Cover of An Introduction to Optimization with Applications in Machine Learning and Data Analytics

An Introduction to Optimization with Applications in Machine Learning and Data Analytics

Jeffrey Paul Wheeler
Publisher: CRC Press
Published: 2024
ISBN-13: 9781032615905
ISBN-10: 1032615907
Pages: 448
Subjects: Mathematics / General, Mathematics / Probability & Statistics / General, Mathematics / Optimization
1 study resource available for this textbook

About An Introduction to Optimization with Applications in Machine Learning and Data Analytics

"The primary goal of this text is a practical one. Equipping students with the enough knowledge and creating an independent research platform, the author strives to prepare students for professional careers. Providing students with a marketable skill set requires topics from many areas of optimization. The initial goal of this text is to develop marketable skill set for mathematics majors but also for students of engineering, computer science, economics, statistics, and business. Optimization reaches into many different fields. This text provides a balance where one is needed. Mathematics optimization books are often too heavy on theory without enough applications; texts aimed at business students are often strong on applications, but weak on math. The book represents an attempt at overcoming this imbalance for all students taking such a course. The book contains many applications but also explains the mathematics behind the techniques. There are even definitions and theorems. Optimiza...

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