Mathematical Foundations of Data Science

Lingua: inglese

Editore: Springer International Publishing AG, 2023

3031190734 / 9783031190735

Serie: Libro 75 di 83 - Texts in Computer Science

Da: World of Books Inc, Montgomery, IL, U.S.A.World of Books Inc

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Venditore AbeBooks dal 23 marzo 2026

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Descrizione dell’articolo da parte del venditore

This textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring:  Which are the principles necessary to understand the implications of an application, and which are necessary to understand the conditions for the success of methods used? Theory is presented only to the degree necessary to apply it properly, striving for the balance between excessive complexity and oversimplification.  Its primary focus is on principles crucial for application success.  Topics and features:Focuses on approaches supported by mathematical arguments, rather than sole computing experiencesInvestigates conditions under which numerical algorithms used in data science operate, and what performance can be expected from themConsiders key data science problems: problem formulation including optimality measure; learning and generalization in relationships to training set size and number of free parameters; and convergence of numerical algorithmsExamines original mathematical disciplines (statistics, numerical mathematics, system theory) as they are specifically relevant to a given problemAddresses the trade-off between model size and volume of data available for its identification and its consequences for model parametrizationInvestigates the mathematical principles involves with natural language processing and computer visionKeeps subject coverage intentionally compact, focusing on key issues of each topic to encourage full comprehension of the entire bookAlthough this core textbook aims directly at students of computer science and/or data science, it will be of real appeal, too, to researchers in the field who want to gain a proper understanding of the mathematical foundations ?beyond? the sole computing experience. …

Codice articolo CIN3031190734G

Titolo
Mathematical Foundations of Data Science
Autore
Tomas Hrycej
Editore
Springer International Publishing AG
Anno di pubblicazione
2023
Condizione
Good
Rilegatura
Hardback
Lingua
inglese
ISBN 10
3031190734
ISBN 13
9783031190735
Serie
Libro 75 di 83: Texts in Computer Science

World of Books Inc

Montgomery, IL, U.S.A.

Venditore con 4 stelle

Venditore AbeBooks dal 23 marzo 2026

Tariffe di spedizione nazionale per U.S.A.

ArticoloDa 4 a 12 giorni lavorativiDa 3 a 6 giorni lavorativi
Primo articoloEUR 0,00EUR 9,66
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Founded in 2002, World of Books is a leading online destination for buying and selling both preloved and new books, committed to making sustainable reading accessible to all. With a mission to help people read more and waste less, World of Books offers a huge range of affordable, high-quality books — giving both new and preloved titles a second life. The company also operates World of Books – Sell Your Books, an easy-to-use platform that allows customers to trade in unwanted books for cash, helping to keep books in circulation while promoting sustainability. As a Certified B Corp, World of Books is driven by a vision to become the world’s largest and most sustainable dedicated online bookstore. The company measures its success through the positive environmental impact it creates, the value it provides to customers, and its ability to operate profitably while supporting its sustainable mission …

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