ml-road

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机器学习与智能体 AI 的学习资源合集,涵盖计算机视觉、NLP、语音识别等方向的实践教程与研究资料,适合系统入门和查阅。

Machine Learning and Agentic AI Resources, Practice and Research

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一份机器学习与智能体 AI 的课程、书籍与资源合集,帮你省去到处找学习资料的时间

机器学习与智能体 AI 的学习资源合集,涵盖计算机视觉、NLP、语音识别等方向的实践教程与研究资料,适合系统入门和查阅。

核心能力

  • 汇总 Andrew Ng、李宏毅等名校机器学习与深度学习课程链接
  • 整理《深度学习》《机器学习》等经典教材的 PDF 与中文版
  • 按机器学习、深度学习、NLP、强化学习等方向分类索引
  • 提供 Bilibili、YouTube、Coursera 等多平台观看入口

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    README 原文

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    Machine Learning Road

    Machine Learning and Agentic AI Resources, Practice and Research.

    Disclamier

    The resources in this repo are only for educational purpose. Do not use resources in this repo for any form of commercial purpose.

    If the author of ebook found your intelligence proprietary violated because of contents in this repo, please contact me and I will remove relevant stuff ASAP.


    Courses

    Course NameInstitutionLecturerLinkCategory
    Machine LearningCourseraAndrew Ng[Coursera][Bilibili][Youtube]Machine Learning
    Machine Learning FoundationsNational Taiwan UniversityHsuan-Tien Lin[Bilibili][Youtube]Machine Learning
    Machine Learning TechniquesNational Taiwan UniversityHsuan-Tien Lin[Bilibili][Youtube]Machine Learning
    Machine LearningStanfordAndrew Ng[Netease][Youtube]Machine Learning
    Deep Learningdeeplearning.aiAndrew Ng[Netease][Coursera]Deep Learning
    CS231n: Convolutional Neural Networks for Visual RecognitionStanfordFei-Fei Li[Homepage][Youtube]Deep Learning, Computer Vision
    CS224n: Natural Language Processing with Deep LearningStanfordChristopher Manning[Homepage][Youtube]Deep Learning, NLP
    Deep Learning for Natural Language ProcessingOxford UniversityPhil Blunsom[Homepage][Slides]Deep Learning, NLP
    Applied Deep Learning / Machine Learning and Having It Deep and StructuredNational Taiwan UniversityYun-Nung Chen, Hung-Yi Lee[Homepage][Youtube]Machine Learning, Deep Learning
    CS 20: TensorFlow for Deep Learning ResearchStanfordChip Huyen[Homepage][Github]Deep Learning
    CS 294: Deep Reinforcement LearningUC BerkeleySergey Levine[Homepage][Youtube]Deep Learning, Reinforcement Learning
    Neural Networks for NLPCMUGraham Neubig[Homepage]NLP, Deep Learning
    Mathematics of Deep LearningNYUJoan Bruna[Github]Deep Learning
    Introduction to NLPStanfordDan Jurafsky, Chris Manning[Youtube]NLP
    Text Mining and AnalyticsUIUCChengXiang Zhai[Coursera]NLP
    Machine Learning Crash Course with TensorFlow APIsGoogleGoogle[Homepage]Machine Learning, Tensorflow
    CS230: Deep LearningStanfordAndrew Ng, Kian Katanforoosh[Homepage]Deep Learning
    Intro to Deep Learning with PyTorchFacebook AIFacebook AI[Udacity]Deep Learning, PyTorch
    Introduction to Deep LearningUC BerkeleyAlex Smola, Mu Li[Youtube][GitHub]Deep Learning
    Foundations of Machine LearningNYUMehryar Mohri[Homepage]Machine Learning
    DS1003 Machine LearningNYUJulia Kempe, David Rosenberg[Homepage][Slides] [Youtube][Assignments]Machine Learning
    TensorFlow in PracticeCourseraLaurence Moroney[Coursera]TensorFlow
    DS-GA 1008 Deep LearningNYUYann LeCun, Alfredo Canziani[Homepage] [YouTube][Bilibili]Deep Learning, PyTorch
    Deep Learning for Human Language ProcessingNational Taiwan UniversityHung-yi Lee[Homepage] [YouTube]Deep Learning, NLP

