Machine Learning with Amazon SageMaker Cookbook
Explore the capabilities of Amazon SageMaker to effectively train, deploy, and manage machine learning and deep learning models in AWS with complete and thoroughly explained hands-on examples. With 80 proven recipes, this step-by-step guide will help you build the skills necessary to contribute to real-life ML requirements and projects.
Offered by
Difficulty Level
Intermediate
Completion Time
25h24m
Language
English
About Book
Who Is This Book For?
This book is for developers, data scientists, and machine learning practitioners interested in using Amazon SageMaker to build, analyze, and deploy machine learning models with 80 step-by-step recipes. All you need is an AWS account to get things running. Prior knowledge of AWS, machine learning, and the Python programming language will help you to grasp the concepts covered in this book more effectively.
Machine Learning with Amazon SageMaker Cookbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 25h24m total length
Getting Started with Machine Learning Using Amazon SageMaker
Building and Using your own Algorithm Container Image
Using Machine Learning and Deep Learning Frameworks with Amazon SageMaker
Preparing, Processing, and Analyzing the Data
Effectively Managing Machine Learning Experiments
Automated Machine Learning in Amazon SageMaker
Working with SageMaker Feature Store, SageMaker Clarify, and SageMaker Model Monitor
Solving NLP, Image Classification, and Time-Series Forecasting Problems with Built-in Algorithms
Managing Machine Learning Workflows and Deployments
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