Effective Amazon Machine Learning - Softcover

Perrier, Alexis

 
9781785883231: Effective Amazon Machine Learning
Softcover
ISBN 10: 1785883232 ISBN 13: 9781785883231
Publisher: Packt Publishing, 2017

Synopsis

Key Features

  • Create great machine learning models that combine the power of algorithms with interactive tools without worrying about the underlying complexity
  • Learn the What's next? of machine learning―machine learning on the cloud―with this unique guide
  • Create web services that allow you to perform affordable and fast machine learning on the cloud

Book Description

Predictive analytics is a complex domain requiring coding skills, an understanding of the mathematical concepts underpinning machine learning algorithms, and the ability to create compelling data visualizations. Following AWS simplifying Machine learning, this book will help you bring predictive analytics projects to fruition in three easy steps: data preparation, model tuning, and model selection.

This book will introduce you to the Amazon Machine Learning platform and will implement core data science concepts such as classification, regression, regularization, overfitting, model selection, and evaluation. Furthermore, you will learn to leverage the Amazon Web Service (AWS) ecosystem for extended access to data sources, implement realtime predictions, and run Amazon Machine Learning projects via the command line and the Python SDK.

Towards the end of the book, you will also learn how to apply these services to other problems, such as text mining, and to more complex datasets.

What you will learn

  • Learn how to use the Amazon Machine Learning service from scratch for predictive analytics
  • Gain hands-on experience of key Data Science concepts
  • Solve classic regression and classification problems
  • Run projects programmatically via the command line and the Python SDK

"synopsis" may belong to another edition of this title.

About the Author

Alexis Perrier is a data scientist at Docent Health, working with Machine Learning to improve patient experience in Healthcare. Fascinated by the power of stochastic algorithms, he is actively involved in the data science community and teaches data science as a blogger, instructor, and meetup presenter. He holds a Ph.D. in Signal Processing from Telecom ParisTech and resides in Boston MA.

"About this title" may belong to another edition of this title.

Publisher
Packt Publishing
Publication date
2017
Language
English
ISBN 10 
1785883232
ISBN 13 
9781785883231
Binding
Paperback
Number of pages
306