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  1. 根目录
  2. 知识教程更新库【500T初始】
  3. 【IT专区】
  4. 00.新课
  5. 2020
  6. 09月
  7. 打包8套机器学习课程
  8. 机器学习基石_国立台湾大学(林轩田)
文件 时间 大小 操作
1 - 1 - Course Introduction (10-58)(1).mp4 2022-09-03 11:52:17 13.79 MB
1 - 2 - What is Machine Learning (18-28).mp4 2022-09-03 11:52:17 15.94 MB
1 - 3 - Applications of Machine Learning (18-56)(1).mp4 2022-09-03 11:52:17 22.31 MB
1 - 4 - Components of Machine Learning (11-45)(1).mp4 2022-09-03 11:52:17 10.66 MB
1 - 5 - Machine Learning and Other Fields (10-21)(1).mp4 2022-09-03 11:52:17 11.97 MB
10 - 1 - Logistic Regression Problem (14-33).mp4 2022-09-03 11:52:17 11.94 MB
10 - 2 - Logistic Regression Error (15-58).mp4 2022-09-03 11:52:17 11.96 MB
10 - 3 - Gradient of Logistic Regression Error (15-38).mp4 2022-09-03 11:52:17 12.37 MB
10 - 4 - Gradient Descent (19-18)(1).mp4 2022-09-03 11:52:17 14.91 MB
11 - 1 - Linear Models for Binary Classification (21-35).mp4 2022-09-03 11:52:17 16.91 MB
11 - 2 - Stochastic Gradient Descent (11-39).mp4 2022-09-03 11:52:17 9.96 MB
11 - 3 - Multiclass via Logistic Regression (14-18).mp4 2022-09-03 11:52:17 11.28 MB
11 - 4 - Multiclass via Binary Classification (11-35).mp4 2022-09-03 11:52:17 9.36 MB
12 - 1 - Quadratic Hypothesis (23-47).mp4 2022-09-03 11:52:17 17.92 MB
12 - 2 - Nonlinear Transform (09-52).mp4 2022-09-03 11:52:17 8.03 MB
12 - 3 - Price of Nonlinear Transform (15-37).mp4 2022-09-03 11:52:17 12.55 MB
12 - 4 - Structured Hypothesis Sets (09-36).mp4 2022-09-03 11:52:17 7.31 MB
13 - 1 - What is Overfitting- (10-45).mp4 2022-09-03 11:52:17 9.01 MB
13 - 2 - The Role of Noise and Data Size (13-36).mp4 2022-09-03 11:52:17 11.4 MB
13 - 3 - Deterministic Noise (14-07).mp4 2022-09-03 11:52:17 11.92 MB
13 - 4 - Dealing with Overfitting (10-49).mp4 2022-09-03 11:52:17 8.81 MB
14 - 1 - Regularized Hypothesis Set (19-16).mp4 2022-09-03 11:52:17 15.18 MB
14 - 2 - Weight Decay Regularization (24-08).mp4 2022-09-03 11:52:17 18.54 MB
14 - 3 - Regularization and VC Theory (08-15).mp4 2022-09-03 11:52:17 7.14 MB
14 - 4 - General Regularizers (13-28).mp4 2022-09-03 11:52:17 11.24 MB
15 - 1 - Model Selection Problem (16-00).mp4 2022-09-03 11:52:17 13.26 MB
15 - 2 - Validation (13-24).mp4 2022-09-03 11:52:17 10.47 MB
15 - 3 - Leave-One-Out Cross Validation (16-06).mp4 2022-09-03 11:52:17 12.27 MB
15 - 4 - V-Fold Cross Validation (10-41).mp4 2022-09-03 11:52:17 9.17 MB
16 - 1 - Occam-s Razor (10-08).mp4 2022-09-03 11:52:17 8.21 MB
16 - 2 - Sampling Bias (11-50).mp4 2022-09-03 11:52:17 10.26 MB
