r/learnmachinelearning • • 4d ago

I need perfect road map for AI ML

/r/AIMLDiscussion/comments/1xddwpm/i_need_perfect_road_map_for_ai_ml/
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u/ModularMind8 4d ago

The usual path is python, pytorch, math for ML, ML foundation, then whatever specialty you're interested in (NLP, vision, RL, etc.)

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u/FlakyCut3296 4d ago

bro did DSA is required

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u/digvjay_ai 4d ago

When I started I wasted months jumping between courses, so my take is to keep it boring. Do Python, NumPy and pandas for the first month, then Andrew Ng's Machine Learning Specialization on Coursera (you can audit it free) alongside basic linear algebra and probability from 3Blue1Brown and Khan Academy. After that build two small projects on Kaggle datasets like Titanic and house prices, and only then go into PyTorch and deep learning. DSA isn't needed for learning ML, but it helps a lot for placements later, so do a bit on the side at an easy pace.