Data Science for Engineers by Raghunathan Rengaswamy
Date: 22 September 2026 | Posted by: BeMyLove
Data Science for Engineers by Raghunathan Rengaswamy | 5.75 MB
Title: Data Science for Engineers by Raghunathan Rengaswamy
Author: Rengaswamy, Raghunathan, Suresh, Resmi
Category: Statistics, Database Management, Chemical & Biochemical, Mathematics, Automation, Technology, General Computing
Language: English | ISBN: 9781000813333
Description:
With tremendous improvement in computational power and availability of rich data, almost all engineering disciplines use data science at some level. This textbook presents material on data science comprehensively, and in a structured manner. It provides conceptual understanding of the fields of data science, machine learning, and artificial intelligence, with enough level of mathematical details necessary for the readers. This will help readers understand major thematic ideas in data science, machine learning and artificial intelligence, and implement first-level data science solutions to practical engineering problems. This book Provides a systematic approach for understanding data science techniques Explains why machine learning techniques are able to cross-cut several disciplines. Covers topics including statistics, linear algebra and optimization from a data science perspective. Provides multiple examples to explain the underlying ideas in machine learning algorithms Describes several contemporary machine learning algorithms This textbook is primarily written for undergraduate and senior undergraduate students in different engineering disciplines including chemical engineering, mechanical engineering, electrical engineering, electronics and communications engineering for courses on data science, machine learning and artificial intelligence.
DOWNLOAD:
https://rapidgator.net/file/971d7e2be614485cf1094fd1bc8a0467/Data_Science_for_Engineers_by_Raghunathan_Rengaswamy.rar
https://nitroflare.com/view/165CBCC0F36FDA8/Data_Science_for_Engineers_by_Raghunathan_Rengaswamy.rar
With tremendous improvement in computational power and availability of rich data, almost all engineering disciplines use data science at some level. This textbook presents material on data science comprehensively, and in a structured manner. It provides conceptual understanding of the fields of data science, machine learning, and artificial intelligence, with enough level of mathematical details necessary for the readers. This will help readers understand major thematic ideas in data science, machine learning and artificial intelligence, and implement first-level data science solutions to practical engineering problems. This book Provides a systematic approach for understanding data science techniques Explains why machine learning techniques are able to cross-cut several disciplines. Covers topics including statistics, linear algebra and optimization from a data science perspective. Provides multiple examples to explain the underlying ideas in machine learning algorithms Describes several contemporary machine learning algorithms This textbook is primarily written for undergraduate and senior undergraduate students in different engineering disciplines including chemical engineering, mechanical engineering, electrical engineering, electronics and communications engineering for courses on data science, machine learning and artificial intelligence.
DOWNLOAD:
https://rapidgator.net/file/971d7e2be614485cf1094fd1bc8a0467/Data_Science_for_Engineers_by_Raghunathan_Rengaswamy.rar
https://nitroflare.com/view/165CBCC0F36FDA8/Data_Science_for_Engineers_by_Raghunathan_Rengaswamy.rar
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