Mathematical Foundations For Data Analysis
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Language: en
Pages: 299
Pages: 299
Type: BOOK - Published: 2021-03-29 - Publisher: Springer Nature
This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data
Language: en
Pages: 287
Pages: 287
Type: BOOK - Published: 2022-03-31 - Publisher: Springer
This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data
Language: en
Pages: 287
Pages: 287
Type: BOOK - Published: 2021-04-17 - Publisher: Springer
This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data
Language: en
Pages: 444
Pages: 444
Type: BOOK - Published: 2022-10-24 - Publisher: Walter de Gruyter GmbH & Co KG
The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to
Language: en
Pages: 274
Pages: 274
Type: BOOK - Published: 2021-02-11 - Publisher: Springer Nature
In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made.
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