Machine Learning for Engineers

Machine Learning for Engineers
Author :
Publisher : Springer Nature
Total Pages : 252
Release :
ISBN-10 : 9783030703882
ISBN-13 : 3030703886
Rating : 4/5 (886 Downloads)

Book Synopsis Machine Learning for Engineers by : Ryan G. McClarren

Download or read book Machine Learning for Engineers written by Ryan G. McClarren and published by Springer Nature. This book was released on 2021-09-21 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now emerging. This text teaches state-of-the-art machine learning technologies to students and practicing engineers from the traditionally “analog” disciplines—mechanical, aerospace, chemical, nuclear, and civil. Dr. McClarren examines these technologies from an engineering perspective and illustrates their specific value to engineers by presenting concrete examples based on physical systems. The book proceeds from basic learning models to deep neural networks, gradually increasing readers’ ability to apply modern machine learning techniques to their current work and to prepare them for future, as yet unknown, problems. Rather than taking a black box approach, the author teaches a broad range of techniques while conveying the kinds of problems best addressed by each. Examples and case studies in controls, dynamics, heat transfer, and other engineering applications are implemented in Python and the libraries scikit-learn and tensorflow, demonstrating how readers can apply the most up-to-date methods to their own problems. The book equally benefits undergraduate engineering students who wish to acquire the skills required by future employers, and practicing engineers who wish to expand and update their problem-solving toolkit.


Machine Learning for Engineers Related Books

Machine Learning for Engineers
Language: en
Pages: 252
Authors: Ryan G. McClarren
Categories: Technology & Engineering
Type: BOOK - Published: 2021-09-21 - Publisher: Springer Nature

DOWNLOAD EBOOK

All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now emerging. Th
Machine Learning Engineering
Language: en
Pages: 302
Authors: Andriy Burkov
Categories:
Type: BOOK - Published: 2020-09-08 - Publisher: True Positive Incorporated

DOWNLOAD EBOOK

The most comprehensive book on the engineering aspects of building reliable AI systems. "If you intend to use machine learning to solve business problems at sca
Machine Learning Engineering in Action
Language: en
Pages: 574
Authors: Ben Wilson
Categories: Computers
Type: BOOK - Published: 2022-04-26 - Publisher: Simon and Schuster

DOWNLOAD EBOOK

Field-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from concept to production.
A Brief Introduction to Machine Learning for Engineers
Language: en
Pages: 250
Authors: Osvaldo Simeone
Categories: Technology & Engineering
Type: BOOK - Published: 2018-08-14 - Publisher:

DOWNLOAD EBOOK

There is a wealth of literature and books available to engineers starting to understand what machine learning is and how it can be used in their everyday work.
Probabilistic Machine Learning for Civil Engineers
Language: en
Pages: 298
Authors: James-A. Goulet
Categories: Computers
Type: BOOK - Published: 2020-03-16 - Publisher: MIT Press

DOWNLOAD EBOOK

An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step exampl