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Mastering Machine Learning on AWS

You're reading from   Mastering Machine Learning on AWS Advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789349795
Length 306 pages
Edition 1st Edition
Languages
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Authors (2):
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Maximo Gurmendez Maximo Gurmendez
Author Profile Icon Maximo Gurmendez
Maximo Gurmendez
Dr. Saket S.R. Mengle Dr. Saket S.R. Mengle
Author Profile Icon Dr. Saket S.R. Mengle
Dr. Saket S.R. Mengle
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Toc

Table of Contents (24) Chapters Close

Preface 1. Section 1: Machine Learning on AWS FREE CHAPTER
2. Getting Started with Machine Learning for AWS 3. Section 2: Implementing Machine Learning Algorithms at Scale on AWS
4. Classifying Twitter Feeds with Naive Bayes 5. Predicting House Value with Regression Algorithms 6. Predicting User Behavior with Tree-Based Methods 7. Customer Segmentation Using Clustering Algorithms 8. Analyzing Visitor Patterns to Make Recommendations 9. Section 3: Deep Learning
10. Implementing Deep Learning Algorithms 11. Implementing Deep Learning with TensorFlow on AWS 12. Image Classification and Detection with SageMaker 13. Section 4: Integrating Ready-Made AWS Machine Learning Services
14. Working with AWS Comprehend 15. Using AWS Rekognition 16. Building Conversational Interfaces Using AWS Lex 17. Section 5: Optimizing and Deploying Models through AWS
18. Creating Clusters on AWS 19. Optimizing Models in Spark and SageMaker 20. Tuning Clusters for Machine Learning 21. Deploying Models Built in AWS 22. Other Books You May Enjoy Appendix: Getting Started with AWS

Section 3: Deep Learning

One of the main innovations in the field of AI and machine learning is the advent of deep learning algorithms. We dedicate this part of the book to deep learning algorithms and explain how readers can implement them using various technologies in AWS. We take a practical approach to explaining deep learning algorithms, rather than a theoretical approach, and explain how deep learning works with help of several real-world examples. Readers will learn what deep learning is, the applications of deep learning, and how to implement deep learning systems on AWS.

This section contains the following chapters:

  • Chapter 7, Implementing Deep Learning Algorithms
  • Chapter 8, Implementing Deep Learning with TensorFlow on AWS
  • Chapter 9, Image Classification and Detection with SageMaker
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