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