Justin Glibert - How I learned modern Machine Learning
I recently received a short email asking how I learned modern ML in less than year and ended up with a research internship. I wrote back a detailed response which I was quite satisified about, and then decided to share it here. I added some notes about advices in general and why they suck if you blindly follow them. The Email Hey {Redacted}, Thanks for your email! Before going through the story and giving some advices, I want to emphasise that what worked for me (and the steps I took in order to be successful in that matter) won’t be easily transposable to your own life and situation.
Justin Glibert - How I learned modern Machine Learning ☜ Justin Glibert How I learned modern Machine Learning Jun 16, 2020 | 6 minutes I recently received a short email asking how I learned modern ML in less than year and ended up with a research internship. I wrote back a detailed response which I was quite satisified about, and then decided to share it here. I added some notes about advices in general and why they suck if you blindly follow them. The Email Hey {Redacted}, Thanks for your email! Before going through the story and giving some advices, I want to emphasise that what worked for m
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related reading
- How I became a machine learning practitionerblog.gregbrockman.com
- An Opinionated Guide to ML Researchjoschu.net
- Just know stuff. (Or, how to achieve success in a machine learning PhD.) · Patrick Kidgerkidger.site
- How to get from high school math to cutting-edge ML/AI: a detailed 4-stage roadmap with links to the best learning resources that I’m aware of.justinmath.com
- Study Guide — LessWronglesswrong.com
- Advice for students of machine learningmimno.org
- GitHub - jacobhilton/deep_learning_curriculum: Language model alignment-focused deep learning curriculumgithub.com
- ML Job Interviews: The Ultimate Guide – Silvia Saporasilviasapora.github.io
- GitHub - louisfb01/start-machine-learning: A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-argithub.com
- Math For Machine Learning [Resources]lelouch.dev
- Don't waste time like I did in my ML careerraymondyoo.com
- Supervised Machine Learning: Regression and Classification | Courseracoursera.org