# Here many asking same question what is best for ML (resources) upvote it and read body Canonical: https://social-archive.org/gergan/pKwSPcUfg0 Original URL: https://www.reddit.com/r/learnmachinelearning/comments/1t0kj1g/here_many_asking_same_question_what_is_best_for/ Author: Working-Ad3755 Platform: reddit ## Content If you want a **complete ML path (basics β†’ advanced)**, these are honestly some of the best resources πŸ‘‡ **πŸ“˜ Start with fundamentals** * *Hands-On Machine Learning (AurΓ©lien GΓ©ron)* β†’ best book for concepts + practical intuition * Andrew Ng’s Machine Learning Specialization β†’ **most recommended beginner course on Reddit** (clear + structured) () **πŸŽ“ Build strong theory** * Stanford CS229 (Andrew Ng lectures) β†’ deeper math + real understanding * Covers regression, SVMs, kernels, etc. **⚑ Go practical (important)** * [fast.ai](http://fast.ai) β†’ learn by building real models (projects from day 1) * Kaggle β†’ apply what you learn **🧠 Go advanced** * Deep Learning Specialization (Andrew Ng) * Transformers / modern DL after basics πŸ’‘ Reddit consensus: > Simple roadmap: **Basics β†’ Theory β†’ Practice β†’ Advanced DL**