Machine Learning with Scala Quick Start Guide

Karim, MD Rezaul

  • 出版商: Packt Publishing
  • 出版日期: 2019-04-30
  • 售價: $1,340
  • 貴賓價: 9.5$1,273
  • 語言: 英文
  • 頁數: 220
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1789345073
  • ISBN-13: 9781789345070
  • 相關分類: JVM 語言Machine Learning
  • 下單後立即進貨 (約3~4週)

商品描述

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.