Mastering Machine Learning on AWS

Mastering Machine Learning on AWS

作者: Mengle Saket S. R. Gurmendez Maximo
出版社: Packt Publishing
出版在: 2019-05-17
ISBN-13: 9781789349795
ISBN-10: 1789349796
裝訂格式: Quality Paper - also called trade paper
總頁數: 306 頁





內容描述


AWS is constantly driving new innovations that empower data scientists to explore a variety of machine learning (ML) cloud services. This book is your comprehensive reference for learning and implementing advanced ML algorithms in AWS cloud.
 
As you go through the chapters, you’ll gain insights into how these algorithms can be trained, tuned, and deployed in AWS using Apache Spark on Elastic Map Reduce (EMR), SageMaker, and TensorFlow. While you focus on algorithms such as XGBoost, linear models, factorization machines, and deep nets, the book will also provide you with an overview of AWS as well as detailed practical applications that will help you solve real-world problems. Every practical application includes a series of companion notebooks with all the necessary code to run on AWS. In the next few chapters, you will learn to use SageMaker and EMR Notebooks to perform a range of tasks, right from smart analytics and predictive modeling through to sentiment analysis.
 
By the end of this book, you will be equipped with the skills you need to effectively handle machine learning projects and implement and evaluate algorithms on AWS.




相關書籍

Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More, 3/e (Paperback)

作者 Matthew A. Russell Mikhail Klassen

2019-05-17

Deep Learning with TensorFlow - Second Edition: Explore neural networks with Python

作者 Giancarlo Zaccone Md. Rezaul Karim

2019-05-17

Python 網絡爬蟲實例教程

作者 齊文光

2019-05-17