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Machine Learning study note

to-do list

Machine Learning Algorithm

  • Linear Model

    • Regression

      • Ridge, Lasso, Elastic Net

    • Classification

    • Training method

      • GD

    • Loss Function

    • [ ]

  • SVM
  • Decision Trees
  • Ensemble
  • Naive Bayes
  • PCA
  • Regularization
  • Clustering
  • EM
  • Boosting
  • HMM
  • CRF

Python

  • Foundation
  • Functional Programming
  • OOP
  • MultiThread

Python kit of machine learning

  • numpy
  • scikit-learning
  • scipy
  • matplotlib
  • pandas

Datasets

RE

Web Crawler

IDE

  • Pycharm
  • Anacoda

Docker

Reference

books

1.周志华. 机器学习[M]

2.李航. 统计学习方法[M]

3.Aurelien Geron. Hands-On Machine Learning with Scikit-Learn&TensorFlow[M]

x.Toby Segaran. Programming Collective Intelligence[M]

x.Cameron Davidson-Pilon. Bayesian Methods for Hackers- Probabilistic Programming and Beyesian Inference

Journal

1.a

2.b