Machine Learning with R | Prepare and process data with H2O and Keras

Uli Schell

ISBN 10: 398257630X / ISBN 13: 9783982576305

Verlag: Self Publishing, 2023

Machine Learning with R | Prepare and process data with H2O and Keras | Uli Schell | Taschenbuch | Englisch | 2023 | Self Publishing | EAN 9783982576305 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 127740912

Inhaltsangabe:

• Basics and examples
• Visualize and analyze data
• Assess and transfer learning outcomes
• With many examples in R to download
• How do you teach computers to learn from data?

This hands-on introduction teaches the basics of machine learning with R, H2O, and Keras using numerous examples. You will be able to select the appropriate approach and apply it to your own questions such as image classification or predictions.
Since erroneous data can jeopardize learning success, special attention is paid to data preparation and analysis. For this purpose, R provides highly developed and scientifically sound analysis libraries, the functionality and application of which are shown.
You will learn for which applications statistical methods such as regression, classification, factor, cluster and time series analysis are sufficient and when it is better to use neural networks such as e.g. B. CNNs or RNNs should work. The H20 framework and Keras are used here.
Examples show how you can analyze stumbling blocks in the learning process or how to avoid them from the outset. You will also learn under what circumstances you can reuse the results of machine learning and how to do this.

This book is a translation of “Maschinelles Lernen mit R”, Carl Hanser Verlag, ISBN 978-3446471658

Über die Autorin bzw. den Autor: - Software developer at BBC AG and SAP AG- Professor at Kaiserslautern University of Applied Sciences

Bibliografische Details

Titel: Machine Learning with R | Prepare and ...
Verlag: Self Publishing
Erscheinungsdatum: 2023
Einband: Taschenbuch
Zustand: Neu