Machine Learning Specialization

From Coursera

About this online course

Andrew Ng's technical follow-up to "AI for Everyone" — a three-course specialization covering supervised learning, advanced learning algorithms, and unsupervised learning. This is the modernized version of the legendary Stanford machine learning course that launched the MOOC era. Math is required (algebra and basic calculus help), and you'll write Python code in the assignments. Skip this one if you're looking for a high-level executive overview. Take it if you want to actually understand how machine learning models are built, trained, and evaluated. Roughly three to six months at a few hours per week. Highly rated, with nearly 40,000 reviews averaging 4.9 stars. Best for engineers, analysts, and curious technical professionals who want to move from "I've heard of neural networks" to "I've trained one."

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