汇总一下我写过的关于机器学习的东西。
1. 统计学习方法
- SVM https://blog.csdn.net/weixin_41332009/article/details/113801873
- Logistic Regression https://blog.csdn.net/weixin_41332009/article/details/113812192
- 常见聚类算法 https://blog.csdn.net/weixin_41332009/article/details/113859674
- KNN https://blog.csdn.net/weixin_41332009/article/details/113894820
- 隐马尔可夫模型 https://blog.csdn.net/weixin_41332009/article/details/113852389
- 随机森林 https://blog.csdn.net/weixin_41332009/article/details/113815702
- 提升树 https://blog.csdn.net/weixin_41332009/article/details/113816167
- GBDT https://blog.csdn.net/weixin_41332009/article/details/113818524
- xgboost https://blog.csdn.net/weixin_41332009/article/details/113823657
- 贝叶斯推断 https://blog.csdn.net/weixin_41332009/article/details/113820705
- 香农信息量，熵，联合熵，条件熵，相对熵，互信息 https://blog.csdn.net/weixin_41332009/article/details/113836524
- 优化器 https://blog.csdn.net/weixin_41332009/article/details/113180189
2. 深度学习与神经网络（NLP向）
- 词嵌入 https://blog.csdn.net/weixin_41332009/article/details/113920580
- GloVe https://blog.csdn.net/weixin_41332009/article/details/114005693
- language model和RNN https://blog.csdn.net/weixin_41332009/article/details/114023882
- 梯度消失和RNN变种(LSTM, GRU, 双向RNN，多层RNN) https://blog.csdn.net/weixin_41332009/article/details/114044090
- 机器翻译，Seq2seq，Attention https://blog.csdn.net/weixin_41332009/article/details/114129748?spm=1001.2014.3001.5501
- 机器问答 https://blog.csdn.net/weixin_41332009/article/details/112758665?spm=1001.2014.3001.5501
- 卷积神经网络综述 https://blog.csdn.net/weixin_41332009/article/details/114156185
- Self-attention到Transformer https://blog.csdn.net/weixin_41332009/article/details/114441708
- Transformer 到 BERT https://editor.csdn.net/md?not_checkout=1&articleId=114489895