/MachineLearningNote

Machine Learning Note

Primary LanguageJupyter Notebook

MachineLearning_notebook

This is a machine learning summary note, a total of 4 major themes, 35 subsections. Just for learn as rookie.

快速学习

  1. 专题一：机器学习基础-MachineLearningBase

    1. Liner Regression
    2. Logistics Regression
    3. Desition Tree
    4. Random Forest
    5. GBDT
    6. XGBoost
    7. LightGBM
    8. SVM
    9. Bayes Network
    10. Markov
    11. Topic Model
    12. EM
    13. Clustering
    14. ML特征工程和优化方法
    15. KNN

  2. 专题二：深度学习-DeepLearning

    1. Neural Network
    2. CNN
    3. RNN
    4. GRU
    5. LSTM
    6. Transfer Learning
    7. Reinforcement Learning
    8. DL Optimizer

  3. 专题三：自然语言处理-NLP

    1. NLP
    2. Word Embedding
    3. fastText
    4. GloVe
    5. textRNN & textCNN
    6. seq2seq
    7. Attention
    8. Transformer
    9. BERT
    10. XLNet

  4. 专题四：系统项目-Project

    1. Recommendation System
    2. Intelligent Customer Service