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What Every Engineer Should Know About Data-Driven Analytics

Language EnglishEnglish
Book Paperback
Book What Every Engineer Should Know About Data-Driven Analytics Srinivasan
Libristo code: 42684611
Publishers Taylor & Francis Ltd, April 2023
What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to... Full description
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What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the machine learning theoretical concepts and approaches that are used in predictive data analytics through practical applications and case studies.

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About the book

Full name What Every Engineer Should Know About Data-Driven Analytics
Author Srinivasan, Satish Mahadevan (Penn State Great Valley, USA), Phillip A. Laplante
Language English
Binding Book - Paperback
Date of issue 2023
Number of pages 312
EAN 9781032235400
Libristo code 42684611
Publishers Taylor & Francis Ltd
Weight 442
Dimensions 156 x 234

Categories

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering
Technology, Engineering, Agriculture > Technology: general issues > Engineering: general
Technology, Engineering, Agriculture > Energy technology & engineering > Electrical engineering
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Computer programming / software engineering > Software Engineering
Mathematics & Science > Mathematics
Technology, Engineering, Agriculture > Environmental science, engineering & technology
Computing & Information Technology > Information technology: general issues
Computing & Information Technology > Computer science
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