Fundamentals of Data Science Trilogy: Experiment-Model-Learn - Hardcover

Maruskin, Jared M

Hardcover

ISBN 10: 1941043038 ISBN 13: 9781941043035

Verlag: Cayenne Canyon Press, 2022

Inhaltsangabe

In this series, we cover statistical experimentation, modeling, and machine learning, focusing on:

• basic statistics, hypothesis testing, and experimentation
• validation methodology
• linear and logistic regression; generalized linear models
• causality
• time series analysis
• Bayesian statistics
• clustering
• decision trees, random forests, and boosted forests
• artificial neural networks and deep learning
• reinforcement learning

Our focus is on mathematical derivations, algorithmic development, and programming. We use Python throughout the text to support our theory. All machine learning techniques are coded from scratch using Python.

Details zur Ausgabe

• Verlag: Cayenne Canyon Press
• Erscheinungsdatum: 2022
• Sprache: Englisch
• ISBN 10: 1941043038
• ISBN 13: 9781941043035
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 892
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland