Numerical Machine Learning

Publisher:Bentham Science

By: Zhiyuan Wang, Sayed Ameenuddin Irfan, Christopher Teoh and Priyanka Hriday Bhoyar

Paid access

|Jan 2025

E-Book €44.99Institutions €176.95

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E-Book €44.99Institutions €176.95

This title is not yet available for download

Description

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.

Audience

College and university level students and instructors.

Authors

Metrics

PDF ISBN: 978-981-5136-98-2

Publisher: Bentham Science

Publication date: 2025

Language: English

Pages: 221

Related subjects:

Computer sciences,

Artificial intelligence

BISAC subjects:

COM094000

Thema subjects:

UYQM

Numerical Machine Learning

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