李宏毅《机器学习》大纲李宏毅《机器学习》大纲
主要是学习台湾大学李宏毅2017版《机器学习》课程的学习笔记
| 课程 | 文档&视频 | 文档视频更新时间 | 博客 | | :--- | :---: | :---: | :---: | | Introduction of this course | pdf,pptx | (2017/02/23) | | | Regression
|pdf,pptx,video | (2017/03/02) | | | Where does the error come from? | pdf,pptx,video | (2017/03/02, recorded at 2016/10/07) | | Gradient
Descent | pdf,pptx,video | (2017/03/09, recorded at 2016/10/07) | Classification: Probabilistic Generative Model | pdf, pptx, video | (2017/03/16,
recorded at 2016/10/07) | | | Classification: Logistic Regression | pdf, pptx, video | (2017/03/23, part of the video recorded at 2016/10/14) | | |
Introduction of Deep Learning | pdf, pptx, video | (2017/03/23, recorded at 2016/10/14) | | | Backpropagation | pdf, pptx, video | (2017/03/23) | | |
“Hello world” of Deep Learning | pdf, pptx, video | (2017/03/23) | | | Tips for Deep Learning | pdf, pptx, video | (2017/03/30) | | | Convolutional
Neural Network | pdf, pptx, video | (2017/04/06) | | | Why Deep? | pdf, pptx, video | (2017/04/06, recorded at 2016/11/04) | | | Semi-supervised
Learning | pdf, pptx, video | (2017/04/13, recorded at 2016/11/11) | | | Unsupervised Learning: Principle Component Analysis | pdf, pptx, video |
(2017/04/13, recorded at 2016/11/11) | | | Unsupervised Learning: Neighbor Embedding | pdf, pptx, video | (2017/04/20) | | | Unsupervised
Learning: Deep Auto-encoder | pdf, pptx, video | (2017/04/20) | | | Unsupervised Learning: Word Embedding | pdf, pptx, video | (2017/04/27) | | |
Unsupervised Learning: Deep Generative Model | pdf, pptx, video | (2017/04/27) | | | Transfer Learning | pdf, pptx, video | (2017/05/03) | | |
Recurrent Neural Network | pdf, pptx, video (part 1), video (part 2) | (recorded at 2016/12/30) | | | Matrix Factorization | pdf, pptx, video |
(2017/05/25) | | | Ensemble | pdf, pptx, video | (2017/05/25) | | | Introduction of Structured Learning | pdf, pptx, video (part 1), video (part 1) |
(2017/06/01) | | | Introduction of Reinforcement Learning | pdf, pptx, video | (2017/06/15) ||
以上链接都是转至 台湾大学的官网
视频内容也可以去bilibili上面看 李宏毅机器学习(2017)
剩余555页未读，继续阅读
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