Data Science for Engineers

Synopsis

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.

The book-

Provides a systematic approach for understanding data science techniques. Explain 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.

The 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.

Copyright:

2023

Book Details

Book Quality:

Publisher Quality

Book Size:

344 Pages

ISBN-13:

9781000813333

Related ISBNs:

9780367754266, 9781032405490, 9781003353584

Publisher:

CRC Press

Date of Addition:

01/24/23

Copyrighted By:

Raghunathan Rengaswamy and Resmi Suresh

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Science, Technology

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.