MACHINE LEARNING. SUPERVISED LEARNING THROUGH PYTHON: SCIKIT LEARN (ePub)
(Sprache: Englisch)
The goal of supervised machine learning is to build a model that makes evidence-based predictions in the presence of uncertainty. A supervised learning algorithm takes a known set of input data and known responses to the data (output) and trains a model to...
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Produktinformationen zu „MACHINE LEARNING. SUPERVISED LEARNING THROUGH PYTHON: SCIKIT LEARN (ePub)“
The goal of supervised machine learning is to build a model that makes evidence-based predictions in the presence of uncertainty. A supervised learning algorithm takes a known set of input data and known responses to the data (output) and trains a model to generate reasonable predictions for the response to new data. Supervised learning uses classification and regression techniques to develop predictive models. This book develops Machine Learning techniques for supervised learning and illustrates them with fully solved examples using appropriate software. The Python language and its libraries suitable for Machine Learning will be used, especially the Scikit Learn library.
Bibliographische Angaben
- Autor: César Pérez López
- 2022, Englisch
- Verlag: Lulu.com
- ISBN-10: 1471024431
- ISBN-13: 9781471024436
- Erscheinungsdatum: 16.10.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 14 MB
- Ohne Kopierschutz
Sprache:
Englisch
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