Mastering Scala Machine Learning: Advance your skills in efficient data analysis

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Mastering Scala Machine Learning by Alex Kozlov

Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and HadoopKey Features[*] This is a primer on functional-programming-style techniques to help you efficiently process and analyze all of your data[*] Get acquainted with the best and newest tools available such as Scala, Spark, Parquet and MLlib for machine learning[*] Learn the best practices to incorporate new Big Data machine learning in your data-driven enterprise to gain future scalability and maintainabilityBook DescriptionSince the advent of object-oriented programming, new technologies related to Big Data are constantly popping up on the market. One such technology is Scala, which is considered to be a successor to Java in the area of Big Data by many, like Java was to C/C++ in the area of distributed book aims to take your knowledge to next level and help you impart that knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision of the data that we produce today is unstructured and raw, and you will learn to tackle this type of data with advanced topics such as regression, classification, integration, and working with graph algorithms. Finally, you will discover at how to use Scala to perform complex concept analysis, to monitor model performance, and to build a model repository. By the end of this book, you will have gained expertise in performing Scala machine learning and will be able to build complex machine learning projects using you will learn[*] Sharpen your functional programming skills in Scala using REPL[*] Apply standard and advanced machine learning techniques using Scala[*] Get acquainted with Big Data technologies and grasp why we need a functional approach to Big Data[*] Discover new data structures, algorithms, approaches, and habits that will allow you to work effectively with large amounts of data[*] Understand the principles of supervised and unsupervised learning in machine learning[*] Work with unstructured data and serialize it using Kryo, Protobuf, Avro, and AvroParquet[*] Construct reliable and robust data pipelines and manage data in a data-driven enterprise[*] Implement scalable model monitoring and alerts with ScalaWho this book is forMastering Scala Machine Learning is intended for enthusiasts who want to plunge into the new pool of emerging techniques for machine learning. Some familiarity with standard statistical techniques is required.

FORMAT
Paperback LANGUAGE
English CONDITION
Brand New Table of Contents

Table of Contents

Exploratory Data Analysis

Data Pipelines and Modeling

Working with Spark and MLlib

Supervised and Unsupervised Learning

Regression and Classification

Working with Unstructured Data

Working with Graph Algorithms

Integrating Scala with R and Python

NLP in Scala

Advanced Model Monitoring

Details ISBN1785880888 Author Alex Kozlov Short Title MASTERING SCALA MACHINE LEARNI Pages 310 Language English ISBN-10 1785880888 ISBN-13 9781785880889 Media Book Format Paperback Year 2016 Imprint Packt Publishing Limited Place of Publication Birmingham Country of Publication United Kingdom DEWEY 006.31 Illustrations black & white illustrations AU Release Date 2016-06-28 NZ Release Date 2016-06-28 Publication Date 2016-06-28 UK Release Date 2016-06-28 Publisher Packt Publishing Limited Audience Professional & Vocational Country of Origin US Product Class Description Computing: Professional & Programming Subtitle Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop
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