AWS Machine Learning by Example
Posted by Superadmin on August 26 2019 15:31:05

AWS Machine Learning by Example

 

 

Take a deeper dive into machine learning with Amazon Web Services (AWS). In this practical course, instructor Jonathan Fernandes helps to familiarize you with common machine learning tasks, demonstrating how to approach each one using key techniques: binary classification, multiclass classification, and regression. Throughout the course, he walks through several examples, using Kaggle datasets for hands-on exploration. Plus, he reviews some essential machine learning concepts and helps to familiarize you with other AWS capabilities, including SageMaker and Deep Learning AMIs.

Topics include:

1 - Introduction



01. Welcome
02. What_you_should_know_before_watching_this_course
03. Setting_up_an_AWS_account



2 - 1._Introduction_to_Machine_Learning



 
 
 
04. Machine_learning_overview
05. Learning_algorithms_and_hyperparameters
06. Steps_in_AWS_machine_learning



3 - 2._Binary_Model



 
 
 
 
07. Exploring_our_binary_model_data_set
08. Preparing_our_data_for_AWS
09. Creating_a_datasource
10. Confirming_AWS_machine_learning_schema
 
 
 
 
11. Creating_a_binary_classification_model
12. Understanding_binary_model_s_predictive_performance
13. Setting_binary_model_s_predictive_performance
14. Using_the_binary_classification_model_to_generate_predictions
 
 
15. Creating_batch_predictions_in_AWS_machine_learning
16. Binary_classification_model_environment_cleanup



5 - 3._Multiclass_Model



4 - 3._Working_with_Projects
 
 
 
 
17. Exploring_our_multiclass_model_data_set
18. Multiclass_data_preparation
19. AWS_multiclass_machine_learning_model
20. Predictions_and_evaluations_of_multiclass_learning_model
 
 
 
 
21. Generate_predictions_for_AWS_multiclass
22. Creating_multiclass_batch_predictions
23. Interpreting_batch_predictions
24. Clean_multiclass_model_environment



6 - 4._Regression_Model



 
 
 
 
25. Exploring_our_regression_model_data_set
26. Regression_data_preparation
27. Creation_of_an_AWS_machine_learning_model
28. Predictions_and_evaluations_of_a_machine_learning_model
 
 
29. Regression_batch_predictions
30. Clean_regression_model_environment



7 - 5._Overview_of_Other_AWS_Capabilities



 
31. SageMaker_Deep_Learning_AMI_Apache_MXNet



8 - Conclusion



 
32. Next_steps