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Lynda - AWS Machine Learning by Example

  • 收录时间:2018-06-04 04:49:03
  • 文件大小:238MB
  • 下载次数:440
  • 最近下载:2021-01-19 04:54:04
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文件列表

  1. Exercise Files/Ex_Files_AWS_ML_Example.zip 28MB
  2. 4.2. Binary Model/08.Preparing our data for AWS.mp4 17MB
  3. 4.2. Binary Model/10.Confirming AWS machine learning schema.mp4 14MB
  4. 5.3. Multiclass Model/18.Multiclass data preparation.mp4 12MB
  5. 5.3. Multiclass Model/23.Interpreting batch predictions.mp4 11MB
  6. 6.4. Regression Model/26.Regression data preparation.mp4 10MB
  7. 4.2. Binary Model/15.Creating batch predictions in AWS machine learning.mp4 10MB
  8. 5.3. Multiclass Model/22.Creating multiclass batch predictions.mp4 10MB
  9. 5.3. Multiclass Model/21.Generate predictions for AWS multiclass.mp4 9MB
  10. 5.3. Multiclass Model/17.Exploring our multiclass model data set.mp4 8MB
  11. 4.2. Binary Model/12.Understanding binary model's predictive performance.mp4 8MB
  12. 4.2. Binary Model/13.Setting binary model's predictive performance.mp4 7MB
  13. 2.1. Introduction to Machine Learning/05.Learning algorithms and hyperparameters.mp4 7MB
  14. 6.4. Regression Model/29.Regression batch predictions.mp4 7MB
  15. 6.4. Regression Model/28.Predictions and evaluations of a machine learning model.mp4 6MB
  16. 6.4. Regression Model/25.Exploring our regression model data set.mp4 6MB
  17. 5.3. Multiclass Model/19.AWS multiclass machine learning model.mp4 6MB
  18. 4.2. Binary Model/07.Exploring our binary model data set.mp4 6MB
  19. 4.2. Binary Model/14.Using the binary classification model to generate predictions.mp4 6MB
  20. 4.2. Binary Model/09.Creating a datasource.mp4 5MB
  21. 5.3. Multiclass Model/20.Predictions and evaluations of multiclass learning model.mp4 5MB
  22. 7.5. Overview of Other AWS Capabilities/31.SageMaker, Deep Learning AMI, Apache MXNet.mp4 5MB
  23. 1.Introduction/03.Setting up an AWS account.mp4 5MB
  24. 4.2. Binary Model/11.Creating a binary classification model.mp4 5MB
  25. 1.Introduction/01.Welcome.mp4 4MB
  26. 1.Introduction/02.What you should know before watching this course.mp4 4MB
  27. 6.4. Regression Model/27.Creation of an AWS machine learning model.mp4 3MB
  28. 4.2. Binary Model/16.Binary classification model environment cleanup.mp4 3MB
  29. 2.1. Introduction to Machine Learning/04.Machine learning overview.mp4 2MB
  30. 2.1. Introduction to Machine Learning/06.Steps in AWS machine learning.mp4 2MB
  31. 5.3. Multiclass Model/24.Clean multiclass model environment.mp4 2MB
  32. 6.4. Regression Model/30.Clean regression model environment.mp4 2MB
  33. 8.Conclusion/32.Next steps.mp4 2MB
  34. 4.2. Binary Model/12.Understanding binary model's predictive performance.en.srt 9KB
  35. 4.2. Binary Model/08.Preparing our data for AWS.en.srt 7KB
  36. 6.4. Regression Model/28.Predictions and evaluations of a machine learning model.en.srt 7KB
  37. 5.3. Multiclass Model/18.Multiclass data preparation.en.srt 7KB
  38. 4.2. Binary Model/10.Confirming AWS machine learning schema.en.srt 7KB
  39. 5.3. Multiclass Model/23.Interpreting batch predictions.en.srt 7KB
  40. 2.1. Introduction to Machine Learning/05.Learning algorithms and hyperparameters.en.srt 6KB
  41. 6.4. Regression Model/26.Regression data preparation.en.srt 5KB
  42. 5.3. Multiclass Model/17.Exploring our multiclass model data set.en.srt 5KB
  43. 4.2. Binary Model/15.Creating batch predictions in AWS machine learning.en.srt 5KB
  44. 4.2. Binary Model/14.Using the binary classification model to generate predictions.en.srt 5KB
  45. 5.3. Multiclass Model/20.Predictions and evaluations of multiclass learning model.en.srt 5KB
  46. 7.5. Overview of Other AWS Capabilities/31.SageMaker, Deep Learning AMI, Apache MXNet.en.srt 5KB
  47. 5.3. Multiclass Model/21.Generate predictions for AWS multiclass.en.srt 5KB
  48. 1.Introduction/02.What you should know before watching this course.en.srt 5KB
  49. 5.3. Multiclass Model/22.Creating multiclass batch predictions.en.srt 5KB
  50. 4.2. Binary Model/11.Creating a binary classification model.en.srt 4KB
  51. 4.2. Binary Model/09.Creating a datasource.en.srt 4KB
  52. 5.3. Multiclass Model/19.AWS multiclass machine learning model.en.srt 4KB
  53. 4.2. Binary Model/13.Setting binary model's predictive performance.en.srt 4KB
  54. 6.4. Regression Model/29.Regression batch predictions.en.srt 4KB
  55. 4.2. Binary Model/07.Exploring our binary model data set.en.srt 4KB
  56. 2.1. Introduction to Machine Learning/04.Machine learning overview.en.srt 3KB
  57. 1.Introduction/03.Setting up an AWS account.en.srt 3KB
  58. 6.4. Regression Model/25.Exploring our regression model data set.en.srt 3KB
  59. 6.4. Regression Model/27.Creation of an AWS machine learning model.en.srt 3KB
  60. 2.1. Introduction to Machine Learning/06.Steps in AWS machine learning.en.srt 2KB
  61. 1.Introduction/01.Welcome.en.srt 2KB
  62. 5.3. Multiclass Model/24.Clean multiclass model environment.en.srt 1KB
  63. 8.Conclusion/32.Next steps.en.srt 1KB
  64. 4.2. Binary Model/16.Binary classification model environment cleanup.en.srt 1KB
  65. 6.4. Regression Model/30.Clean regression model environment.en.srt 1KB