<p><span>Getting Data Science Done</span><span> outlines the essential stages in running successful data science projects.</span></p><p><span>Data science is a field that synthesizes statistics, computer science and business analytics to deliver results that can impact almost any type of process or
From Project to Production
β Scribed by A. M. Brichta, Peter E. M. Sharp, R Brown, G. Chandler and W. A. Davis (Auth.)
- Publisher
- Elsevier
- Year
- 1970
- Tongue
- English
- Leaves
- 313
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Content:
Dedication, Page ii
Front Matter, Page iii
Copyright, Page iv
LIST OF TABLES, PLATES AND ILLUSTRATIONS, Pages ix-xiv
PREFACE, Pages xv-xvi
ACKNOWLEDGEMENTS, Page xvii
CHAPTER 1 - INTRODUCTION, Pages 1-5,5a,5b,7-8
CHAPTER 2 - CONCEPTION OF DEVELOPMENT, Pages 9-42,42a
CHAPTER 3 - RATIONALISATION OF PROJECT WORK, Pages 43-62,62a,63-73
CHAPTER 4 - ENGINEERING DESIGN, Pages 74-90,90a,91-92
CHAPTER 5 - INDUSTRIAL DESIGN, Pages 93-122
CHAPTER 6 - OPTIMUM DESIGN, Pages 123-146,146a,147-177
CHAPTER 7 - INVENTIONS, PATENTS AND DESIGN REGISTRATION, Pages 178-194
CHAPTER 8 - DESIGN REALISATION, Pages 195-206,206a,207-216
CHAPTER 9 - MATERIAL AND STRESS ANALYSIS, Pages 217-249
CHAPTER 10 - MODELS AND PROTOTYPE, Pages 250-261
CHAPTER 11 - LAUNCHING A PRODUCT, Pages 262-282
INDEX, Pages 283-295
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