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[] Udemy -Artificial Intelligence with Python

  • 收录时间:2019-11-28 10:58:25
  • 文件大小:4GB
  • 下载次数:94
  • 最近下载:2021-01-12 19:56:31
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文件列表

  1. 9. Logic Programming/1. Concept of Logic Programming.mp4 154MB
  2. 10. Heuristic Search/2. Local Search Technique.mp4 132MB
  3. 8. Classifiers/5. Naive Bayes Classifier and its Examples.mp4 126MB
  4. 11. Natural Language Processing/3. Raw Text Accessing (Tokenization).mp4 119MB
  5. 1. Chapter 1/1. Random Forest and Extremely Random Forest.mp4 117MB
  6. 2. Class Imbalance and Grid Search/2. Grid Search.mp4 110MB
  7. 11. Natural Language Processing/13. Chunking.mp4 106MB
  8. 10. Heuristic Search/6. Puzzle Solver.mp4 105MB
  9. 10. Heuristic Search/3. Constraint Satisfaction Problem.mp4 105MB
  10. 9. Logic Programming/3. Parsing Family Tree and its Example.mp4 101MB
  11. 11. Natural Language Processing/8. Segmentation.mp4 98MB
  12. 11. Natural Language Processing/16. Chunking wirh Regular Expression.mp4 96MB
  13. 12. Introduction/2. Introduction to Predictive Analysis.mp4 95MB
  14. 10. Heuristic Search/1. What is Heuristic Search.mp4 94MB
  15. 7. Gaussian Mixture Model/2. Program of Gaussian Mixture Model.mp4 92MB
  16. 11. Natural Language Processing/15. Chinking.mp4 88MB
  17. 3. Adaboost Regressor/1. Adaboost Regressor.mp4 86MB
  18. 2. Class Imbalance and Grid Search/1. Dealing with Class Imbalance.mp4 85MB
  19. 3. Adaboost Regressor/3. Traffic Prediction.mp4 84MB
  20. 12. Introduction/3. Shift Reduce Parsing.mp4 80MB
  21. 8. Classifiers/9. SVM Classifier Examples.mp4 79MB
  22. 11. Natural Language Processing/17. Named Entity Recognition.mp4 79MB
  23. 9. Logic Programming/2. Matching the Mathematical Expression.mp4 79MB
  24. 10. Heuristic Search/5. Building Maze.mp4 77MB
  25. 11. Natural Language Processing/7. Lemmatization.mp4 77MB
  26. 5. Affinity Propagation Model/1. Affinity Propagation Model.mp4 76MB
  27. 11. Natural Language Processing/4. NLP Pipeline and Its Example.mp4 75MB
  28. 4. Detecting patterns with Unsupervised Learning/1. Detecting patterns with Unsupervised Learning.mp4 75MB
  29. 11. Natural Language Processing/6. Stemming.mp4 72MB
  30. 11. Natural Language Processing/1. Natural Language Processing.mp4 71MB
  31. 6. Clustering Quality/2. Program of Clustering Quality.mp4 70MB
  32. 6. Clustering Quality/1. Clustering Quality.mp4 70MB
  33. 11. Natural Language Processing/14. Representation of Chunks.mp4 70MB
  34. 4. Detecting patterns with Unsupervised Learning/2. Clustering.mp4 70MB
  35. 11. Natural Language Processing/20. Recursive Descent Parsing.mp4 66MB
  36. 8. Classifiers/2. Processing Data.mp4 65MB
  37. 7. Gaussian Mixture Model/1. Gaussian Mixture Model.mp4 62MB
  38. 9. Logic Programming/4. Analyzing Geography Logic Programming.mp4 62MB
  39. 11. Natural Language Processing/18. Trees.mp4 62MB
  40. 8. Classifiers/4. Logistic Regression Classifier Example Using Python.mp4 62MB
  41. 9. Logic Programming/5. Puzzle Solver and its Example.mp4 61MB
  42. 4. Detecting patterns with Unsupervised Learning/4. Clustering Meanshift Continues.mp4 60MB
  43. 11. Natural Language Processing/2. Examine Text Using NLTK.mp4 60MB
  44. 4. Detecting patterns with Unsupervised Learning/3. Clustering Meanshift.mp4 55MB
  45. 10. Heuristic Search/4. Region Coloring Problem.mp4 53MB
  46. 8. Classifiers/6. Confusion Matrix.mp4 52MB
  47. 11. Natural Language Processing/5. Regular Expression with NLTK.mp4 51MB
  48. 11. Natural Language Processing/11. Information Extraction.mp4 51MB
  49. 5. Affinity Propagation Model/2. Affinity Propagation Model Continues.mp4 47MB
  50. 11. Natural Language Processing/12. Tag Patterns.mp4 47MB
  51. 8. Classifiers/7. Example os Confusion Matrix.mp4 46MB
  52. 8. Classifiers/8. Support Vector Machines Classifier(SVM).mp4 45MB
  53. 12. Introduction/1. Recursive Descent Parsing Continues.mp4 42MB
  54. 11. Natural Language Processing/19. Context Free Grammar.mp4 38MB
  55. 3. Adaboost Regressor/2. Predicting Traffic Using Extremely Random Forest Regressor.mp4 35MB
  56. 11. Natural Language Processing/10. Segmentation Example Continues.mp4 27MB
  57. 11. Natural Language Processing/9. Segmentation Example.mp4 23MB
