[Tutorialsplanet.NET] Udemy -Artificial Intelligence with Python

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[Tutorialsplanet.NET] Udemy -Artificial Intelligence with Python

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收录时间：2020-02-14
最近下载：2025-10-11

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文件列表

  • 9. Logic Programming/1. Concept of Logic Programming.mp4 161.6 MB
  • 10. Heuristic Search/2. Local Search Technique.mp4 138.5 MB
  • 8. Classifiers/5. Naive Bayes Classifier and its Examples.mp4 132.6 MB
  • 11. Natural Language Processing/3. Raw Text Accessing (Tokenization).mp4 124.8 MB
  • 1. Chapter 1/1. Random Forest and Extremely Random Forest.mp4 122.5 MB
  • 2. Class Imbalance and Grid Search/2. Grid Search.mp4 115.7 MB
  • 11. Natural Language Processing/13. Chunking.mp4 111.3 MB
  • 10. Heuristic Search/6. Puzzle Solver.mp4 110.2 MB
  • 10. Heuristic Search/3. Constraint Satisfaction Problem.mp4 110.1 MB
  • 9. Logic Programming/3. Parsing Family Tree and its Example.mp4 105.4 MB
  • 11. Natural Language Processing/8. Segmentation.mp4 103.0 MB
  • 11. Natural Language Processing/16. Chunking wirh Regular Expression.mp4 100.3 MB
  • 12. Introduction/2. Introduction to Predictive Analysis.mp4 100.1 MB
  • 10. Heuristic Search/1. What is Heuristic Search.mp4 98.0 MB
  • 7. Gaussian Mixture Model/2. Program of Gaussian Mixture Model.mp4 96.1 MB
  • 11. Natural Language Processing/15. Chinking.mp4 92.2 MB
  • 3. Adaboost Regressor/1. Adaboost Regressor.mp4 90.6 MB
  • 2. Class Imbalance and Grid Search/1. Dealing with Class Imbalance.mp4 89.4 MB
  • 3. Adaboost Regressor/3. Traffic Prediction.mp4 88.2 MB
  • 12. Introduction/3. Shift Reduce Parsing.mp4 84.1 MB
  • 8. Classifiers/9. SVM Classifier Examples.mp4 82.9 MB
  • 11. Natural Language Processing/17. Named Entity Recognition.mp4 82.5 MB
  • 9. Logic Programming/2. Matching the Mathematical Expression.mp4 82.3 MB
  • 10. Heuristic Search/5. Building Maze.mp4 81.1 MB
  • 11. Natural Language Processing/7. Lemmatization.mp4 80.6 MB
  • 5. Affinity Propagation Model/1. Affinity Propagation Model.mp4 79.5 MB
  • 11. Natural Language Processing/4. NLP Pipeline and Its Example.mp4 78.7 MB
  • 4. Detecting patterns with Unsupervised Learning/1. Detecting patterns with Unsupervised Learning.mp4 78.5 MB
  • 11. Natural Language Processing/6. Stemming.mp4 75.0 MB
  • 11. Natural Language Processing/1. Natural Language Processing.mp4 74.0 MB
  • 6. Clustering Quality/2. Program of Clustering Quality.mp4 73.6 MB
  • 6. Clustering Quality/1. Clustering Quality.mp4 73.3 MB
  • 11. Natural Language Processing/14. Representation of Chunks.mp4 73.1 MB
  • 4. Detecting patterns with Unsupervised Learning/2. Clustering.mp4 73.1 MB
  • 11. Natural Language Processing/20. Recursive Descent Parsing.mp4 69.6 MB
  • 8. Classifiers/2. Processing Data.mp4 68.3 MB
  • 7. Gaussian Mixture Model/1. Gaussian Mixture Model.mp4 65.5 MB
