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portada Numerical Machine Learning
Type
Physical Book
Publisher
Author
Language
English
Format
Paperback
ISBN13
9789815165005

Numerical Machine Learning

Sayed Ameenuddin Irfan (Author) · Bentham Science Pub, · Paperback

Numerical Machine Learning - Sayed Ameenuddin Irfan

New Book Imported to Taiwan
Delivery: 06 Oct - 14 Oct Shipping: 6 to 7 business days.
NT$ 2,145
NT$ 2,145

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Synopsis "Numerical Machine Learning"

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.

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The binding of this edition is Paperback.

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