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ML Research Interview Handbook

Series

A 4-post series that covers the subject material in a good machine learning engineer interview.

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Under-Investigated Fields List (Version 1.0)

Progress Studies

Nominations for fields that are not being researched as much as they should be

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Avoiding Disaster in ML Projects

Project Management

A few high-level patterns to look out for in any projects you start or join

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Optimal Brain Damage

Machine Learning

Cutting away 80% of neurons in a neural network with no impact on accuracy

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My Experience with Forever Labs

Biotech

Banking my stem cells by removing bone marrow

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Private ML Marketplaces

Machine Learning

Fixing tradeoffs between various private ML strategies

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Lessons from becoming a Machine Learning Engineer in 12 months, without a CS or Math degree

Machine Learning

A Guide to starting from scratch, based on my own experiences (WARNING: LONG READ)

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