• Produktbild: Machine Learning for Knowledge Discovery with R
  • Produktbild: Machine Learning for Knowledge Discovery with R

Machine Learning for Knowledge Discovery with R Methodologies for Modeling, Inference and Prediction

76,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.09.2023

Abbildungen

98 SW-Abb., 98 SW-Zeichn.

Verlag

Taylor & Francis

Seitenzahl

262

Maße (L/B/H)

23,4/15,6/1,4 cm

Gewicht

404 g

Sprache

Englisch

ISBN

978-1-03-207159-6

Beschreibung

Rezension

"A knowledgeable applied statistician with good math skills will likely appreciate the brevity of this presentation, as well as its clear descriptions about how to easily apply the methods in R. This book is likely best used as a quick reference for those already familiar with these methods, for when one wants to aplly a particular machine learning method."

Amit K. Chowdhry, University of Rochester, USA, Royal Statistical Society, Series A: Statistics in Society.

"I will definitely recommend this book without any reservation to individuals in data science or associated disciplines that utilize machine learning and predictive modelling strategies for quantitatively making inference of data sets."

- Reuben Adatorwovor, ISCB News, September 2022.

"This book is a must-read for those involved in data science, machine learning, and statistical analysis. It provides the necessary tools and knowledge to understand and apply various techniques in data analysis. I highly recommend this book for academics, professionals, and enthusiasts interested in advancing their understanding of machine learning and statistical analysis. This book promises to enlighten readers on the theory and equip them with the practical skills to apply these concepts in real-world situations."

- Aszani Aszani, Universitas Gadjah Mada, Indonesia, Technometrics, November 2023.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.09.2023

Abbildungen

98 SW-Abb., 98 SW-Zeichn.

Verlag

Taylor & Francis

Seitenzahl

262

Maße (L/B/H)

23,4/15,6/1,4 cm

Gewicht

404 g

Sprache

Englisch

ISBN

978-1-03-207159-6

EU-Ansprechpartner

Taylor & Francis Verlag GmbH
Kaufingerstraße 24
80331 München
DE
GPSR@taylorandfrancis.com

Herstelleradresse

Taylor & Francis Group
5 Howick Place
SW1P 1WG London
UK
GPSR@taylorandfrancis.com

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  • Produktbild: Machine Learning for Knowledge Discovery with R
  • Produktbild: Machine Learning for Knowledge Discovery with R
  • 1. Statistical Data Analysis. 2. Examining Data Distribution. 3. Regression with Shrinkage. 4. Recursive Partitioning Modeling. 5. Support Vector Machines. 6. Cluster Analysis. 7. Neural Networks. 8. Causal Inference and Matching. 9. Business and Commercial Data Modeling. 10. Analysis of Response Profiles.