Get Free Ebook The Accidental SuperheroineBy J.R. Rain, Kris Carey

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The Accidental SuperheroineBy J.R. Rain, Kris Carey

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When newly-coined physicist Mira Verborgen is chosen for a cushy internship at CERN, she did not expect to end up working side by side with sensitive European hottie, Giancarlo Colombo, or the sudden-onset case of butterflies whenever he’s around.

Nor did she expect the two of them to end up the inadvertent subjects of a megalomaniac Russian scientist’s deadly energy experiment. Instead of their budding relationship being cut short along with their material existence, the pair develops a startling mutation. A mutation that puts them in the crosshairs of Swiss, French, and American governments - not to mention the dastardly Dr. Orlov.

With CERN held hostage by Orlov and his rapidly-evolving superpowers, do Mira and Giancarlo have what it takes to own their mutation and protect the free world, before it’s too late?

• Sales Rank: #436863 in eBooks
• Published on: 2015-08-03
• Released on: 2015-08-03
• Format: Kindle eBook

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Download Project Management for ConstructionBy David L. Goetsch

Download Project Management for ConstructionBy David L. Goetsch

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Project Management for ConstructionBy David L. Goetsch

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The only complete, up-to-date guide to construction project management that fully aligns with the latest PMBOK standards.

 

Project Management for Construction is the up-to-date guide to construction-specific project management that fully reflects the latest standards in the "Project Management Body of Knowledge" (PMBOK). Unlike competitive texts, it covers not just project management process skills, but also crucial people skills such as teambuilding, communication, conflict management, leadership, motivation, decision-making, and negotiation. Topics covered include: project integration, scope management, time management, cost management, quality management, HR management, communication management, risk management, and procurement management. Readers will find up-to-date project management information related to LEED and green building construction, as well as introductions to all leading approaches to cost estimating, including CSI divisions, R.S. Means Assemblies Cost Data, and UNIFORMAT divisions. Throughout, key concepts are supported with a comprehensive package of pedagogical material, and teaching/learning aids provided in no other construction project management text.

 

Teaching and Learning Experience

 

This book will help construction professionals quickly master the best practices of construction project management. It provides:

• Comprehensive construction-specific coverage fully aligned to the Project Management Body of Knowledge (PMBOK): Thoroughly in accordance with the latest standards in the "Project Management Body of Knowledge" (PMBOK), and focused entirely on construction — not a generic text that only touches on construction in passing
• Up-to-date coverage of the latest construction industry trends as they relate to project management: Addresses important trends such as LEED and green construction, as well as all leading forms of cost estimation
• Hands-on focus, comprehensive pedagogical tools, and support for flexible approaches to teaching and learning: Supported by comprehensive pedagogical tools, and designed for both classroom and online learning in a wide range of programs  

• Sales Rank: #464427 in Books
• Published on: 2014-01-10
• Original language: English
• Number of items: 1
• Dimensions: 9.20" h x .40" w x 7.40" l, 1.45 pounds
• Binding: Hardcover
• 352 pages

About the Author
David Goetsch, Ph.D., was recognized as Technical Instructor of the Year by the U.S. Department of Education in 1984. In 1986, he was honored as Technical Educator of the Year by the Florida Vocational Association. A member of the American Management Association, the Florida Association of Community Colleges, and the American Society for Quality, Goetsch currently serves as vice president and professor emeritus at Northwest Florida State College.

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Download PDF Natural Language Processing for Social Media (Synthesis Lectures on Human Language Technologies)By Atefeh Farzindar, Diana Inkpen

Download PDF Natural Language Processing for Social Media (Synthesis Lectures on Human Language Technologies)By Atefeh Farzindar, Diana Inkpen

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Natural Language Processing for Social Media (Synthesis Lectures on Human Language Technologies)By Atefeh Farzindar, Diana Inkpen

Download PDF Natural Language Processing for Social Media (Synthesis Lectures on Human Language Technologies)By Atefeh Farzindar, Diana Inkpen

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This book presents the state-of-the-art in research and empirical studies in the field of Natural Language Processing (NLP) for the semantic analysis of social media data. Over the past few years, online social networking sites have revolutionized the way we communicate with individuals, groups and communities, and altered everyday practices. The unprecedented volume and variety of user-generated content and the user interaction network constitute new opportunities for understanding social behavior and building socially intelligent systems.

