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Udemy - From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase (2015)

  • 收录时间:2018-03-16 17:10:21
  • 文件大小:3GB
  • 下载次数:131
  • 最近下载:2020-12-24 11:18:19
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文件列表

  1. 12_-_Natural_Language_Processing_and_Python/25_-_Put_it_to_work_-_News_Article_Classification_using_K-Nearest_Neighbors.mp4 148MB
  2. 10_-_Artificial_Neural_Networks/21_-_Artificial_Neural_Networks_I_Perceptron_introduced_via_Support_Vector_Machines_.mp4 145MB
  3. 12_-_Natural_Language_Processing_and_Python/26_-_Put_it_to_work_-_News_Article_Classification_using_Naive_Bayes_Classifier.mp4 141MB
  4. 09_-_Dimensionality_Reduction/19_-_Dimensionality_Reduction.mp4 128MB
  5. 03_-_Classification_-_A_form_of_supervised_learning/06_-_Classification_-_Problems_and_Techniques.mp4 128MB
  6. 01_-_Introduction/01_-_What_this_course_is_about.mp4 125MB
  7. 09_-_Dimensionality_Reduction/20_-_Principal_Component_Analysis.mp4 125MB
  8. 02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/03_-_Plunging_In_-_Machine_Learning_Approaches_to_Spam_Detection.mp4 122MB
  9. 06_-_Support_Vector_Machines/16_-_Support_Vector_Machines_-_Maximum_Margin_Hyperplane_and_Kernel_Trick.mp4 121MB
  10. 02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/05_-_Get_the_Lay_of_the_Land_-_Types_of_Machine_Learning_Problems.mp4 120MB
  11. 04_-_Naive_Bayes_Classifier/08_-_Random_Variables.mp4 119MB
  12. 07_-_Clustering_as_a_form_Unsupervised_learning/17_-_Clustering_-_Problems_and_Techniques.mp4 119MB
  13. 02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/04_-_Spam_Detection_with_Machine_Learning_Continued.mp4 117MB
  14. 05_-_K-Nearest_Neighbors/14_-_K-Nearest_Neighbors_-_A_few_wrinkles.mp4 115MB
  15. 02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/02_-_Machine_Learning_-_Why_should_you_jump_on_the_bandwagon.mp4 108MB
  16. 12_-_Natural_Language_Processing_and_Python/28_-_Put_it_to_work_-_News_Article_Clustering_with_K-Means_and_TF-IDF.mp4 107MB
  17. 11_-_Regression_as_a_form_of_supervised_learning/23_-_Regression_Introduced_-_Linear_and_Logistic_Regression.mp4 99MB
  18. 04_-_Naive_Bayes_Classifier/11_-_Naive_Bayes_Classifier_-_An_example.mp4 96MB
  19. 12_-_Natural_Language_Processing_and_Python/24_-_A_Serious_NLP_Application_-_Text_Auto_Summarization_using_Python.mp4 91MB
  20. 05_-_K-Nearest_Neighbors/13_-_K-Nearest_Neighbors.mp4 89MB
  21. 04_-_Naive_Bayes_Classifier/09_-_Bayes_Theorem.mp4 84MB
  22. 12_-_Natural_Language_Processing_and_Python/27_-_Document_Distance_using_TF-IDF.mp4 79MB
  23. 04_-_Naive_Bayes_Classifier/10_-_Naive_Bayes_Classifier.mp4 74MB
  24. 03_-_Classification_-_A_form_of_supervised_learning/07_-_Bias_Variance_Trade-off.mp4 74MB
  25. 08_-_Association_Detection/18_-_Association_Rules_Learning.mp4 72MB
  26. 04_-_Naive_Bayes_Classifier/12_-_Naive_Bayes_Classifier_-_Application_to_spam_detection.mp4 69MB
  27. 06_-_Support_Vector_Machines/15_-_Support_Vector_Machines_Introduced.mp4 68MB
  28. 10_-_Artificial_Neural_Networks/22_-_Perceptron_-_How_it_works.mp4 58MB