Best Resources to Learn Machine Learning

Here are some of the best courses and resources to get started and go deep in machine learning:

• Andrew Ng's Machine Learning (Coursera)
  The classic introduction to ML, covering supervised learning, neural networks, and more. Highly recommended for beginners.
• fast.ai Practical Deep Learning for Coders
  A hands-on, code-first deep learning course that gets you building real models quickly. Great for those who learn by doing.
• DeepLearning.AI Specialization
  A series of advanced courses by Andrew Ng, focusing on deep learning, neural networks, and practical applications.
• An Introduction to Statistical Learning (ISLR)
  A classic textbook (with free online version) that covers the theory and practice of statistical learning.
• Stanford CS231n: Convolutional Neural Networks for Visual Recognition
  The go-to course for deep learning in computer vision, with excellent lecture notes and assignments.
• Kaggle Learn
  Short, practical tutorials and micro-courses on ML, data science, and Python, with hands-on exercises.
• scikit-learn Tutorials
  Official tutorials for the most popular Python ML library, covering everything from basics to advanced topics.

These resources are a great starting point for anyone interested in machine learning, whether you're a beginner or looking to deepen your expertise.