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Machine Learning with Amazon SageMaker Cookbook

You're reading from   Machine Learning with Amazon SageMaker Cookbook 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781800567030
Length 762 pages
Edition 1st Edition
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Author (1):
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Joshua Arvin Lat Joshua Arvin Lat
Author Profile Icon Joshua Arvin Lat
Joshua Arvin Lat
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Table of Contents (11) Chapters Close

Preface 1. Chapter 1: Getting Started with Machine Learning Using Amazon SageMaker 2. Chapter 2: Building and Using Your Own Algorithm Container Image FREE CHAPTER 3. Chapter 3: Using Machine Learning and Deep Learning Frameworks with Amazon SageMaker 4. Chapter 4: Preparing, Processing, and Analyzing the Data 5. Chapter 5: Effectively Managing Machine Learning Experiments 6. Chapter 6: Automated Machine Learning in Amazon SageMaker 7. Chapter 7: Working with SageMaker Feature Store, SageMaker Clarify, and SageMaker Model Monitor 8. Chapter 8: Solving NLP, Image Classification, and Time-Series Forecasting Problems with Built-in Algorithms 9. Chapter 9: Managing Machine Learning Workflows and Deployments 10. Other Books You May Enjoy

Chapter 8: Solving NLP, Image Classification, and Time-Series Forecasting Problems with Built-in Algorithms

In the previous chapter, we had a closer look at several capabilities of SageMaker, such as SageMaker Feature Store, SageMaker Clarify, and SageMaker Model Monitor. These capabilities help machine learning practitioners handle relevant requirements when working on production-level machine learning experiments and deployments. In this chapter, we will take a look at using the SageMaker built-in algorithms to solve natural language processing (NLP), image classification, and time-series forecasting problems.

Figure 8.1 – Working with text classification, image classification, and time-series forecasting problems with built-in algorithms

As in Figure 8.1, we will take a look at using BlazingText to solve one of the most common NLP problems—text classification. In addition to this, we will also take a closer look at using the built-in Image...

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