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徐亦达机器学习课程

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2017-07-31 21:50:18
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https://www.youtube.com/channel/UConITmGn5PFr0hxTI2tWD4Q 适合与 PRML 9、10、11、13 章一起食用 已获徐亦达老师授权。
公开课
Machine Learning
机器学习
GrokCV 发消息
分享一下小伙伴们的学习内容
视频选集
（1/72）
01 - Expectation Maximisation (part 1)
08:32
02 - Expectation Maximisation (part 2)
18:45
03 - Expectation Maximisation (part 3)
20:53
04 - Expectation Maximisation (part 4)
18:57
05 - Expectation Maximisation (part 5)
11:21
06 - Expectation Maximisation (part 6)
14:11
07 - Expectation Maximisation (part 7)
21:29
08 - Expectation Maximisation (part 8) demo
02:28
09 - Hidden Markov Model (part 1)
18:00
10 - Hidden Markov Model (part 2)
18:32
11 - Hidden Markov Model (part 3)
11:32
12 - Hidden Markov Model (part 4)
19:41
13 - Hidden Markov Model (part 5)
18:47
14 - Hidden Markov Model (part 6)
07:24
15 - Markov Chain Monte Carlo (part 1)
11:26
16 - Markov Chain Monte Carlo (part 2)
15:41
17 - Markov Chain Monte Carlo (part 3)
10:39
18 - Markov Chain Monte Carlo (part 4)
21:07
19 - Markov Chain Monte Carlo (part 5)
11:55
20 - Markov Chain Monte Carlo (part 6)
14:38
21 - Markov Chain Monte Carlo (part 7)
20:50
22 - Markov Chain Monte Carlo (part 8) demo
03:19
23 - slice sampling (part 1)
14:50
24 - Slice Sampling (Part 2)
10:48
25 - Slice Sampling (Part 3)
08:31
26 - Slice Sampling (Part 4)_bilibili
15:13
27 - Variational Inference Basics (part 1)
15:46
28 - Variational Inference Basics (part 2)
13:52
29 - Variational Inference Basics (part 3)
18:43
30 - Variational Inference Basics (part 4)
08:53
31 - Variational Inference Basics (part 5)
18:21
32 - Variational Inference Basics (part 6)
12:33
33 - Variational Inference for LDA (part 1)
21:00
34 - Variational Inference for LDA (part 2)
15:12
35 - Variational Inference for LDA (part 3)
11:16
36 - Variational Inference for LDA (part 4)
19:34
37 - Variational Inference Exponential Family (part 1)
10:30
38 - Variational Inference Exponential Family (part 2)
11:20
39 - Variational Inference Exponential Family (part 3)
16:30
40 - Variational Inference Exponential Family (part 4)
08:54
41 - Variational Inference Exponential Family (part 5)
14:36
42 - Variational Inference Exponential Family (part 6)
17:55
43 - Variational Inference Exponential Family (part 7)
14:59
44 - Variational Inference Exponential Family (part 8)
14:28
45 - Variational Inference Exponential Family (part 9)
11:58
46 - Variational Inference Exponential Family (part 10)
11:51
47 - Variational Inference Exponential Family (part 11)
17:17
48 - Kalman Filter (part 1)
08:58
49 - Kalman Filter (part 2)
15:23
50 - Kalman Filter (part 3)
10:41
51 - Kalman Filter (part 4)
13:35
52 - Kalman Filter (part 5)
14:06
53 - Kalman Filter (part 6)
17:04
54 - Kalman Filter (part 7)
15:13
55 - Particle Filter (part 1)
12:42
56 - Particle Filter (part 2)
09:15
57 - Particle Filter (part 3)
14:31
58 - Particle Filter (part 4)
15:26
59 - Particle Filter (part 5)
16:05
60 - Particle Filter (part 6)
06:06
61 - Particle Filter (part 7)
11:36
62 - Particle Filter (part 8)
13:06
63 - Dirichlet Process (Part 1)
16:00
64 - Dirichlet Process (Part 2)
17:15
65 - Dirichlet Process (Part 3)
11:31
66 - Dirichlet Process (part 4)
14:40
67 - Dirichlet Process (part 5)
10:42
68 - Dirichlet Process (part 6)
08:02
69 - Dirichlet Process (part 7)
11:46
70 - Dirichlet Process (part 8)
12:31
71 - Dirichlet Process (part 9)
10:22
72 - Dirichlet Process demo
05:47

【算法比赛】PRCV 2024 广域红外小目标检测挑战赛优胜方案
GrokCV
3491 0

【文献分享】软阈值迭代算法 ISTA 简介
GrokCV
3646 4

【文献梳理】混合专家模型 MoE：从基础到前沿
GrokCV
4191 0

SPP 新芽训练营 从零开始的本科生科研启蒙之旅
GrokCV
885 0

【讨论班】Step-by-Step Diffusion - An Elementary Tutorial (1)
GrokCV
3068 3

【文献梳理】稀疏表示优化求解：从凸优化到深度展开
GrokCV
4145 3

【文献梳理】（特邀）大模型微调总结及实现
GrokCV
7963 5

【新芽播种】基于预训练模型与提示调优的持续学习方法
GrokCV
455 0

【讨论班】生成式扩散模型综述
GrokCV
4388 0

【工作分享】SCTransNet：面向红外弱小目标检测的空间 - 通道交叉 Transformer
GrokCV
5306 1

【工作分享】LSKNet：用于遥感任务的基础轻量级骨干网络
GrokCV
4024 1

【文献梳理】稀疏表示求解：从凸优化到深度展开
GrokCV
4145 0

【文献梳理】可变形卷积：原理、演进及其在目标检测中的应用
GrokCV
8331 0

【技术分享】快速上手 MMDetection · 第三期： 检测头总览与 Anchor-Free
GrokCV
512 0

【文献梳理】CLIP：基本方法、下游应用与模型微调
GrokCV
1.1万 0

【文献梳理】（特邀）弱监督语义分割研究现状
GrokCV
3834 3
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