Clojure for machine learning

Clojure for machine learning: successfully leverage advanced machine learning techniques using the Clojure ecosystem

by Wali, Akhil

Type Book
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A book that brings out the strengths of Clojure programming that have to facilitate machine learning. Each topic is described in substantial detail, and examples and libraries in Clojure are also demonstrated. This book is intended for Clojure developers who want to explore the area of machine learning. Basic understanding of the Clojure programming language is required, but thorough acquaintance with the standard Clojure library or any libraries are not required. Familiarity with theoretical c…

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Title Statements

  • Full title :Clojure for machine learning : successfully leverage advanced machine learning techniques using the Clojure ecosystem / Akhil Wali ; cover image by Jarek Blaminsky.

Summary

A book that brings out the strengths of Clojure programming that have to facilitate machine learning. Each topic is described in substantial detail, and examples and libraries in Clojure are also demonstrated. This book is intended for Clojure developers who want to explore the area of machine learning. Basic understanding of the Clojure programming language is required, but thorough acquaintance with the standard Clojure library or any libraries are not required. Familiarity with theoretical concepts and notation of mathematics and statistics would be an added advantage.

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Edition Statements

  • Publication Date:©2014

Publication Statements

  • Publisher(s):Packt Publishing
  • Place of Publication:Birmingham, England
  • Language:eng
  • Publication Date:©2014

The Physical Object

  • Description:1 online resource (292 pages) : : illustrations (some color)

Edition Identifiers

  • ISBN:9781783284368, 1783284366, 1783284358, 9781783284351, 1306704561, 9781306704564
  • oclc:ocn880454401
  • LC Classification:QA76.73.J38
  • Dewey Decimal:005.133

Table of Contents

Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Working with Matrices; Introducing Leiningen; Representing matrices; Generating matrices; Adding matrices; Multiplying matrices; Transposing and inverting matrices; Interpolating using matrices; Summary; Chapter 2: Understanding Linear Regression; Understanding single-variable linear regression; Understanding gradient descent; Understanding multivariable linear regression; Gradient descent with multiple variables; Understanding ordinary least squares

Using linear regression for predictionUnderstanding regularization; Summary; Chapter 3: Categorizing Data; Understanding binary and multiclass classification; Understanding the Bayesian classification; Using the k-nearest neighbors algorithm; Using decision trees; Summary; Chapter 4: Building Neural Networks; Understanding nonlinear regression; Representing neural networks; Understanding multilayer perceptron ANNs; Understanding the backpropagation algorithm; Understanding recurrent neural networks; Building SOMs; Summary; Chapter 5: Selecting and Evaluating Data

Understanding underfitting and overfittingEvaluat…

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Subjects

Clojure (Computer program language) Clojure (Langage de programmation) COMPUTERS -- Programming Languages Java (Computer program language) Java (Langage de programmation) Java virtual machine

Writers

Wali, Akhil Blaminsky, Jarek

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