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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 3: Using Machine Learning and Deep Learning Frameworks with Amazon SageMaker

Neural networks and deep learning are some of the hottest topics in the tech industry right now. If this is your first time hearing about an artificial neural network, it is simply a network of interconnected units called neurons used to solve specific machine learning problems. These neural network models have been used in solving different practical real-life problems including image classification, time-series forecasting, and even language translation. One of the properties of neural networks is the number of node layers these networks have. Generally, having more layers helps improve a model's performance up to a certain point. When a neural network has around three or more layers, we consider that artificial neural network a deep neural network. When dealing with larger datasets, deep learning models achieve better performance as these models scale effectively with data. These past couple...

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