Charles Yang: Machine Learning for Scientific Research

https://charlesxjyang.github.io/ (Charles Yang) is an EECS masters student at UC Berkeley focusing on AI and dynamical systems. He writes the excellent https://ml4sci.substack.com/ (Machine Learning For Science newsletter) where he showcases a wide r...

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Sep 15, 2020
swyx (Shawn Wang): Coding Career Strategy

Shawn Wang formerly worked in finance as a derivatives trader and equity analyst before burning out and pivoting towards tech. He's a prolific blogger who goes under the pseudonym "swyx" and recently published the excellent https://www.learninpublic....

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Sep 08, 2020
Solocast: Learning Machine Learning

Want to level-up your skills in machine learning and software engineering? Subscribe to our newsletter: https://mlengineered.ck.page/943aa3fd46 (https://mlengineered.ck.page/943aa3fd46) Take the Giving What We Can Pledge: https://www.givingwhatwecan....

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Sep 01, 2020
Karthik Suresh: Advice for Computer Science Students

Karthik Suresh works as a software engineer at Blend, the leading digital lending platform. He previously worked at Coursera, Biomedtrics, and KloudData. Learn more about Karthik: http://karthiksuresh.me/ (http://karthiksuresh.me/) Want to level-up y...

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Sep 01, 2020
Introducing Machine Learning Engineered

Want to level-up your skills in machine learning and software engineering? Subscribe to our newsletter: https://mlengineered.ck.page/943aa3fd46 (https://mlengineered.ck.page/943aa3fd46)

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Aug 18, 2020