"Advice on building a machine learning career and reading research papers by Prof. Andrew Ng"

"most important thing in data science is the question"

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

MIT: Papers + Code

"Peer-review is the lifeblood of scientific validation and a guardrail against runaway hype in AI. Our commitment to publishing in the top venues reflects our grounding in what is real, reproducible, and truly innovative."

learning in public

, it works great for some folks. (Don't pressure yourself yet though! Everybody is different, and it's good to know your learning style.)

papers.labml.ai/papers/weekly

, monthly