*COD & Shipping Charges may apply on certain items.
Review final details at checkout.
₹3136
₹4099
23% OFF
Paperback
All inclusive*
Qty:
1
About The Book
Description
Author
Create scalable machine learning applications to power a modern data-driven business using Spark 2.x About This Book • Get to the grips with the latest version of Apache Spark • Utilize Sparks machine learning library to implement predictive analytics • Leverage Sparks powerful tools to load analyze clean and transform your data Who This Book Is For If you have a basic knowledge of machine learning and want to implement various machine-learning concepts in the context of Spark ML this book is for you. You should be well versed with the Scala and Python languages. What You Will Learn • Get hands-on with the latest version of Spark ML • Create your first Spark program with Scala and Python • Set up and configure a development environment for Spark on your own computer as well as on Amazon EC2 • Access public machine learning datasets and use Spark to load process clean and transform data • Use Sparks machine learning library to implement programs by utilizing well-known machine learning models • Deal with large-scale text data including feature extraction and using text data as input to your machine learning models • Write Spark functions to evaluate the performance of your machine learning models In Detail This book will teach you about popular machine learning algorithms and their implementation. You will learn how various machine learning concepts are implemented in the context of Spark ML. You will start by installing Spark in a single and multinode cluster. Next youll see how to execute Scala and Python based programs for Spark ML. Then we will take a few datasets and go deeper into clustering classification and regression. Toward the end we will also cover text processing using Spark ML. Once you have learned the concepts they can be applied to implement algorithms in either green-field implementations or to migrate existing systems to this new platform. You can migrate from Mahout or Scikit to use Spark ML. By the end of this book you will acquire the skills to leverage Sparks features to create your own scalable machine learning applications and power a modern data-driven business. Style and approach This practical tutorial with real-world use cases enables you to develop your own machine learning systems with Spark. The examples will help you combine various techniques and models into an intelligent machine learning system.