Cover Image
Read Now

Machine learning algorithms popular algorithms for data science and machine learning

Machine learning has gained tremendous popularity for its powerful and fast predictions with large datasets. However, the true forces behind its powerful output are the complex algorithms involving substantial statistical analysis that churn large datasets and generate substantial insight. This seco...

Full description

Bibliographic Details
Main Author: Bonaccorso, Giuseppe
Format: eBook
Language:English
Published: Birmingham, UK Packt Publishing 2018
Edition:Second edition
Subjects:
Computer Algorithms / Fast
Algorithms
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Computer Algorithms / Http://id.loc.gov/authorities/subjects/sh91000149
Algorithmes
Algorithms / Aat
Machine Learning / Fast
Apprentissage Automatique
Machine Learning
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Machine learning algorithms : popular algorithms for data science and machine learning
  • Dedication
  • Packt Upsell
  • Contributors
  • Table of Contents
  • Preface
  • Chapter 1: A Gentle Introduction to Machine Learning
  • Chapter 2: Important Elements in Machine Learning
  • Chapter 3: Feature Selection and Feature Engineering
  • Chapter 4: Regression Algorithms
  • Chapter 5: Linear Classification Algorithms
  • Chapter 6: Naive Bayes and Discriminant Analysis
  • Chapter 7: Support Vector Machines
  • Chapter 8: Decision Trees and Ensemble Learning
  • Chapter 9: Clustering Fundamentals
  • Chapter 10: Advanced Clustering
  • Chapter 11: Hierarchical Clustering
  • Chapter 12: Introducing Recommendation Systems
  • Chapter 13: Introducing Natural Language Processing
  • Chapter 14: Topic Modeling and Sentiment Analysis in NLP
  • Chapter 15: Introducing Neural Networks
  • Chapter 16: Advanced Deep Learning Models
  • Chapter 17: Creating a Machine Learning Architecture
  • Other Books You May Enjoy
  • Index

Similar Items