Read Machine Learning with Spark

Machine Learning with Spark

Nick Pentreath

4.9/5 (25268 ratings)

Description:- A practical tutorial with real-world use cases allowing you to develop your own machine learning systems with Spark- Combine various techniques and models into an intelligent machine learning system- Use Spark's powerful tools to load, analyze, clean, and transform your dataApache Spark is a framework for distributed computing that is designed from the ground up to be optimized for low latency tasks and in-memory data storage. It is one of the few frameworks for parallel computing that combines speed, scalability, in-memory processing, and fault tolerance with ease of programming and a flexible, expressive, and powerful API design.This book guides you through the basics of Spark's API used to load and process data and prepare the data to use as input to the various machine learning models. There are detailed examples and real-world use cases for you to explore common machine learning models including recommender systems, classification, regression, clustering, and dimensionality reduction. You will cover advanced topics such as working with large-scale text data, and methods for online machine learning and model evaluation using Spark Streaming.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Machine Learning with Spark. To get started finding Machine Learning with Spark, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 329

Format: PDF, EPUB & Kindle Edition

Publisher: Packt Publishing

Release: 2015

ISBN: 1783288515

Description: - A practical tutorial with real-world use cases allowing you to develop your own machine learning systems with Spark- Combine various techniques and models into an intelligent machine learning system- Use Spark's powerful tools to load, analyze, clean, and transform your dataApache Spark is a framework for distributed computing that is designed from the ground up to be optimized for low latency tasks and in-memory data storage. It is one of the few frameworks for parallel computing that combines speed, scalability, in-memory processing, and fault tolerance with ease of programming and a flexible, expressive, and powerful API design.This book guides you through the basics of Spark's API used to load and process data and prepare the data to use as input to the various machine learning models. There are detailed examples and real-world use cases for you to explore common machine learning models including recommender systems, classification, regression, clustering, and dimensionality reduction. You will cover advanced topics such as working with large-scale text data, and methods for online machine learning and model evaluation using Spark Streaming.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Machine Learning with Spark. To get started finding Machine Learning with Spark, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Machine Learning with Spark

Machine Learning with Spark

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