awesome-ai-ml-resources

Why we included this project

Machine learning has a steep learning curve, and this roadmap is a good way to climb it without getting lost. It starts with the core ideas, then moves through the math and Python you'll need, and only later gets into hands-on projects and specific fields like NLP, computer vision, and reinforcement learning. The links are hand-picked and mostly free, so you're pointed at MIT's linear algebra lectures, Andrew Ng's courses, the Hugging Face NLP course, and fast.ai's practical track instead of a random search result. It also covers the parts of the field that are easy to overlook, like MLOps, reading research papers, and interview prep. If you're teaching yourself or helping a teammate get up to speed, this is a study plan you can actually follow.