Articoli correlati a Practical Machine Learning in R

Practical Machine Learning in R - Brossura

Nwanganga, Fred; Chapple, Mike

 
9781119591511: Practical Machine Learning in R
Brossura
ISBN 10: 1119591511 ISBN 13: 9781119591511
Casa editrice: Wiley, 2020

Sinossi

Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming language

Machine learning―a branch of Artificial Intelligence (AI) which enables computers to improve their results and learn new approaches without explicit instructions―allows organizations to reveal patterns in their data and incorporate predictive analytics into their decision-making process. Practical Machine Learning in R provides a hands-on approach to solving business problems with intelligent, self-learning computer algorithms. 

Bestselling author and data analytics experts Fred Nwanganga and Mike Chapple explain what machine learning is, demonstrate its organizational benefits, and provide hands-on examples created in the R programming language. A perfect guide for professional self-taught learners or students in an introductory machine learning course, this reader-friendly book illustrates the numerous real-world business uses of machine learning approaches. Clear and detailed chapters cover data wrangling, R programming with the popular RStudio tool, classification and regression techniques, performance evaluation, and more. 

  • Explores data management techniques, including data collection, exploration and dimensionality reduction
  • Covers unsupervised learning, where readers identify and summarize patterns using approaches such as apriori, eclat and clustering
  • Describes the principles behind the Nearest Neighbor, Decision Tree and Naive Bayes classification techniques
  • Explains how to evaluate and choose the right model, as well as how to improve model performance using ensemble methods such as Random Forest and XGBoost

Practical Machine Learning in R is a must-have guide for business analysts, data scientists, and other professionals interested in leveraging the power of AI to solve business problems, as well as students and independent learners seeking to enter the field.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
Wiley
Data di pubblicazione
2020
Lingua
Inglese
ISBN 10 
1119591511
ISBN 13 
9781119591511
Rilegatura
Copertina flessibile
Numero di pagine
464
Contatto del produttore
non disponibile
Persona responsabile
non disponibile