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- 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

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.

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

Download this book in **EPUB** and **PDF** formats

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Publication date :
Apr 30, 2019

Length
220 pages

Edition :
1st Edition

Language :
English

ISBN-13 :
9781789345070

Category :

Languages :

Concepts :

Preface

1. Introduction to Machine Learning with Scala

2. Scala for Regression Analysis

3. Scala for Learning Classification

4. Scala for Tree-Based Ensemble Techniques

5. Scala for Dimensionality Reduction and Clustering

6. Scala for Recommender System

7. Introduction to Deep Learning with Scala

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