📚 AI学习资源
AI课程、教程、书籍和社区推荐
👥社区
🎬视频
📚书籍
AI Engineering by Chip Huyen
进阶Practical guide to building AI applications in production, covering MLOps, evaluation, and deployment.
Deep Learning by Ian Goodfellow
高级The definitive textbook on deep learning theory, covering math foundations, modern architectures, and research methods.
Hands-On Machine Learning
进阶Aurélien Géron's practical guide to ML with Scikit-Learn, Keras, and TensorFlow. Industry standard textbook.
📝教程
OpenAI Cookbook
进阶Collection of practical examples and best practices for using OpenAI APIs effectively.
Full Stack LLM Bootcamp
进阶Learn to build, deploy, and manage LLM-powered applications from scratch.
Prompt Engineering Guide
入门Comprehensive guide to prompt engineering techniques for various AI models and use cases.
LangChain Tutorial
进阶Official tutorials for building LLM applications with LangChain, including RAG, agents, and chains.
🎓课程
Hugging Face NLP Course
进阶Learn NLP using the Transformers library. Covers tokenization, fine-tuning, and model deployment.
Google Machine Learning Crash Course
入门Google's fast-paced introduction to machine learning with TensorFlow APIs and real-world case studies.
Stanford CS229: Machine Learning
高级Stanford's flagship ML course covering supervised learning, unsupervised learning, and reinforcement learning.
Fast.ai Practical Deep Learning
入门Top-down approach to deep learning. Build real projects from day one without heavy math prerequisites.
Deep Learning Specialization
进阶Andrew Ng's comprehensive deep learning course covering neural networks, CNNs, RNNs, and more.