Analytics and Tech Mining for Engineering Managers
Language: English
Published by Momentum Press, 2016
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 69.82
Quantity: 1 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - This book offers practical tools in Python to students of innovation, as well as competitive intelligence professionals, to track new developments in science, technology, and innovation. The book will appeal to both-tech-mining and data science audiences. For tech-mining audiences, Python presents an appealing, all-in-one language for managing the tech-mining process. The book is a complement to other introductory books on the Python language, providing recipes with which a practitioner can grow a practice of mining text. For data science audiences, this book gives a succinct overview over the most useful techniques of text mining. The book also provides relevant domain knowledge from engineering management; so, an appropriate context for analysis can be created. This is the first book of a two-book series. This first book discusses the mining of text, while the second one describes the analysis of text. This book describes how to extract actionable intelligence from a variety of sources including scientific articles, patents, pdfs, and web pages. There is a variety of tools available within Python for mining text. In particular, we discuss the use of pandas, BeautifulSoup, and pdfminer.…
Seller Inventory # 9781606505106
- Title
- Analytics and Tech Mining for Engineering Managers
- Author
- Scott W. Cunningham
- Publisher
- Momentum Press
- Publication year
- 2016
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1606505106
- ISBN 13
- 9781606505106
- Item weight
- 223 grams
- Dimensions
- 229x152x8 mm
"Synopsis" may belong to another edition of this title.
About the Author
Jan Kwakkel is an assistant professor at Delft University of Technology. His research focusses on model-based support for decision making, with a particular focus on the treatment of uncertainty. Text mining, and more general machine learning techniques, are important in his research. He has applied his research in various domains including transport, water, and energy.
"About the title" may belong to another edition of this title.
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|---|---|---|
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