Much research work on social networks and the mining of the social web is based on graph theory. That is apt because a social structure is made up of a set of social actors and a set of the dyadic ties between these actors. We believe that the graph-mining methods for structure, information diffusion or influence spread in social networks needs to combined with the content analysis of social media. This provides the opportunity for new applications that use the information publicly available as a result of social interactions.

The intended audience of this book is researchers who are interested in developing tools and applications for automatic analysis of social media texts. We assume that the readers have basic knowledge in the area of natural language processing and machine learning. This book will help the readers better understand computational linguistics and social media analysis, in particular text-mining techniques and NLP applications (such as summarization, localization detection, sentiment and emotion analysis, topic detection and machine translation) designed specifically for social media texts.

• Sales Rank: #1688495 in Books
• Published on: 2015-09-01
• Original language: English
• Number of items: 1
• Dimensions: 9.25" h x .36" w x 7.52" l,
• Binding: Paperback
• 166 pages

About the Author
Dr. Atefeh Farzindar is the CEO and co-founder of NLP Technologies, which was founded in Montreal, Quebec, in 2005, and expanded to California in 2014. The company specializes in natural language processing, knowledge engineering, NLP-based search engines, machine translation, social media analytics, and automatic summarization. She received her Ph.D. in Computer Science from the University of Montreal and her Doctorate from Paris-Sorbonne University on automatic summarization of legal documents in 2005. She is an adjunct professor in the Department of Computer Science at the University of Montreal, and the chair of the language technologies sector of the Canadian Language Industry Association (AILIA). Dr. Farzindar has been serving as a member of the Natural Sciences and Engineering Research Council of Canada (NSERC), the Computer Science Liaison Committee, and the Canadian Advisory Committee to International Organization for Standardization (ISO) since 2011. She is vice president and an executive member of the Board of Directors of The Language Technologies Research Centre (LTRC) of Canada. Dr. Farzindar was the General Chair of the 2014 AI/GI/CRV Conference, the most important Canadian conference in computer science, which is a collaboration of three leading conferences: Artificial Intelligence, Graphics Interface, and Computer and Robot Vision. She published more than 35 papers, authored three books and recently a chapter in a book on Social Network Integration in Document Summarization, published by IGI Global, and titled Innovative Document Summarization Techniques: Revolutionizing Knowledge Understanding.

Dr. Diana Inkpen is a Professor at the School of Electrical Engineering and Computer Science at the University of Ottawa, ON, Canada. She obtained her Ph.D. in 2003 from the University of Toronto, Department of Computer Science. She obtained her M.Sc. from the Department of Computer Science, Technical University of Cluj-Napoca, Romania, in 1995, and a B.Eng. from the same university, in 1994. Her research interests and expertise are in natural language processing, in particular lexical semantics as applied to near synonyms and nuances of meaning, word and text similarity, classification of texts by emotion and mood, information retrieval from spontaneous speech, information extraction, and lexical choice in natural language generation. Dr. Inkpen was Program Committee co-chair for the twenty-fifth Canadian Conference on Artificial Intelligence (AI 2012), Toronto, Canada, May 2012, for the 7th IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'11), Tokushima, Japan, November 2011 and for the 6th IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'10), Beijing, China, August 2010. She was named Visiting Professor of Computational Linguistics at the University of Wolverhampton, UK, from September 2010 to August 2013. She led and continues to lead many research projects with funding from Natural Sciences and Engineering Research Council of Canada (NSERC), Social Sciences and Humanities Research Council of Canada (SSHRC), and Ontario Centres of Excellence (OCE). The projects include industrial collaborations with companies from Ottawa, Toronto, and Montreal. She published more than 25 journal papers, 90 conference papers, and eight book chapters. She was on the program committees of many conferences in her field, a reviewer for many journals, and an associate editor of the Computational Intelligence journal and the Natural Language Engineering journal.

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Natural Language Processing for Social Media (Synthesis Lectures on Human Language Technologies)By Atefeh Farzindar, Diana Inkpen PDF

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