Best Resources to Learn Machine Learning

Curated courses and resources to get started and go deep in machine learning.

• Andrew Ng's Machine Learning (Coursera) — Classic introduction: supervised learning, neural networks, and more. Highly recommended for beginners.
• fast.ai Practical Deep Learning for Coders — Hands-on, code-first course that gets you building real models quickly.
• DeepLearning.AI Specialization — Advanced courses by Andrew Ng: deep learning, neural networks, and practical applications.
• An Introduction to Statistical Learning (ISLR) — Free textbook on the theory and practice of statistical learning.
• Stanford CS231n: Convolutional Neural Networks — Computer vision and CNNs, with excellent notes and assignments.
• Kaggle Learn — Short practical tutorials on ML, data science, and Python.
• scikit-learn Tutorials — Official tutorials for the most popular Python ML library.

These resources are a solid starting point whether you're new to ML or deepening your expertise.