  58. 8. Classifiers/1. Classification in Artificial Intelligence.mp4 21MB
  59. 8. Classifiers/3. Logistic Regression Classifier.mp4 17MB
  60. 9. Logic Programming/1. Concept of Logic Programming.vtt 13KB
  61. 11. Natural Language Processing/3. Raw Text Accessing (Tokenization).vtt 12KB
  62. 1. Chapter 1/1. Random Forest and Extremely Random Forest.vtt 12KB
  63. 8. Classifiers/5. Naive Bayes Classifier and its Examples.vtt 12KB
  64. 10. Heuristic Search/2. Local Search Technique.vtt 11KB
  65. 2. Class Imbalance and Grid Search/2. Grid Search.vtt 11KB
  66. 12. Introduction/3. Shift Reduce Parsing.vtt 11KB
  67. 11. Natural Language Processing/11. Information Extraction.vtt 11KB
  68. 11. Natural Language Processing/13. Chunking.vtt 10KB
  69. 12. Introduction/2. Introduction to Predictive Analysis.vtt 10KB
  70. 10. Heuristic Search/3. Constraint Satisfaction Problem.vtt 10KB
  71. 10. Heuristic Search/6. Puzzle Solver.vtt 10KB
  72. 9. Logic Programming/3. Parsing Family Tree and its Example.vtt 10KB
  73. 8. Classifiers/2. Processing Data.vtt 9KB
  74. 11. Natural Language Processing/15. Chinking.vtt 9KB
  75. 7. Gaussian Mixture Model/2. Program of Gaussian Mixture Model.vtt 9KB
  76. 11. Natural Language Processing/16. Chunking wirh Regular Expression.vtt 9KB
  77. 11. Natural Language Processing/18. Trees.vtt 8KB
  78. 12. Introduction/1. Recursive Descent Parsing Continues.vtt 8KB
  79. 8. Classifiers/9. SVM Classifier Examples.vtt 8KB
  80. 3. Adaboost Regressor/1. Adaboost Regressor.vtt 8KB
  81. 10. Heuristic Search/5. Building Maze.vtt 8KB
  82. 11. Natural Language Processing/20. Recursive Descent Parsing.vtt 7KB
  83. 10. Heuristic Search/1. What is Heuristic Search.vtt 7KB
  84. 4. Detecting patterns with Unsupervised Learning/2. Clustering.vtt 7KB
  85. 6. Clustering Quality/2. Program of Clustering Quality.vtt 7KB
  86. 11. Natural Language Processing/1. Natural Language Processing.vtt 7KB
  87. 3. Adaboost Regressor/3. Traffic Prediction.vtt 7KB
  88. 11. Natural Language Processing/4. NLP Pipeline and Its Example.vtt 7KB
  89. 4. Detecting patterns with Unsupervised Learning/4. Clustering Meanshift Continues.vtt 7KB
  90. 2. Class Imbalance and Grid Search/1. Dealing with Class Imbalance.vtt 7KB
  91. 9. Logic Programming/2. Matching the Mathematical Expression.vtt 7KB
  92. 11. Natural Language Processing/17. Named Entity Recognition.vtt 7KB
  93. 11. Natural Language Processing/8. Segmentation.vtt 7KB
  94. 11. Natural Language Processing/6. Stemming.vtt 7KB
  95. 8. Classifiers/4. Logistic Regression Classifier Example Using Python.vtt 7KB
  96. 11. Natural Language Processing/7. Lemmatization.vtt 6KB
  97. 4. Detecting patterns with Unsupervised Learning/1. Detecting patterns with Unsupervised Learning.vtt 6KB
  98. 5. Affinity Propagation Model/1. Affinity Propagation Model.vtt 6KB
  99. 9. Logic Programming/5. Puzzle Solver and its Example.vtt 6KB
  100. 8. Classifiers/7. Example os Confusion Matrix.vtt 6KB
  101. 11. Natural Language Processing/14. Representation of Chunks.vtt 6KB
  102. 9. Logic Programming/4. Analyzing Geography Logic Programming.vtt 6KB
  103. 8. Classifiers/8. Support Vector Machines Classifier(SVM).vtt 6KB
  104. 6. Clustering Quality/1. Clustering Quality.vtt 5KB
  105. 10. Heuristic Search/4. Region Coloring Problem.vtt 5KB
  106. 5. Affinity Propagation Model/2. Affinity Propagation Model Continues.vtt 5KB
  107. 11. Natural Language Processing/5. Regular Expression with NLTK.vtt 5KB
  108. 4. Detecting patterns with Unsupervised Learning/3. Clustering Meanshift.vtt 5KB
  109. 11. Natural Language Processing/2. Examine Text Using NLTK.vtt 5KB
  110. 7. Gaussian Mixture Model/1. Gaussian Mixture Model.vtt 5KB
  111. 11. Natural Language Processing/10. Segmentation Example Continues.vtt 5KB
  112. 8. Classifiers/6. Confusion Matrix.vtt 4KB
  113. 8. Classifiers/1. Classification in Artificial Intelligence.vtt 4KB
  114. 11. Natural Language Processing/19. Context Free Grammar.vtt 4KB
  115. 11. Natural Language Processing/12. Tag Patterns.vtt 4KB
  116. 8. Classifiers/3. Logistic Regression Classifier.vtt 3KB
  117. 11. Natural Language Processing/9. Segmentation Example.vtt 3KB
  118. 3. Adaboost Regressor/2. Predicting Traffic Using Extremely Random Forest Regressor.vtt 2KB
  119. [Tutorialsplanet.NET].url 128B