A curated list of helpful resources for learning machine learning. This project is a collection of helpful resources for anyone looking to learn more about machine learning. Whether you're a beginner or an experienced practitioner, you'll find something useful here.
- Machine Learning Crash Course: A free, self-paced course from Google that covers the fundamentals of machine learning.
- Introduction to Machine Learning with Python: A Coursera course that teaches you how to use Python to build and evaluate machine learning models.
- A Visual Introduction to Machine Learning: An interactive tutorial that explains the basic concepts of machine learning using visualizations.
- Machine Learning by Andrew Ng: A classic course on machine learning that covers the basics of linear regression, logistic regression, neural networks, and more.
- Fast.ai: A series of practical courses that teach you how to build real-world applications using deep learning.
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: A practical guide to building and evaluating machine learning models using Python.
- The Hundred-Page Machine Learning Book: A concise introduction to machine learning that covers the basics of supervised and unsupervised learning.
- KDnuggets: A blog that covers news and tutorials on machine learning, artificial intelligence, data science, and more.
- Towards Data Science: A publication on Medium that features articles and tutorials on data science and machine learning.
- Machine Learning Street Talk: A YouTube channel and podcast that features interviews with machine learning researchers and practitioners.
- Data Skeptic: A podcast that explores topics in data science, machine learning, and artificial intelligence.
- NeurIPS: The Conference on Neural Information Processing Systems is one of the top conferences
- channel link: All credits goes to him.