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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

The Pros and Cons of Working Directly for the CEO

5 Lessons I Learned from Writing Online (Guest post by Susan Shu)

Гостевой пост Susan Shu на блоге Eugene Yan: пять уроков, которые она вынесла из ведения блога. Susan рассказывает, как привычка писать первые черновики без редактирования резко ускорила её работу, и

Why the best way to drive viral growth to increase retention and engagement at andrewchen

What to look for when you’re hiring a Head of Growth at andrewchen

What I Learned from Writing Online - For Fellow Non-Writers

RecSys 2021 - Papers and Talks to Chew on

The First Rule of Machine Learning: Start without Machine Learning

MLOps Community - System Design for RecSys & Search

Reinforcement Learning for Recommendations and Search

Why premature scaling fails: The Traction Treadmill at andrewchen

My first book, The Cold Start Problem. Plus Clubhouse, and more. It’s 2021, and I’m back! at andrewchen

What today’s social apps can learn from Web 2.0, the social network revolution from 15 years ago at andrewchen

The next generation of the SF and LA tech ecosystem at andrewchen

Amazon Science - Eugene Yan and the Art of Writing about Science

Bootstrapping Labels via ___ Supervision & Human-In-The-Loop