Effective Amazon Machine Learning

Effective Amazon Machine Learning

作者: Alexis Perrier
出版社: Packt Publishing
出版在: 2017-04-28
ISBN-13: 9781785883231
ISBN-10: 1785883232
裝訂格式: Paperback
總頁數: 306 頁





內容描述


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




相關書籍

The Practice of Computing Using Python, 3/e (GE-Paperback)

作者 William F. Punch Richard Enbody

2017-04-28

機器學習線性代數基礎 (Python 語言描述)

作者 張雨萌

2017-04-28

Artificial Intelligence for Marketing: Practical Applications

作者 Jim Sterne

2017-04-28