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AI / ML Learning Hub
From the math foundations of supervised learning to building production LLM pipelines — 8 modules covering the full AI/ML stack. Real intuition, no hand-waving.
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01AI / ML Explained — the full map. What each field is, how they relate, when to use what.
02Machine Learning — supervised, unsupervised, core algorithms, bias-variance, evaluation.
03Deep Learning — neural nets, backprop, CNNs, RNNs, transformers.
04Pick a specialization — NLP for text/LLMs, CV for images, RL for agents.
05Generative AI — LLMs, diffusion models, RAG, prompt engineering, production patterns.