  • 9. Logic Programming/4. Analyzing Geography Logic Programming.mp4 65.4 MB
  • 11. Natural Language Processing/18. Trees.mp4 65.3 MB
  • 8. Classifiers/4. Logistic Regression Classifier Example Using Python.mp4 64.8 MB
  • 9. Logic Programming/5. Puzzle Solver and its Example.mp4 63.5 MB
  • 4. Detecting patterns with Unsupervised Learning/4. Clustering Meanshift Continues.mp4 63.2 MB
  • 11. Natural Language Processing/2. Examine Text Using NLTK.mp4 63.2 MB
  • 4. Detecting patterns with Unsupervised Learning/3. Clustering Meanshift.mp4 58.2 MB
  • 10. Heuristic Search/4. Region Coloring Problem.mp4 55.5 MB
  • 8. Classifiers/6. Confusion Matrix.mp4 54.8 MB
  • 11. Natural Language Processing/5. Regular Expression with NLTK.mp4 53.4 MB
  • 11. Natural Language Processing/11. Information Extraction.mp4 53.1 MB
  • 5. Affinity Propagation Model/2. Affinity Propagation Model Continues.mp4 49.6 MB
  • 11. Natural Language Processing/12. Tag Patterns.mp4 49.0 MB
  • 8. Classifiers/7. Example os Confusion Matrix.mp4 47.7 MB
  • 8. Classifiers/8. Support Vector Machines Classifier(SVM).mp4 47.2 MB
  • 12. Introduction/1. Recursive Descent Parsing Continues.mp4 44.5 MB
  • 11. Natural Language Processing/19. Context Free Grammar.mp4 40.1 MB
  • 3. Adaboost Regressor/2. Predicting Traffic Using Extremely Random Forest Regressor.mp4 36.2 MB
  • 11. Natural Language Processing/10. Segmentation Example Continues.mp4 28.4 MB
  • 11. Natural Language Processing/9. Segmentation Example.mp4 23.9 MB
  • 8. Classifiers/1. Classification in Artificial Intelligence.mp4 22.2 MB
  • 8. Classifiers/3. Logistic Regression Classifier.mp4 17.4 MB
  • 9. Logic Programming/1. Concept of Logic Programming.vtt 13.0 kB
  • 11. Natural Language Processing/3. Raw Text Accessing (Tokenization).vtt 12.8 kB
  • 1. Chapter 1/1. Random Forest and Extremely Random Forest.vtt 12.5 kB
  • 8. Classifiers/5. Naive Bayes Classifier and its Examples.vtt 12.2 kB
  • 10. Heuristic Search/2. Local Search Technique.vtt 11.2 kB
  • 2. Class Imbalance and Grid Search/2. Grid Search.vtt 11.1 kB
  • 12. Introduction/3. Shift Reduce Parsing.vtt 10.9 kB
  • 11. Natural Language Processing/11. Information Extraction.vtt 10.9 kB
  • 11. Natural Language Processing/13. Chunking.vtt 10.7 kB
  • 12. Introduction/2. Introduction to Predictive Analysis.vtt 10.4 kB
  • 10. Heuristic Search/3. Constraint Satisfaction Problem.vtt 10.1 kB
  • 10. Heuristic Search/6. Puzzle Solver.vtt 10.1 kB
  • 9. Logic Programming/3. Parsing Family Tree and its Example.vtt 9.8 kB
  • 8. Classifiers/2. Processing Data.vtt 9.2 kB
  • 11. Natural Language Processing/15. Chinking.vtt 8.9 kB
  • 7. Gaussian Mixture Model/2. Program of Gaussian Mixture Model.vtt 8.8 kB
  • 11. Natural Language Processing/16. Chunking wirh Regular Expression.vtt 8.7 kB
  • 11. Natural Language Processing/18. Trees.vtt 8.5 kB
  • 12. Introduction/1. Recursive Descent Parsing Continues.vtt 8.5 kB
  • 8. Classifiers/9. SVM Classifier Examples.vtt 7.9 kB
