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Udemy - Introduction to Machine Learning & Face Detection in Python (2015)
magnet:?xt=urn:btih:3e778063b77a5dd176de66a0fd5daea5b9bbb57e&dn=Udemy - Introduction to Machine Learning & Face Detection in Python (2015)
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文件列表详情
3e778063b77a5dd176de66a0fd5daea5b9bbb57e
infohash:
40
文件数量
864.3 MB
文件大小
2017-8-17 13:20
创建日期
2024-11-10 05:48
最后访问
相关分词
Udemy
-
Introduction
to
Machine
Learning
&
Face
Detection
in
Python
2015
08 Neural Networks/005 Applications of neural networks.mp4 23.33 MB
08 Neural Networks/007 Neural network example - XOR problem.mp4 24.98 MB
08 Neural Networks/002 Simple example - logical AND table.mp4 11.27 MB
08 Neural Networks/001 Neural network introduction.mp4 15.45 MB
08 Neural Networks/003 Training a neural network.mp4 33.33 MB
08 Neural Networks/004 Complex neural networks.mp4 32.42 MB
08 Neural Networks/006 Deep learning.mp4 10.56 MB
06 Tree Based Algorithms/008 Random forests example II - enhance decision trees.mp4 8.82 MB
06 Tree Based Algorithms/007 Random forests example I.mp4 8.9 MB
06 Tree Based Algorithms/004 Pruning and bagging.mp4 13.41 MB
06 Tree Based Algorithms/002 Decision trees example I.mp4 5.79 MB
06 Tree Based Algorithms/003 Decision trees example II - iris data.mp4 49.68 MB
06 Tree Based Algorithms/001 Decision trees introduction.mp4 38.22 MB
06 Tree Based Algorithms/006 Boosting.mp4 11.39 MB
06 Tree Based Algorithms/005 Random forests introduction.mp4 9.63 MB
02 Regression/005 Logistic regression example I - sigmoid function.mp4 46.1 MB
02 Regression/003 Logistic regression introduction.mp4 42.61 MB
02 Regression/004 Cross validation.mp4 18.91 MB
02 Regression/001 Linear regression introduction.mp4 29.93 MB
02 Regression/006 Logistic regression example II.mp4 15.94 MB
02 Regression/002 Linear regression example.mp4 28.99 MB
02 Regression/007 Logistic regression example III - credit scoring.mp4 51.28 MB
01 Introduction/001 Introduction.mp4 6.05 MB
01 Introduction/002 Introduction to machine learning.mp4 20.36 MB
07 Clustering/003 K-means clustering example.mp4 17.13 MB
07 Clustering/001 Principal component anlysis introduction.mp4 11.93 MB
07 Clustering/004 DBSCAN introduction.mp4 23.68 MB
07 Clustering/006 Hierarchical clustering example.mp4 13.59 MB
07 Clustering/002 K-means clustering introduction.mp4 31.73 MB
07 Clustering/005 Hierarchical clustering introduction.mp4 20.96 MB
04 Naive Bayes Classifier/001 Naive Bayes introduction.mp4 43.58 MB
04 Naive Bayes Classifier/002 Naive Bayes example.mp4 20.41 MB
03 K-Nearest Neighbor Classifier/002 kNN introduction - normalize data.mp4 9.81 MB
03 K-Nearest Neighbor Classifier/003 kNN example I.mp4 8.68 MB
03 K-Nearest Neighbor Classifier/004 kNN example II.mp4 7.56 MB
03 K-Nearest Neighbor Classifier/001 kNN introduction.mp4 35.76 MB
05 Support Vevtor Machine SVM/001 Support vector machine introduction.mp4 24.12 MB
05 Support Vevtor Machine SVM/002 Support vector machine example I.mp4 10.71 MB
05 Support Vevtor Machine SVM/003 Support vector machine example II - image recognition.mp4 22.84 MB
09 Outro/001 Final words.mp4 4.46 MB
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