MASTER MACHINE LEARNING FROM FIRST PRINCIPLES TO FAANG PRODUCTION
An open-access curriculum and curated intelligence matrix spanning Matrix Calculus, Deep Neural Networks, Transformers, Agentic AI, MLOps, and FAANG Applied Scientist systems.
11-STAGE CURRICULUM ROADMAP
Follow the stages linearly or conquer modules simultaneously. Each milestone is clickable—check items off to earn XP, level up your rank, and monitor your personal learning trajectory.
CURATED RESOURCE MATRIX
Every video, university lecture series, textbook, code repo, and paper has been vetted for academic rigor and practical industry application. Search or filter by track.
FEATURED YOUTUBE LECTURES & PLAYLISTS
Curated directly from Stanford, MIT, Andrej Karpathy, 3Blue1Brown, StatQuest, Yannic Kilcher, and Umar Jamil. Zero fluff—only high-signal educational gems.
THE FREE AI/ML BOOKSHELF
Legally free, author-hosted digital copies of the foundational textbooks that define artificial intelligence and mathematical optimization.
APPLIED SCIENTIST & MLE PLAYBOOK
Directly distilled from engineering leaders at Meta/Google and off-campus FAANG Applied Scientists. Master the 4 AI roles, the 7-step ML system design framework, and whiteboard math derivations.
⚙️ 7-Step ML System Design Blueprint
The conversational structure required to excel in senior ML interview loops at Google, Meta, and Netflix:
📐 Whiteboard Math Drills (First Principles)
Common interview scenarios: "Write the mathematical formulation and derive gradients":
🏛️ Conference vs Journal: Publication Strategy
In Computer Science, Flagship Conferences (NeurIPS, ICML, ICLR, CVPR) are the primary currency and tenure yardstick, unlike journal-centric biology or medicine.
CORE A* Venues: NeurIPS, ICML, ICLR, CVPR, ICCV, ACL
Fast Rolling Review: TMLR (Transactions on ML Research - 4-6 week turnaround)
Tools: Track h5-index on Google Scholar & csrankings.org
THE 4 AI CAREER ARCHETYPES
ML & AI PORTFOLIO PROJECT BLUEPRINTS
Tiered portfolio projects designed to prove genuine engineering competency on your resume and GitHub. From tabular baselines to training 1B foundation models and building autonomous SWE agents.
MATHEMATICAL FORMULAS & TOOL ARSENAL
Essential equations (Attention, RoPE, Adam, Loss functions) frequently tested in research interviews, alongside the 2026 industry AI stack.