Udemy - Introduction to Machine Learning & Face Detection in Python (2015)
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2017-8-17 13:20 | 2024-6-26 08:59 | 191 | 864.3 MB | 40 |
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文件列表
- 08 Neural Networks/005 Applications of neural networks.mp423.33MB
- 08 Neural Networks/007 Neural network example - XOR problem.mp424.98MB
- 08 Neural Networks/002 Simple example - logical AND table.mp411.27MB
- 08 Neural Networks/001 Neural network introduction.mp415.45MB
- 08 Neural Networks/003 Training a neural network.mp433.33MB
- 08 Neural Networks/004 Complex neural networks.mp432.42MB
- 08 Neural Networks/006 Deep learning.mp410.56MB
- 06 Tree Based Algorithms/008 Random forests example II - enhance decision trees.mp48.82MB
- 06 Tree Based Algorithms/007 Random forests example I.mp48.9MB
- 06 Tree Based Algorithms/004 Pruning and bagging.mp413.41MB
- 06 Tree Based Algorithms/002 Decision trees example I.mp45.79MB
- 06 Tree Based Algorithms/003 Decision trees example II - iris data.mp449.68MB
- 06 Tree Based Algorithms/001 Decision trees introduction.mp438.22MB
- 06 Tree Based Algorithms/006 Boosting.mp411.39MB
- 06 Tree Based Algorithms/005 Random forests introduction.mp49.63MB
- 02 Regression/005 Logistic regression example I - sigmoid function.mp446.1MB
- 02 Regression/003 Logistic regression introduction.mp442.61MB
- 02 Regression/004 Cross validation.mp418.91MB
- 02 Regression/001 Linear regression introduction.mp429.93MB
- 02 Regression/006 Logistic regression example II.mp415.94MB
- 02 Regression/002 Linear regression example.mp428.99MB
- 02 Regression/007 Logistic regression example III - credit scoring.mp451.28MB
- 01 Introduction/001 Introduction.mp46.05MB
- 01 Introduction/002 Introduction to machine learning.mp420.36MB
- 07 Clustering/003 K-means clustering example.mp417.13MB
- 07 Clustering/001 Principal component anlysis introduction.mp411.93MB
- 07 Clustering/004 DBSCAN introduction.mp423.68MB
- 07 Clustering/006 Hierarchical clustering example.mp413.59MB
- 07 Clustering/002 K-means clustering introduction.mp431.73MB
- 07 Clustering/005 Hierarchical clustering introduction.mp420.96MB
- 04 Naive Bayes Classifier/001 Naive Bayes introduction.mp443.58MB
- 04 Naive Bayes Classifier/002 Naive Bayes example.mp420.41MB
- 03 K-Nearest Neighbor Classifier/002 kNN introduction - normalize data.mp49.81MB
- 03 K-Nearest Neighbor Classifier/003 kNN example I.mp48.68MB
- 03 K-Nearest Neighbor Classifier/004 kNN example II.mp47.56MB
- 03 K-Nearest Neighbor Classifier/001 kNN introduction.mp435.76MB
- 05 Support Vevtor Machine SVM/001 Support vector machine introduction.mp424.12MB
- 05 Support Vevtor Machine SVM/002 Support vector machine example I.mp410.71MB
- 05 Support Vevtor Machine SVM/003 Support vector machine example II - image recognition.mp422.84MB
- 09 Outro/001 Final words.mp44.46MB
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