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Udemy - From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase (2015)
magnet:?xt=urn:btih:1d3a0a888cddd9a2947343f1663fb55cbe773e1f&dn=Udemy - From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase (2015)
磁力链接详情
Hash值:
1d3a0a888cddd9a2947343f1663fb55cbe773e1f
点击数:
256
文件大小:
2.87 GB
文件数量:
28
创建日期:
2017-6-8 07:59
最后访问:
2024-6-20 12:41
访问标签:
Udemy
-
From
0
to
1
Machine
Learning
NLP
&
Python-Cut
to
the
Chase
2015
文件列表详情
10_-_Artificial_Neural_Networks/22_-_Perceptron_-_How_it_works.mp4 57.64 MB
06_-_Support_Vector_Machines/15_-_Support_Vector_Machines_Introduced.mp4 67.69 MB
04_-_Naive_Bayes_Classifier/12_-_Naive_Bayes_Classifier_-_Application_to_spam_detection.mp4 68.76 MB
08_-_Association_Detection/18_-_Association_Rules_Learning.mp4 71.87 MB
03_-_Classification_-_A_form_of_supervised_learning/07_-_Bias_Variance_Trade-off.mp4 73.82 MB
04_-_Naive_Bayes_Classifier/10_-_Naive_Bayes_Classifier.mp4 74.01 MB
12_-_Natural_Language_Processing_and_Python/27_-_Document_Distance_using_TF-IDF.mp4 79.09 MB
04_-_Naive_Bayes_Classifier/09_-_Bayes_Theorem.mp4 83.68 MB
05_-_K-Nearest_Neighbors/13_-_K-Nearest_Neighbors.mp4 88.65 MB
12_-_Natural_Language_Processing_and_Python/24_-_A_Serious_NLP_Application_-_Text_Auto_Summarization_using_Python.mp4 91.1 MB
04_-_Naive_Bayes_Classifier/11_-_Naive_Bayes_Classifier_-_An_example.mp4 95.9 MB
11_-_Regression_as_a_form_of_supervised_learning/23_-_Regression_Introduced_-_Linear_and_Logistic_Regression.mp4 99.03 MB
12_-_Natural_Language_Processing_and_Python/28_-_Put_it_to_work_-_News_Article_Clustering_with_K-Means_and_TF-IDF.mp4 107.16 MB
02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/02_-_Machine_Learning_-_Why_should_you_jump_on_the_bandwagon.mp4 107.64 MB
05_-_K-Nearest_Neighbors/14_-_K-Nearest_Neighbors_-_A_few_wrinkles.mp4 114.72 MB
02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/04_-_Spam_Detection_with_Machine_Learning_Continued.mp4 117.09 MB
07_-_Clustering_as_a_form_Unsupervised_learning/17_-_Clustering_-_Problems_and_Techniques.mp4 119 MB
04_-_Naive_Bayes_Classifier/08_-_Random_Variables.mp4 119.2 MB
02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/05_-_Get_the_Lay_of_the_Land_-_Types_of_Machine_Learning_Problems.mp4 120.06 MB
06_-_Support_Vector_Machines/16_-_Support_Vector_Machines_-_Maximum_Margin_Hyperplane_and_Kernel_Trick.mp4 120.83 MB
02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/03_-_Plunging_In_-_Machine_Learning_Approaches_to_Spam_Detection.mp4 121.81 MB
09_-_Dimensionality_Reduction/20_-_Principal_Component_Analysis.mp4 124.77 MB
01_-_Introduction/01_-_What_this_course_is_about.mp4 125.09 MB
03_-_Classification_-_A_form_of_supervised_learning/06_-_Classification_-_Problems_and_Techniques.mp4 127.5 MB
09_-_Dimensionality_Reduction/19_-_Dimensionality_Reduction.mp4 127.51 MB
12_-_Natural_Language_Processing_and_Python/26_-_Put_it_to_work_-_News_Article_Classification_using_Naive_Bayes_Classifier.mp4 140.68 MB
10_-_Artificial_Neural_Networks/21_-_Artificial_Neural_Networks_I_Perceptron_introduced_via_Support_Vector_Machines_.mp4 145.07 MB
12_-_Natural_Language_Processing_and_Python/25_-_Put_it_to_work_-_News_Article_Classification_using_K-Nearest_Neighbors.mp4 148 MB
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