MachineLearning

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开发工具:Others
文件大小:25151KB
下载次数:1
上传日期:2020-11-06 14:44:12
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说明:  机器学习白板推导笔记,有typora和pdf两个版本
(Machine Learning class notes)

文件列表:
.DS_Store (10244, 2020-02-27)
1.Intro_Gaussian_Distribution.md (12373, 2020-09-25)
10.VI.md (5873, 2020-02-27)
11.MCMC.md (6457, 2020-02-27)
12.HMM.md (8691, 2020-02-27)
13.LDS.md (2639, 2020-02-27)
14.particleFilter.md (3406, 2020-02-27)
15.CRF.md (7757, 2020-02-27)
16.GaussianNetwork.md (3038, 2020-02-27)
17.BayesianLR.md (2384, 2020-02-27)
18.GaussianProcess.md (5062, 2020-02-27)
19.RBM.md (3983, 2020-02-27)
2.LinearRegression.md (6491, 2020-09-27)
20.Spectral.md (3344, 2020-02-27)
21.NN.md (2394, 2020-02-27)
22.PartitionFunction.md (6247, 2020-02-27)
23.ApproInference.md (1294, 2020-02-27)
3.LinearClassification.md (15651, 2020-09-27)
4.DimentionReduction.md (6230, 2020-09-27)
5.SVM.md (13296, 2020-09-28)
6.Exponentialfamily.md (5414, 2020-09-28)
7.PGMIntro.md (11449, 2020-10-10)
8.EM.md (5394, 2020-02-27)
9.GMM.md (4158, 2020-11-01)
cheatsheet.md (14881, 2020-02-27)
originVSdual.jpg (19435, 2020-02-27)
pdf\.DS_Store (6148, 2020-02-27)
pdf\1.Intro_Math.pdf (1857510, 2020-02-27)
pdf\10.VI.pdf (1293981, 2020-02-27)
pdf\11.MCMC.pdf (752790, 2020-02-27)
pdf\12.HMM.pdf (1729014, 2020-02-27)
pdf\13.LDS.pdf (494242, 2020-02-27)
pdf\14.particleFilter.pdf (497287, 2020-02-27)
pdf\15.CRF.pdf (1245614, 2020-02-27)
pdf\16.GaussianNetwork.pdf (439472, 2020-02-27)
pdf\17.BayesianLR.pdf (524839, 2020-02-27)
pdf\18.GaussianProcess.pdf (1008638, 2020-02-27)
pdf\19.RBM.pdf (701493, 2020-02-27)
pdf\2.LinearRegression.pdf (796919, 2020-02-27)
pdf\20.Spectral.pdf (771561, 2020-02-27)
... ...

# MachineLearningNotes ## Reference 1. https://www.bilibili.com/video/av70839977?from=search&seid=17463814830541838470 2. [**P**attern **R**ecognition and **M**achine **L**earning](https://www.*microsoft*.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf ) GitHub 本身不支持公式,因此请下载到本地使用 [Typora](https://www.typora.io/)观看。 Update: 为了更好的效果,我将所有文档放在[语雀文档](https://www.yuque.com/books/share/f4031f65-70c1-4909-ba01-c47c313***466?#)里面了,欢迎大家评论。 The notes are from videos mostly. The markdown files are written with typora. The graphs and equations cannot be rendered properly due the lack of Mathjax/Mermaid support in GitHub. I do not know how to draw the PGM properly in markdown and here Mermaid is used.

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