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Machine Learning with Scala Quick Start Guide
Machine Learning with Scala Quick Start Guide

Machine Learning with Scala Quick Start Guide: Leverage popular machine learning algorithms and techniques and implement them in Scala

Profile Icon Md. Rezaul Karim Profile Icon Ajay Kumar N
By Md. Rezaul Karim , Ajay Kumar N
$15.99 $22.99
Book Apr 2019 220 pages 1st Edition
eBook
$15.99 $22.99
Print
$32.99
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Renews at $19.99p/m
Profile Icon Md. Rezaul Karim Profile Icon Ajay Kumar N
By Md. Rezaul Karim , Ajay Kumar N
$15.99 $22.99
Book Apr 2019 220 pages 1st Edition
eBook
$15.99 $22.99
Print
$32.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$15.99 $22.99
Print
$32.99
Subscription
Free Trial
Renews at $19.99p/m

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Machine Learning with Scala Quick Start Guide

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Key benefits

  • Construct and deploy machine learning systems that learn from your data and give accurate predictions
  • Unleash the power of Spark ML along with popular machine learning algorithms to solve complex tasks in Scala.
  • Solve hands-on problems by combining popular neural network architectures such as LSTM and CNN using Scala with DeepLearning4j library

Description

Scala is a highly scalable integration of object-oriented nature and functional programming concepts that make it easy to build scalable and complex big data applications. This book is a handy guide for machine learning developers and data scientists who want to develop and train effective machine learning models in Scala. The book starts with an introduction to machine learning, while covering deep learning and machine learning basics. It then explains how to use Scala-based ML libraries to solve classification and regression problems using linear regression, generalized linear regression, logistic regression, support vector machine, and Naïve Bayes algorithms. It also covers tree-based ensemble techniques for solving both classification and regression problems. Moving ahead, it covers unsupervised learning techniques, such as dimensionality reduction, clustering, and recommender systems. Finally, it provides a brief overview of deep learning using a real-life example in Scala.

What you will learn

  • Get acquainted with JVM-based machine learning libraries for Scala such as Spark ML and Deeplearning4j
  • Learn RDDs, DataFrame, and Spark SQL for analyzing structured and unstructured data
  • Understand supervised and unsupervised learning techniques with best practices and pitfalls
  • Learn classification and regression analysis with linear regression, logistic regression, Naïve Bayes, support vector machine, and tree-based ensemble techniques
  • Learn effective ways of clustering analysis with dimensionality reduction techniques
  • Learn recommender systems with collaborative filtering approach
  • Delve into deep learning and neural network architectures

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 30, 2019
Length 220 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781789345070
Category :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : Apr 30, 2019
Length 220 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781789345070
Category :

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Table of Contents

9 Chapters
Preface Chevron down icon Chevron up icon
1. Introduction to Machine Learning with Scala Chevron down icon Chevron up icon
2. Scala for Regression Analysis Chevron down icon Chevron up icon
3. Scala for Learning Classification Chevron down icon Chevron up icon
4. Scala for Tree-Based Ensemble Techniques Chevron down icon Chevron up icon
5. Scala for Dimensionality Reduction and Clustering Chevron down icon Chevron up icon
6. Scala for Recommender System Chevron down icon Chevron up icon
7. Introduction to Deep Learning with Scala Chevron down icon Chevron up icon
8. Other Books You May Enjoy Chevron down icon Chevron up icon
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