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【机器学习】【白板推导系列】笔记（BV1aE411o7qd）

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Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
images		images
1 Introduction.md		1 Introduction.md
10 EM Algorithm.md		10 EM Algorithm.md
11 Approximate Inference.md		11 Approximate Inference.md
12 Sampling Methods.md		12 Sampling Methods.md
13 Sequential Data.md		13 Sequential Data.md
14 Conditional Random Field.md		14 Conditional Random Field.md
15 Gaussian Processes.md		15 Gaussian Processes.md
16 Confronting Partition Function.md		16 Confronting Partition Function.md
17 Deep Generative Model.md		17 Deep Generative Model.md
18 Autoencoders.md		18 Autoencoders.md
19 Optimization for Training Deep Models.md		19 Optimization for Training Deep Models.md
2 Fundamental Math.md		2 Fundamental Math.md
3 Linear Regression.md		3 Linear Regression.md
4 Linear Classification.md		4 Linear Classification.md
5 Dimension Reduction.md		5 Dimension Reduction.md
6 Support Vector Machine.md		6 Support Vector Machine.md
7 Kernel Method.md		7 Kernel Method.md
8 Exponential Family Distribution.md		8 Exponential Family Distribution.md
9 Probabilistic Graphical Model.md		9 Probabilistic Graphical Model.md