£99.05

World Scientific Publishing Company World Scientific Mathematical Analysis for Machine Learning Book

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Description

Bridge the gap between standard computer science curricula and the advanced mathematical requirements of modern data science. This compendium from World Scientific Publishing Company offers a self-contained introduction to mathematical analysis specifically tailored for the fields of machine learning and data mining. Many traditional mathematics courses for computer science students omit the specific techniques required to master specialized areas of machine learning. This book addresses that gap by focusing on the mathematical foundations necessary for optimization-centered topics. Readers will gain the theoretical background needed to understand the mechanics behind support vector machines, neural networks, various regression models, feature selection, and clustering techniques. Designed for academic and professional advancement, this text serves as a vital resource for researchers and graduate students. By providing the indispensable mathematical tools used in today's most advanced algorithms, it helps learners move beyond basic programming into a deeper understanding of how machine learning and data mining models actually function.

Key Features

Provides a self-contained introduction to mathematical analysis designed specifically for machine learning and data mining applications.

Addresses essential mathematical gaps often found in standard computer science curricula to prepare students for advanced research.

Covers fundamental optimization techniques required for understanding support vector machines and neural networks.

Offers theoretical foundations for mastering various types of regression, feature selection, and clustering methods.

Serves as a targeted resource for graduate students and researchers looking to deepen their mathematical expertise in AI.

Product Specifications

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

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