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Machine-shop Mathematics
Author: George Wentworth
Publisher:
Published: 1922
Total Pages: 176
ISBN-13:
DOWNLOAD EBOOK →"This work has been prepared to meet the needs of students who expect to become machinists, either in the special line of automobile construction or in the more general lines of the machine shop. It is therefore strictly limited in scope to the needs of those who are entering upon this kind of work, and it treats only of such topics as experience has shown are demanded by the practical machinist who is determined to advance in his vocation."--Preface.
Machine-shop Arithmetic; Shows how All Shop Problems are Worked Out and "why." Includes Change Gears for Cutting Any Threads; Drills, Taps, Shink and Force Fits; Metric System of Measurements and Threads
MacHine Shop Arithmetic
Author: Fred Herbert Colvin
Publisher: Kessinger Publishing
Published: 2008-10-01
Total Pages: 176
ISBN-13: 9781437065947
DOWNLOAD EBOOK →This scarce antiquarian book is a facsimile reprint of the original. Due to its age, it may contain imperfections such as marks, notations, marginalia and flawed pages. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions that are true to the original work.
Shop Arithmetic for the Machinist
Mathematics for Machine Learning
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
Published: 2020-04-23
Total Pages: 392
ISBN-13: 1108569323
DOWNLOAD EBOOK →The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Shop Mathematics
Technical Shop Mathematics
Author: John G. Anderson
Publisher: Industrial Press Inc.
Published: 1983
Total Pages: 554
ISBN-13: 9780831111458
DOWNLOAD EBOOK →Contains a larger, easier to read two-color format with improved flow between topics.Provides clear explanations that build on the strengths which have made this book a standard for more than 25 years.Includes an introduction to Statistics which is needed for many technical trades and not offered in most similar texts.Presents sufficient material for a very full one-semester course or for two standard lecture courses.
Shop Arithmetic for the Machinist
Author: Erik Oberg
Publisher:
Published: 1921-01-31
Total Pages: 126
ISBN-13: 9781548674069
DOWNLOAD EBOOK →Shop Arithmetic for the Machinist: A Treatise Dealing with Common Machine Shop and Tool-Room by Erik Oberg, first published in 1921, is a rare manuscript, the original residing in one of the great libraries of the world. This book is a reproduction of that original, which has been scanned and cleaned by state-of-the-art publishing tools for better readability and enhanced appreciation. Restoration Editors' mission is to bring long out of print manuscripts back to life. Some smudges, annotations or unclear text may still exist, due to permanent damage to the original work. We believe the literary significance of the text justifies offering this reproduction, allowing a new generation to appreciate it.
Mathematics for Machinists
