Foundations for beginner learners
553 resources · page 18 of 18
Neural Networks: Zero to Hero (Karpathy)
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Andrej Karpathy's Neural Networks: Zero to Hero video course, building micrograd, makemore, GPT and a tokenizer in code.
ODS.ai course tracks
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Open Data Science course tracks: Russian-language courses on NLP, LLMs, MLOps and other ML topics.
Prompt Engineering Guide (DAIR.AI)
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DAIR.AI Prompt Engineering Guide: overview of prompting techniques, applications and model notes, in many languages.
Rob Miles (@robertskmiles)
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Rob Miles' YouTube channel: explainers on AI alignment problems.
TeddyNote 테디노트
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TeddyNote YouTube channel: Korean-language tutorials on applied LLMs, RAG and LangChain.
Transformer Explainer (Georgia Tech)
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Georgia Tech Transformer Explainer: interactive in-browser visualisation of how a GPT-2 transformer works.
Transkribus Help Center
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Transkribus Help Center: guides to training and applying handwriting-recognition models on documents.
Unsloth RL / GRPO guide
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Unsloth reinforcement learning guide: training reasoning models with GRPO, with linked tutorials and advanced RL docs.
Учебник по машинному обучению / YSDA ML textbook
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Yandex School of Data Analysis ML textbook in Russian, from basic algorithms to current research, with maths and code.