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Scala for machine learning : data processing, ML algorithms, smart analytics, and more /

Leverage Scala and Machine Learning to study and construct systems that can learn from data About This Book Explore a broad variety of data processing, machine learning, and genetic algorithms through diagrams, mathematical formulation, and updated source code in Scala Take your expertise in Scala p...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Nicolas, Patrick R. (Auteur)
Format: Électronique eBook
Langue:Inglés
Publié: Birmingham, UK : Packt Publishing, 2017.
Édition:Second edition.
Sujets:
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Table des matières:
  • Scala for machine learning : data processing, ML algorithms, smart analytics, and more, second edition
  • Credits
  • About the Author
  • About the Reviewers
  • www.PacktPub.com
  • Customer Feedback
  • Table of Contents
  • Preface
  • Chapter 1: Getting Started
  • Chapter 2: Data Pipelines
  • Chapter 3: Data Preprocessing
  • Chapter 4: Unsupervised Learning
  • Chapter 5: Dimension Reduction
  • Chapter 6: Naïve Bayes Classifiers
  • Chapter 7: Sequential Data Models
  • Chapter 8: Monte Carlo Inference
  • Chapter 9: Regression and Regularization
  • Chapter 10: Multilayer Perceptron
  • Chapter 11: Deep Learning
  • Chapter 12: Kernel Models and SVM
  • Chapter 13: Evolutionary Computing
  • Chapter 14: Multiarmed Bandits
  • Chapter 15: Reinforcement Learning
  • Chapter 16: Parallelism in Scala and Akka
  • Chapter 17: Apache Spark MLlib
  • Appendix A: Basic Concepts
  • Appendix B: References.