Numerical Machine Learning

Wang, Zhiyuan; Irfan, Sayed Ameenuddin; Teoh, Christopher; Bhoyar, Priyanka Hriday

ISBN 10: 9815165003 / ISBN 13: 9789815165005

Verlag: Bentham Science Publishers, 2023

SUPER FAST SHIPPING. Bestandsnummer des Verkäufers 9789815165005

Inhaltsangabe:

Numerical Machine Learning is a simple textbook on machine learning that bridges the gap between mathematics theory and practice. The book uses numerical examples with small datasets and simple Python codes to provide a complete walkthrough of the underlying mathematical steps of seven commonly used machine learning algorithms and techniques, including linear regression, regularization, logistic regression, decision trees, gradient boosting, Support Vector Machine, and K-means Clustering.

Through a step-by-step exploration of concrete numerical examples, the students (primarily undergraduate and graduate students studying machine learning) can develop a well-rounded understanding of these algorithms, gain an in-depth knowledge of how the mathematics relates to the implementation and performance of the algorithms, and be better equipped to apply them to practical problems.

Key features

-Provides a concise introduction to numerical concepts in machine learning in simple terms

-Explains the 7 basic mathematical techniques used in machine learning problems, with over 60 illustrations and tables

-Focuses on numerical examples while using small datasets for easy learning

-Includes simple Python codes

-Includes bibliographic references for advanced reading

The text is essential for college and university-level students who are required to understand the fundamentals of machine learning in their courses.

Bibliografische Details

Titel: Numerical Machine Learning
Verlag: Bentham Science Publishers
Erscheinungsdatum: 2023
Einband: Softcover
Zustand: New