16 - 3 - Data Snooping (12-28).mp4 2022-09-03 11:52:17 10.8 MB
16 - 4 - Power of Three (08-49).mp4 2022-09-03 11:52:17 7.55 MB
2 - 1 - Perceptron Hypothesis Set (15-42).mp4 2022-09-03 11:52:17 18.55 MB
2 - 2 - Perceptron Learning Algorithm (PLA) (19-46).mp4 2022-09-03 11:52:17 16.61 MB
2 - 3 - Guarantee of PLA (12-37).mp4 2022-09-03 11:52:17 14.45 MB
2 - 4 - Non-Separable Data (12-55).mp4 2022-09-03 11:52:17 33.75 MB
3 - 1 - Learning with Different Output Space (17-26).mp4 2022-09-03 11:52:17 16.16 MB
3 - 2 - Learning with Different Data Label (18-12).mp4 2022-09-03 11:52:17 50.14 MB
3 - 3 - Learning with Different Protocol (11-09).mp4 2022-09-03 11:52:17 31.41 MB
3 - 4 - Learning with Different Input Space (14-13).mp4 2022-09-03 11:52:17 40.89 MB
4 - 1 - Learning is Impossible- (13-32).mp4 2022-09-03 11:52:17 11.47 MB
4 - 2 - Probability to the Rescue (11-33).mp4 2022-09-03 11:52:17 9.86 MB
4 - 3 - Connection to Learning (16-46).mp4 2022-09-03 11:52:17 14.29 MB
4 - 4 - Connection to Real Learning (18-06).mp4 2022-09-03 11:52:17 15.05 MB
5 - 1 - Recap and Preview (13-44).mp4 2022-09-03 11:52:17 11.35 MB
5 - 2 - Effective Number of Lines (15-26).mp4 2022-09-03 11:52:17 12.57 MB
5 - 3 - Effective Number of Hypotheses (16-17).mp4 2022-09-03 11:52:17 13.12 MB
5 - 4 - Break Point (07-44).mp4 2022-09-03 11:52:17 6.6 MB
6 - 1 - Restriction of Break Point (14-18).mp4 2022-09-03 11:52:17 11.52 MB
6 - 2 - Bounding Function- Basic Cases (06-56).mp4 2022-09-03 11:52:17 5.5 MB
6 - 3 - Bounding Function- Inductive Cases (14-47).mp4 2022-09-03 11:52:17 11.64 MB
6 - 4 - A Pictorial Proof (16-01).mp4 2022-09-03 11:52:17 12.85 MB
7 - 1 - Definition of VC Dimension (13-10).mp4 2022-09-03 11:52:17 10.67 MB
7 - 2 - VC Dimension of Perceptrons (13-27).mp4 2022-09-03 11:52:17 9.97 MB
7 - 3 - Physical Intuition of VC Dimension (6-11).mp4 2022-09-03 11:52:17 5.16 MB
7 - 4 - Interpreting VC Dimension (17-13).mp4 2022-09-03 11:52:17 13.55 MB
8 - 1 - Noise and Probabilistic Target (17-01).mp4 2022-09-03 11:52:17 13.93 MB
8 - 2 - Error Measure (15-10).mp4 2022-09-03 11:52:17 11.4 MB
8 - 3 - Algorithmic Error Measure (13-46).mp4 2022-09-03 11:52:17 10.98 MB
8 - 4 - Weighted Classification (16-54).mp4 2022-09-03 11:52:17 13.11 MB
9 - 1 - Linear Regression Problem (10-08).mp4 2022-09-03 11:52:17 8.04 MB
9 - 2 - Linear Regression Algorithm (20-03).mp4 2022-09-03 11:52:17 14.51 MB
9 - 3 - Generalization Issue (20-34).mp4 2022-09-03 11:52:17 15.28 MB
9 - 4 - Linear Regression for Binary Classification (11-23).mp4 2022-09-03 11:52:17 9.05 MB