Machine Learning
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  • Introduction
  • man
  • Linear model
  • bayes
  • Logistic Regression
  • SVM
  • EM
  • Maximum Entropy
  • HMM
  • CRF
  • Random Forest
  • boosting
  • LDA
  • rank
  • Factorization Machine
  • Clustering
  • Kalman filtering
  • word2vec
  • 关联规则挖掘
  • MATH-Mathematical Analysis
  • MATH-probability
  • MATH-Linear Algebra
  • MATH-Convex optimization
  • MATH-碎碎念
  • ML碎碎念
  • 课件
  • Time Series
  • PID
  • graph
  • Anomaly Detection
  • Dimensionality Reduction
  • Federated Learning
  • automl
  • Look-alike
  • KNN
  • causal inference
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man

https://github.com/datawhalechina/pumpkin-book

機器學習:使用Python

PRML_Translation.pdf

Andrew NG的新书《Machine Learning Yearning》

http://www.52nlp.cn/prml%E8%AF%BB%E4%B9%A6%E4%BC%9A%E5%89%8D%E8%A8%80

https://mqshen.gitbooks.io/prml/content/ PRML

https://www.datacamp.com/community/blog/scikit-learn-cheat-sheet Scikit-Learn Cheat Sheet: Python Machine Learning

http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf Rules of Machine Learning:Best Practices for ML Engineering

140 Machine Learning Formulas.pdf

周志华:机器学习有这两大派别,新人入门别跟错队

机器学习算法集锦:从贝叶斯到深度学习及各自优缺点

谷歌机器学习应用的四十三条经验法则

Classical equations and diagrams in machine learning

北京大学王立威教授:机器学习理论的回顾与展望(一)

北京大学王立威教授:机器学习理论的回顾与展望(二)

局部可理解的与模型无关的解释(LIME)技术介绍

32页ppt干货|谷歌大规模机器学习:模型训练、特征工程和算法选择

Python code for "Machine learning: a probabilistic perspective"

一文读懂量子机器学习:量子算法基石已经奠定

斯坦福大学2014(吴恩达)机器学习教程中文笔记

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