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[CourseClub.ME] Pluralsight - Creating Machine Learning Models

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视频 2020-6-5 07:37 2024-12-22 06:04 150 382.77 MB 42
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CourseClub ME Pluralsight - Creating Machine Learning Models

文件列表
  1. 01.Course Overview/01.01.Course Overview.mp49.94MB
  2. 02.Understanding Approaches to Machine Learning/02.01.Module Overview.mp46.51MB
  3. 02.Understanding Approaches to Machine Learning/02.02.Prerequisites and Course Outline.mp44.79MB
  4. 02.Understanding Approaches to Machine Learning/02.03.Rule-based vs. ML-based Learning.mp413.57MB
  5. 02.Understanding Approaches to Machine Learning/02.04.Traditional ML vs. Representation ML.mp47MB
  6. 02.Understanding Approaches to Machine Learning/02.05.The Machine Learning Workflow.mp46MB
  7. 02.Understanding Approaches to Machine Learning/02.06.Choosing the Right Model Based on Data.mp410.49MB
  8. 02.Understanding Approaches to Machine Learning/02.07.Supervised vs. Unsupervised Learning.mp49.26MB
  9. 02.Understanding Approaches to Machine Learning/02.08.Transfer Learning, Cold Start ML and Warm Start ML.mp410.08MB
  10. 02.Understanding Approaches to Machine Learning/02.09.Popular Machine Learning Frameworks.mp46.53MB
  11. 02.Understanding Approaches to Machine Learning/02.10.Demo Getting Started with scikit-learn.mp44.35MB
  12. 02.Understanding Approaches to Machine Learning/02.11.Module Summary.mp42.67MB
  13. 03.Understanding and Implementing Regression Models/03.01.Module Overview.mp42.36MB
  14. 03.Understanding and Implementing Regression Models/03.02.Building and Evaluating Regression Models.mp49.32MB
  15. 03.Understanding and Implementing Regression Models/03.03.Demo Linear Regression Using Numeric Features.mp417.62MB
  16. 03.Understanding and Implementing Regression Models/03.04.Demo Exploring Regression Data.mp49.68MB
  17. 03.Understanding and Implementing Regression Models/03.05.Demo Preprocessing Numeric and Categorical Data and Fitting a Regression Model.mp410.47MB
  18. 03.Understanding and Implementing Regression Models/03.06.Choosing Regression Algorithms.mp44.93MB
  19. 03.Understanding and Implementing Regression Models/03.07.Regularized Regression Models Lasso, Ridge, and Elastic Net.mp47.37MB
  20. 03.Understanding and Implementing Regression Models/03.08.Stochastic Gradient Descent.mp44.35MB
  21. 03.Understanding and Implementing Regression Models/03.09.Demo Multiple Types of Regression.mp412.02MB
  22. 03.Understanding and Implementing Regression Models/03.10.Module Summary.mp42.58MB
  23. 04.Understanding and Implementing Classification Models/04.01.Module Overview.mp42.26MB
  24. 04.Understanding and Implementing Classification Models/04.02.Types of Classifiers.mp47.96MB
  25. 04.Understanding and Implementing Classification Models/04.03.Understanding Logistic Regression Intuitively.mp49.96MB
  26. 04.Understanding and Implementing Classification Models/04.04.Demo Building and Training a Binary Classification Model.mp413.77MB
  27. 04.Understanding and Implementing Classification Models/04.05.Understanding Support Vector and Nearest Neighbors Classification.mp47.49MB
  28. 04.Understanding and Implementing Classification Models/04.06.Understanding Decision Tree and Naive Bayes Classification.mp49.93MB
  29. 04.Understanding and Implementing Classification Models/04.07.Demo Building Classification Models Using Multiple Techniques.mp415.46MB
  30. 04.Understanding and Implementing Classification Models/04.08.Demo Using Warm Start with an Ensemble Classifier.mp46.56MB
  31. 04.Understanding and Implementing Classification Models/04.09.Demo Performing Multiclass Classification on Text Data.mp414.87MB
  32. 04.Understanding and Implementing Classification Models/04.10.Module Summary.mp41.99MB
  33. 05.Understanding and Implementing Clustering Model/05.01.Module Overview.mp42.21MB
  34. 05.Understanding and Implementing Clustering Model/05.02.Clustering as an Unsupervised Learning Technique.mp47.56MB
  35. 05.Understanding and Implementing Clustering Model/05.03.Choosing Clustering Algorithms.mp47.36MB
  36. 05.Understanding and Implementing Clustering Model/05.04.Categorizing Clustering Algorithms.mp45.75MB
  37. 05.Understanding and Implementing Clustering Model/05.05.K-means Clustering.mp45.01MB
  38. 05.Understanding and Implementing Clustering Model/05.06.Hierarchical Clustering.mp46.84MB
  39. 05.Understanding and Implementing Clustering Model/05.07.Demo Performing K-means Clustering on Unlabeled Data.mp411.85MB
  40. 05.Understanding and Implementing Clustering Model/05.08.Demo Clustering Using Labeled Data.mp418.19MB
  41. 05.Understanding and Implementing Clustering Model/05.09.Demo Agglomerative Clustering.mp449.22MB
  42. 05.Understanding and Implementing Clustering Model/05.10.Summary and Further Study.mp46.62MB
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