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- 【压缩文件】 2014斯坦福大学机器学习mkv视频
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收录时间:2017-06-09
文档个数:585
文档大小:2.3 GB
最近下载:2024-01-05
人气:38
磁力链接
1 - 1 - Welcome (7 min).mkv 12.3 MB- 1 - 2 - What is Machine Learning_ (7 min).mkv 9.7 MB
- 1 - 3 - Supervised Learning (12 min).mkv 13.9 MB
- 1 - 4 - Unsupervised Learning (14 min).mkv 17.2 MB
- 10 - 1 - Deciding What to Try Next (6 min).mkv 7.1 MB
- 10 - 2 - Evaluating a Hypothesis (8 min).mkv 8.8 MB
- 10 - 3 - Model Selection and Train_Validation_Test Sets (12 min).mkv 15.6 MB
- 10 - 4 - Diagnosing Bias vs. Variance (8 min).mkv 9.3 MB
- 10 - 5 - Regularization and Bias_Variance (11 min).mkv 13.0 MB
- 10 - 6 - Learning Curves (12 min).mkv 13.4 MB
- 10 - 7 - Deciding What to Do Next Revisited (7 min).mkv 8.5 MB
- 11 - 1 - Prioritizing What to Work On (10 min).mkv 11.6 MB
- 11 - 2 - Error Analysis (13 min).mkv 16.0 MB
- 11 - 3 - Error Metrics for Skewed Classes (12 min).mkv 13.7 MB
- 11 - 4 - Trading Off Precision and Recall (14 min).mkv 16.5 MB
- 11 - 5 - Data For Machine Learning (11 min).mkv 13.3 MB
- 12 - 1 - Optimization Objective (15 min).mkv 17.2 MB
- 12 - 2 - Large Margin Intuition (11 min).mkv 12.2 MB
- 12 - 3 - Mathematics Behind Large Margin Classification (Optional) (20 min).mkv 22.6 MB
- 12 - 4 - Kernels I (16 min).mkv 18.2 MB
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2014
斯坦福大学
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机器
学习
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