The Data Scientist's Diary -- daliana liu
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The real difference between academia vs industry (by an ex-Uber researcher)
Hello friends,
Oct 23, 2023
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Daliana Liu
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The real difference between academia vs industry (by an ex-Uber researcher)
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"Internal" teams VS "External" teams for data scientists (a deep dive)
Which one works for you?
Oct 13, 2023
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Daliana Liu
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"Internal" teams VS "External" teams for data scientists (a deep dive)
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I started an internal newsletter at Amazon for 1,000+ employees(as a data scientist)
Why data scientists should write more
Oct 4, 2023
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Daliana Liu
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I started an internal newsletter at Amazon for 1,000+ employees(as a data scientist)
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September 2023
Is product data scientist a glorified data analyst role?
Let's demystify the product data scientist role (and interview process breakdown)
Sep 24, 2023
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Daliana Liu
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Is product data scientist a glorified data analyst role?
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Data Scientists in FAANG vs. Wall Street
Three things I didn't know until I visited New York
Sep 12, 2023
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Daliana Liu
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Data Scientists in FAANG vs. Wall Street
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August 2023
Three ridiculous biases in A/B testing
Lessons learned from analyzing 100+ A/B tests in Amazon
Aug 29, 2023
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Daliana Liu
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Three ridiculous biases in A/B testing
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Behind the scenes of my first computer vision project (as a first-time team lead)
3 lessons I learned that you can apply to your ML projects
Aug 7, 2023
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Daliana Liu
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Behind the scenes of my first computer vision project (as a first-time team lead)
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February 2023
You won't be a great data scientist... until you do these 3 things
Things you should do before, during, and after a project -- recommendations from a data scientist with over 7 years experience at Amazon...
Feb 19, 2023
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Daliana Liu
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You won't be a great data scientist... until you do these 3 things
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