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Udemy - From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase (2015)
磁力链接/BT种子名称
Udemy - From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase (2015)
磁力链接/BT种子简介
种子哈希:
1d3a0a888cddd9a2947343f1663fb55cbe773e1f
文件大小:
2.87G
已经下载:
850
次
下载速度:
极快
收录时间:
2020-07-02
最近下载:
2024-11-27
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磁力链接下载
magnet:?xt=urn:btih:1D3A0A888CDDD9A2947343F1663FB55CBE773E1F
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文件列表
12_-_Natural_Language_Processing_and_Python/25_-_Put_it_to_work_-_News_Article_Classification_using_K-Nearest_Neighbors.mp4
155.2 MB
10_-_Artificial_Neural_Networks/21_-_Artificial_Neural_Networks_I_Perceptron_introduced_via_Support_Vector_Machines_.mp4
152.1 MB
12_-_Natural_Language_Processing_and_Python/26_-_Put_it_to_work_-_News_Article_Classification_using_Naive_Bayes_Classifier.mp4
147.5 MB
09_-_Dimensionality_Reduction/19_-_Dimensionality_Reduction.mp4
133.7 MB
03_-_Classification_-_A_form_of_supervised_learning/06_-_Classification_-_Problems_and_Techniques.mp4
133.7 MB
01_-_Introduction/01_-_What_this_course_is_about.mp4
131.2 MB
09_-_Dimensionality_Reduction/20_-_Principal_Component_Analysis.mp4
130.8 MB
02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/03_-_Plunging_In_-_Machine_Learning_Approaches_to_Spam_Detection.mp4
127.7 MB
06_-_Support_Vector_Machines/16_-_Support_Vector_Machines_-_Maximum_Margin_Hyperplane_and_Kernel_Trick.mp4
126.7 MB
02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/05_-_Get_the_Lay_of_the_Land_-_Types_of_Machine_Learning_Problems.mp4
125.9 MB
04_-_Naive_Bayes_Classifier/08_-_Random_Variables.mp4
125.0 MB
07_-_Clustering_as_a_form_Unsupervised_learning/17_-_Clustering_-_Problems_and_Techniques.mp4
124.8 MB
02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/04_-_Spam_Detection_with_Machine_Learning_Continued.mp4
122.8 MB
05_-_K-Nearest_Neighbors/14_-_K-Nearest_Neighbors_-_A_few_wrinkles.mp4
120.3 MB
02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/02_-_Machine_Learning_-_Why_should_you_jump_on_the_bandwagon.mp4
112.9 MB
12_-_Natural_Language_Processing_and_Python/28_-_Put_it_to_work_-_News_Article_Clustering_with_K-Means_and_TF-IDF.mp4
112.4 MB
11_-_Regression_as_a_form_of_supervised_learning/23_-_Regression_Introduced_-_Linear_and_Logistic_Regression.mp4
103.8 MB
04_-_Naive_Bayes_Classifier/11_-_Naive_Bayes_Classifier_-_An_example.mp4
100.6 MB
12_-_Natural_Language_Processing_and_Python/24_-_A_Serious_NLP_Application_-_Text_Auto_Summarization_using_Python.mp4
95.5 MB
05_-_K-Nearest_Neighbors/13_-_K-Nearest_Neighbors.mp4
93.0 MB
04_-_Naive_Bayes_Classifier/09_-_Bayes_Theorem.mp4
87.7 MB
12_-_Natural_Language_Processing_and_Python/27_-_Document_Distance_using_TF-IDF.mp4
82.9 MB
04_-_Naive_Bayes_Classifier/10_-_Naive_Bayes_Classifier.mp4
77.6 MB
03_-_Classification_-_A_form_of_supervised_learning/07_-_Bias_Variance_Trade-off.mp4
77.4 MB
08_-_Association_Detection/18_-_Association_Rules_Learning.mp4
75.4 MB
04_-_Naive_Bayes_Classifier/12_-_Naive_Bayes_Classifier_-_Application_to_spam_detection.mp4
72.1 MB
06_-_Support_Vector_Machines/15_-_Support_Vector_Machines_Introduced.mp4
71.0 MB
10_-_Artificial_Neural_Networks/22_-_Perceptron_-_How_it_works.mp4
60.4 MB
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