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World Scientific Publishing Company Mathematical Analysis for Machine Learning and Data Mining

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£109.18 £87.36 £92.12 £96.88 £101.64 £106.40 £111.16 09 July 2026 15 July 2026 22 July 2026 28 July 2026 04 August 2026

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Description

This self-contained compendium introduces mathematical analysis methods essential for machine learning and data mining applications. Designed for computer science students and researchers, it bridges the gap between standard mathematical curricula and specialised machine learning techniques. The book covers critical mathematical foundations for optimisation-based approaches including support vector machines, neural networks, regression methods, feature selection, and clustering algorithms. Ideal for graduate students and researchers seeking rigorous mathematical underpinnings for advanced machine learning work, this World Scientific Publishing Company resource equips you with theoretical knowledge indispensable for tackling contemporary data science challenges and understanding the mathematical principles driving modern machine learning systems.

Key Features

Mathematical Analysis for Machine Learning covers optimisation techniques fundamental to support vector machines, neural networks, and regression methods.

This World Scientific Publishing Company text provides self-contained introduction suitable for computer science students without extensive prerequisite knowledge.

The compendium addresses feature selection and clustering through rigorous mathematical analysis methods often omitted from standard curricula.

Designed for graduate students and researchers needing theoretical mathematical foundations for specialised machine learning applications.

Bridges the gap between traditional mathematical education and practical machine learning implementation requirements.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
22 July 2018
Listed Since
09 August 2017

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