Concise Metals Engineering Data Book

Concise Metals Engineering Data Book
Author :
Publisher : ASM International
Total Pages : 257
Release :
ISBN-10 : 9781615039838
ISBN-13 : 161503983X
Rating : 4/5 (83X Downloads)

Book Synopsis Concise Metals Engineering Data Book by : Joseph R. Davis

Download or read book Concise Metals Engineering Data Book written by Joseph R. Davis and published by ASM International. This book was released on 1997-01-01 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Concise Metals Engineering Data Book Related Books

Concise Metals Engineering Data Book
Language: en
Pages: 257
Authors: Joseph R. Davis
Categories: Technology & Engineering
Type: BOOK - Published: 1997-01-01 - Publisher: ASM International

GET EBOOK

Data-Driven Science and Engineering
Language: en
Pages: 615
Authors: Steven L. Brunton
Categories: Computers
Type: BOOK - Published: 2022-05-05 - Publisher: Cambridge University Press

GET EBOOK

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
ASME Engineer's Data Book
Language: en
Pages: 388
Authors: Clifford Matthews
Categories: Technology & Engineering
Type: BOOK - Published: 2005 - Publisher: American Society of Mechanical Engineers

GET EBOOK

This greatly expanded second edition of this popular and handy reference book includes over 100 new pages, including extensive coverage of Section VIII of the A
Data Engineering on Azure
Language: en
Pages: 334
Authors: Vlad Riscutia
Categories: Computers
Type: BOOK - Published: 2021-08-17 - Publisher: Simon and Schuster

GET EBOOK

Build a data platform to the industry-leading standards set by Microsoft’s own infrastructure. Summary In Data Engineering on Azure you will learn how to: Pic
Perspectives on Data Science for Software Engineering
Language: en
Pages: 410
Authors: Tim Menzies
Categories: Computers
Type: BOOK - Published: 2016-07-14 - Publisher: Morgan Kaufmann

GET EBOOK

Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was cr