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Linear algebra, calculus, probability, and statistics are the core math requirements. Khan Academy offers free courses in all of these. You don't need to be a math expert — understanding the concepts is more important than proofs.
Python is the primary language for ML. Learn NumPy, pandas, scikit-learn, and either PyTorch or TensorFlow. SQL is also valuable for data handling.
Expect 3-4 months for fundamentals, 6-9 months to become proficient, and 12+ months to be job-ready. Consistent daily practice of 1-2 hours accelerates progress significantly.
They complement each other. Andrew Ng's course builds strong theoretical foundations (bottom-up approach). Fast.ai teaches practical skills first (top-down). Most learners benefit from both.
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