    Books

    Book NameAuthorLinkCategory
    机器学习周志华[Amazon][JD]Machine Learning
    Deep LearningIan Goodfellow, Yoshua Bengio, Aaron Courville[PDF][中文版]Deep Learning
    Machine LearningTom Mitchell[PDF]Machine Learning
    Pattern Recogniton and Machine LearningChristopher Bishop[PDF][中文版]Machine Learning
    The Elements of Statistical LearningTrevor Hastie, Robert Tibshirani, Jerome Friedman[PDF]Machine Learning
    Data Mining: Practical Machine Learning Tools and TechniquesIan H. Witten, Eibe Frank[PDF]Data Mining
    Artificial Intelligence: A Modern ApproachSturart J. Russell, Peter Norvig[PDF]AI
    Machine Learning: A Probabilistic PerspectiveKevin P. Murphy[PDF]Machine Learning
    Natural Language Processing with PythonStven Bird, Ewan Klein, Edward Loper[PDF][Link]NLP
    Getting Started with TensorflowGiancarlo Zaccone[PDF]Tensorflow
    Hands-On Machine Learning with Scikit-Learn and TensorFlowAurélien Géron[PDF][Github]Machine Learning
    Deep Learning with PythonFrançois Chollet[PDF][Github]Deep Learning
    Probabilistic Graphical Models: Principles and TechniquesDaphne Koller, Nir Friedman[PDF]Probabilistic Graphical Model
    Speech and Language ProcessingDan Jurafsky, James H. Martin[Homepage][PDF]NLP
    Neural Network Methods for Natural Language ProcessingYoav Goldberg[PDF]NLP
    统计学习方法李航[Amazon]Machine Learning
    Natural Language ProcessingJacob Eisenstein[PDF]NLP
    Dive into Deep Learning 动手学深度学习Aston Zhang, Mu Li, Zachary C.Lipton, Alexander J.Smola[中文版] [PDF] [Website] [GitHub] [Jupyter]Deep Learning
    Feature Engineering for Machine LearningAlice Zheng, Amanda Casari[PDF][译]Machine Learning, Feature Engineering
    Machine Learning YearningAndrew Ng[译][在线阅读]Machine Learning
    Foundations of Machine LearningMehryar Mohri[PDF][HomePage]Machine Learning

    Agentic AI

    Resource NameTypeAuthors/InstructorsLinkCategory
    Agentic AICourseAndrew Ng[DeepLearning.AI]Agentic AI Fundamentals
    LangChain for LLM Application DevelopmentCourseHarrison Chase, Andrew Ng[DeepLearning.AI]LLM Applications, Agents
    Building Systems with the ChatGPT APICourseIsa Fulford, Andrew Ng[DeepLearning.AI]LLM Applications, Agents
    Strands AgentsSDKStrands[Homepage]Multi-Agent Systems
    AI Agents in LangGraphCourseHarrison Chase, Rotem Weiss[DeepLearning.AI]Agent Frameworks
    ChatGPT Prompt Engineering for DevelopersCourseIsa Fulford, Andrew Ng[DeepLearning.AI]Prompt Engineering
    ReAct: Synergizing Reasoning and Acting in Language ModelsPaperYao et al.[arXiv]Reasoning, Planning
    Toolformer: Language Models Can Teach Themselves to Use ToolsPaperSchick et al.[arXiv]Tool Use
    Deep Dive into LLMs like ChatGPTCourseAndrej Karpathy[YouTube]LLM Fundamentals
    Build your first Agentic AI app step-by-step with Strands Agents & MCPCourseAWS[YouTube]Agentic AI Applications
    Building Effective AI AgentsBlogAnthropic[Anthropic]Agent Design, Best Practices
    How We Built Our Multi-Agent Research SystemBlogAnthropic[Anthropic]Multi-Agent Systems, Architecture