Section 3: Training Machine Learning Models with Amazon SageMaker

In this section, you will learn how to design, develop, and deploy an enterprise-level machine learning solution in AWS. Also, an in-depth understanding of the challenges involved with wrangling big data and data parallelization and model deployment will be addressed at length. We'll illustrate these concepts by discussing a few real-world case studies.

This section comprises the following chapters:

• Chapter 7, Working with Amazon SageMaker
• Chapter 8, Creating Machine Learning Inference Pipelines
• Chapter 9, Discovering Topics in Text Collection
• Chapter 10, Classifying Images using Amazon SageMaker
• Chapter 11, Sales Forecasting with Deep Learning and Auto Regression