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My Reading List

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Recommended Books

Book Cover

Probabilistic Machine Learning: An Introduction

Kevin P. Murphy

I cannot recommend this book enough. I will warn new readers that it is VERY heavy in statistics and mathematics. If you are just starting out, this might be a good book later down the line.

Recommended Papers

DNABERT

DNABERT

Yanrong Ji, Zhihan Zhou, Han Liu, Ramana V Davuluri.

Published in 2021, this is the first foundational model train on DNA sequences. DNABERT is a 110-million parameter model trained on DNA k-mers.

Multi-level_learning

Toward a Theory of Evolution as Multilevel Learning

Vanchurin V, Wolf YI, Katsnelson MI, Koonin EV.