  • 3. Adaboost Regressor/1. Adaboost Regressor.vtt 7.9 kB
  • 10. Heuristic Search/5. Building Maze.vtt 7.9 kB
  • 11. Natural Language Processing/20. Recursive Descent Parsing.vtt 7.5 kB
  • 10. Heuristic Search/1. What is Heuristic Search.vtt 7.4 kB
  • 4. Detecting patterns with Unsupervised Learning/2. Clustering.vtt 7.4 kB
  • 6. Clustering Quality/2. Program of Clustering Quality.vtt 7.4 kB
  • 11. Natural Language Processing/1. Natural Language Processing.vtt 7.4 kB
  • 3. Adaboost Regressor/3. Traffic Prediction.vtt 7.3 kB
  • 11. Natural Language Processing/4. NLP Pipeline and Its Example.vtt 7.3 kB
  • 4. Detecting patterns with Unsupervised Learning/4. Clustering Meanshift Continues.vtt 7.3 kB
  • 2. Class Imbalance and Grid Search/1. Dealing with Class Imbalance.vtt 7.3 kB
  • 9. Logic Programming/2. Matching the Mathematical Expression.vtt 7.3 kB
  • 11. Natural Language Processing/17. Named Entity Recognition.vtt 7.2 kB
  • 11. Natural Language Processing/8. Segmentation.vtt 7.2 kB
  • 11. Natural Language Processing/6. Stemming.vtt 7.1 kB
  • 8. Classifiers/4. Logistic Regression Classifier Example Using Python.vtt 6.8 kB
  • 11. Natural Language Processing/7. Lemmatization.vtt 6.6 kB
  • 4. Detecting patterns with Unsupervised Learning/1. Detecting patterns with Unsupervised Learning.vtt 6.6 kB
  • 5. Affinity Propagation Model/1. Affinity Propagation Model.vtt 6.5 kB
  • 9. Logic Programming/5. Puzzle Solver and its Example.vtt 6.2 kB
  • 8. Classifiers/7. Example os Confusion Matrix.vtt 6.1 kB
  • 11. Natural Language Processing/14. Representation of Chunks.vtt 6.1 kB
  • 9. Logic Programming/4. Analyzing Geography Logic Programming.vtt 5.9 kB
  • 8. Classifiers/8. Support Vector Machines Classifier(SVM).vtt 5.7 kB
  • 6. Clustering Quality/1. Clustering Quality.vtt 5.6 kB
  • 10. Heuristic Search/4. Region Coloring Problem.vtt 5.5 kB
  • 5. Affinity Propagation Model/2. Affinity Propagation Model Continues.vtt 5.3 kB
  • 11. Natural Language Processing/5. Regular Expression with NLTK.vtt 5.3 kB
  • 4. Detecting patterns with Unsupervised Learning/3. Clustering Meanshift.vtt 5.2 kB
  • 11. Natural Language Processing/2. Examine Text Using NLTK.vtt 5.2 kB
  • 7. Gaussian Mixture Model/1. Gaussian Mixture Model.vtt 5.0 kB
  • 11. Natural Language Processing/10. Segmentation Example Continues.vtt 4.8 kB
  • 8. Classifiers/6. Confusion Matrix.vtt 4.4 kB
  • 8. Classifiers/1. Classification in Artificial Intelligence.vtt 3.9 kB
  • 11. Natural Language Processing/19. Context Free Grammar.vtt 3.7 kB
  • 11. Natural Language Processing/12. Tag Patterns.vtt 3.6 kB
  • 8. Classifiers/3. Logistic Regression Classifier.vtt 3.3 kB
  • 11. Natural Language Processing/9. Segmentation Example.vtt 3.2 kB
  • 3. Adaboost Regressor/2. Predicting Traffic Using Extremely Random Forest Regressor.vtt 2.5 kB
  • [Tutorialsplanet.NET].url 128 Bytes

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