning about Machine Learning

The Data Scientist Show - Building end-to-end ML systems

Solve a Hard Problem (Tinder). Chapter 8 of my upcoming book, The Cold Start Problem at andrewchen

I’m on the Tim Ferriss podcast — talking my new book, growth hacking, metaverse, creator economy, and more at andrewchen

2021 Year in Review

Informal Mentors Grew into ApplyingML.com!

Previewing a full chapter of The Cold Start Problem — my upcoming book dropping in December at andrewchen