Book Content
chapters • 10h12m total length
1. Getting started with Machine learning for AWS
2. Classifying Twitter Feeds with Naive Bayes
3. Predicting House Value with Regression Algorithms
4. Predicting User Behavior with Tree-based Methods
5. Customer Segmentation Using Clustering Algorithms
6. Analyzing Visitor Patterns to Make Recommendations
7. Implementing Deep Learning Algorithms
8. Implementing Deep Learning with TensorFlow on AWS
9. Image Classification and Detection with Sagemaker
10. Working with AWS Comprehend
11. Using AWS Rekognition
12. Building Conversational Interfaces Using AWS Lex
13. Creating Clusters on AWS
14. Optimizing Models in Spark and Sagemaker
15. Tuning clusters for Machine Learning
16. Deploying models built on AWS
