Courses And Learning Paths: 179 curated resources
Curated material on courses and learning paths within foundations.
179 resources · page 5 of 6
Goodfellow et al., Deep Learning
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Author site for the Deep Learning textbook by Goodfellow, Bengio and Courville, free to read online.
Google ML Glossary
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Google Machine Learning Glossary defining ML terms, including TensorFlow and large language model terminology.
Habr ML hub
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Habr machine learning hub: Russian-language articles on ML from practitioners and companies.
Happy-LLM
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Datawhale Happy-LLM GitHub repo: Chinese tutorial on building an LLM from scratch, covering tokenizer, pretraining, SFT, LoRA, RAG and agents.
HF Transformers glossary
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Hugging Face Transformers glossary defining terms used in transformer models and the library.
HSE CS wiki
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HSE Faculty of Computer Science wiki with course pages for machine learning and deep learning, in Russian.
Hugging Face LLM Course
by Hugging Face
A structured route through the Hugging Face ecosystem.
Hung-yi Lee ML 2025 Spring
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Hung-yi Lee's ML 2025 Spring course page: agents, LLM internals, Mamba, post-training, reasoning and model editing.
Hung-yi Lee ML 2026 Spring
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Hung-yi Lee's ML 2026 Spring course page at National Taiwan University with lectures and assignments.
Learning in the Open: What AI Is and Isn't Changing (Khan Academy)
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Khan Academy post on lessons from deploying the Khanmigo AI tutor: what works and what does not.
Letta docs
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Letta documentation: platform for building stateful agents with persistent memory, successor to MemGPT.
Llama Guard
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arXiv paper (2023) introducing Llama Guard, an LLM-based classifier for safeguarding human–AI conversation inputs and outputs.
Made With ML
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Made With ML by Anyscale: course on designing, developing, deploying and iterating on production ML applications.
MemGPT
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arXiv paper (2023) introducing MemGPT, OS-style virtual context management for LLM agents.
ML-Ops.org
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ML-Ops.org: reference on MLOps principles and practices for operationalising machine-learning models.
Murphy, Probabilistic ML
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Kevin Murphy's Probabilistic Machine Learning book series site, with free introductory and advanced volumes.
NIST AI 600-1 GenAI Profile
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NIST AI 600-1 PDF: Generative AI Profile of the AI RMF listing 12 GenAI-specific risks and suggested actions.
NIST AI glossary
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NIST AI Resource Center glossary of trustworthy-AI terms from the AI Risk Management Framework, with references.
NIST AI Risk Management Framework
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NIST AI Risk Management Framework page: the Govern, Map, Measure and Manage framework with resources.
OECD AI Principles & AI system definition
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OECD.AI page on the OECD AI Principles and the OECD definition of an AI system.
Prince, Understanding Deep Learning
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Simon Prince's Understanding Deep Learning textbook site with free PDF and Python notebooks.
Second RIBA AI Report shows surge in usage among UK architects
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RIBA news release on its second AI report, showing rising AI use among UK architects.
Russell & Norvig AIMA
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Author site for Russell and Norvig's Artificial Intelligence: A Modern Approach, with code, exercises and resources.
Stanford CS229
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Stanford CS229 Machine Learning course site with lecture notes on learning algorithms and statistical foundations.
Stanford CS25 Transformers United V6
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Stanford CS25 Transformers United V6 seminar site with talks by researchers on transformer research.
The Convergence of AI and Creativity: Introducing Ghostwriter (Ubisoft)
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Ubisoft post introducing Ghostwriter, an in-house AI tool that drafts NPC dialogue barks for writers.
UK Government AI Playbook
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AI Playbook for the UK Government: principles and guidance for civil servants on using AI safely, including procurement.
UNESCO guidance for generative AI in education and research
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UNESCO guidance on generative AI in education and research for governments and institutions.
Why Do Multi-Agent LLM Systems Fail?
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arXiv paper (2025) analysing why multi-agent LLM systems fail, with a taxonomy of 14 failure modes.
Wikipedia: Large language model
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Wikipedia article on large language models: definition, history, architecture, training and limitations.
Yandex ML Handbook (Учебник по машинному обучению)
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Yandex School of Data Analysis machine learning handbook in Russian, from classical algorithms to deep learning theory, with maths and code.
YSDA NLP course
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YSDA nlp_course GitHub repo: natural-language-processing course from Yandex School of Data Analysis with lectures and notebooks.