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Demystifying Technical Training

Author: Wendy L. Combs

Publisher: John Wiley & Sons

Published: 2010-07-01

Total Pages: 258

ISBN-13: 0470634545

Praise for Demystifying Technical Training "Demystifying Technical Training is a must-read for CLOs, managers of training, instructors, and instructional designers. All who read it will gain critical insights into how to lower the cost and improve the efficiency and effectiveness of learning." —Wm. Douglas Harward, CEO and founder of Training Industry, Inc. "Individuals interested in and accountable for deriving significant value from technical training investments will gain great benefit from reading this book and applying its wisdom." —Karen Kocher, CLO at Cigna Healthcare "Demystifying Technical Training is an essential, complete guide for any learning organization. The overviews and concepts are clearly stated, while the case studies and sidebars provide practical examples you can apply in your situation." —Jean Barbazette, president of The Training Clinic and author of Managing the Training Function for Bottom-Line Results "Considering the cost of acquiring and developing talent, why wouldn't all CEO/COOs insist on investing in people to improve results and reduce risk? This book demystifies the process of developing technical experts to increase the return on investment in human capital. Bravo!" —Martin J. Menard, former group CIO at Intel Corporation "Technical training is a key to sustaining competitiveness in the new economy. Learn how to leverage and optimize its value in your organization through this wonderfully insightful and practical resource." —Dr. Arthur L. Jue, director of global organization and talent development at Oracle and co-author of Social Media at Work: How Networking Tools Propel Organizational Performance "Don't be misled by the title—this book—while focusing on the often segmented world of domain specific job skills—provides guidance valid for the full spectrum of workforce learning from soft-skills to 'technical' skills." —Ruth Clark, principal and president of Clark Training & Consulting and author of e-Learning and the Science of Instruction

Demystifying Technical Training

Author: Wendy Combsand

Publisher:

Published: 2009

Total Pages: 372

ISBN-13:

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Praise for Demystifying Technical Training " Demystifying Technical Training is a must-read for CLOs, managers of training, instructors, and instructional designers. All who read it will gain critical insights into how to lower the cost and improve the efficiency and effectiveness of learning."--Wm. Douglas Harward, CEO and founder of Training Industry, Inc. "Individuals interested in and accountable for deriving significant value from technical training investments will gain great benefit from reading this book and applying its wisdom." - Karen Kocher, CLO at Cigna Healthcare "Demystifying Technical Training is an essential, complete guide for any learning organization. The overviews and concepts are clearly stated, while the case studies and sidebars provide practical examples you can apply in your situation." - Jean Barbazette, president of The Training Clinic and author of Managing the Training Function for Bottom-Line Results "Considering the cost of acquiring and developing talent, why wouldn't all CEO/COOs insist on investing in people to improve results and reduce risk? This book demystifies the process of developing technical experts to increase the return on investment in human capital. Bravo!" - Martin J. Menard, former group CIO at Intel Corporation "Technical training is a key to sustaining competitiveness in the new economy. Learn how to leverage and optimize its value in your organization through this wonderfully insightful and practical resource." - Dr. Arthur L. Jue, director of global organization and talent development at Oracle and co-author of Social Media at Work: How Networking Tools Propel Organizational Performance "Don't be misled by the title-this book-while focusing on the often segmented world of domain specific job skills-provides guidance valid for the full spectrum of workforce learning from soft-skills to 'technical' skills." - Ruth Clark, principal and president of Clark Training and Consulting and author of e-Learning and the Science of Instruction.

Demystifying Organizational Learning

Author: Raanan Lipshitz

Publisher: SAGE Publications

Published: 2006-06-21

Total Pages: 297

ISBN-13: 1452222517

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This book presents a solid, research-based conceptual framework that demystifies organizational learning and bridges the gap between theory and practice. Using an integrative approach, authors Raanan Lipshitz, Victor Friedman and Micha Popper provide practitioners and researchers with tools for understanding organizational learning under real-world conditions.

Demystifying Academic Writing

Author: Zhihui Fang

Publisher: Routledge

Published: 2021-04-15

Total Pages: 269

ISBN-13: 1000371549

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Informative, insightful, and accessible, this book is designed to enhance the capacity of graduate and undergraduate students, as well as early career scholars, to write for academic purposes. Fang describes key genres of academic writing, common rhetorical moves associated with each genre, essential skills needed to write the genres, and linguistic resources and strategies that are functional and effective for performing these moves and skills. Fang’s functional linguistic approach to academic writing enables readers to do so much more than write grammatically well-formed sentences. It leverages writing as a process of designing meaning to position language choices as the central focus, illuminating how language is a creative resource for presenting information, developing argument, embedding perspectives, engaging audience, and structuring text across genres and disciplines. Covering reading responses, book reviews, literature reviews, argumentative essays, empirical research articles, grant proposals, and more, this text is an all-in-one resource for building a successful career in academic writing and scholarly publishing. Each chapter features crafts for effective communication, authentic writing examples, practical applications, and reflective questions. Fang complements these features with self-assessment tools for writers and tips for empowering writers. Assuming no technical knowledge, this text is ideal for both non-native and native English speakers, and suitable for courses in academic writing, rhetoric and composition, and language/literacy education.

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Author: Pradeep N

Publisher: Academic Press

Published: 2021-06-10

Total Pages: 374

ISBN-13: 0128220449

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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians. Provides a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies Includes in-depth illustrations of advanced techniques via dataset samples, statistical tables, and graphs with algorithms and computational methods for developing new applications in healthcare informatics Unique case study approach provides readers with insights for practical clinical implementation

Software Estimation

Author: Steve McConnell

Publisher: Microsoft Press

Published: 2006-02-22

Total Pages: 466

ISBN-13: 0735637032

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Often referred to as the “black art” because of its complexity and uncertainty, software estimation is not as difficult or puzzling as people think. In fact, generating accurate estimates is straightforward—once you understand the art of creating them. In his highly anticipated book, acclaimed author Steve McConnell unravels the mystery to successful software estimation—distilling academic information and real-world experience into a practical guide for working software professionals. Instead of arcane treatises and rigid modeling techniques, this guide highlights a proven set of procedures, understandable formulas, and heuristics that individuals and development teams can apply to their projects to help achieve estimation proficiency. Discover how to: Estimate schedule and cost—or estimate the functionality that can be delivered within a given time frame Avoid common software estimation mistakes Learn estimation techniques for you, your team, and your organization * Estimate specific project activities—including development, management, and defect correction Apply estimation approaches to any type of project—small or large, agile or traditional Navigate the shark-infested political waters that surround project estimates When many corporate software projects are failing, McConnell shows you what works for successful software estimation.

Artificial Intelligence, Machine Learning, and Data Science Technologies

Author: Neeraj Mohan

Publisher: CRC Press

Published: 2021-10-11

Total Pages: 311

ISBN-13: 1000460525

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This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact. The book aims at low-cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans. It provides a virtual picture of forthcoming better human life shadowed by the new technologies and their applications and discusses the impact Data Science has on business applications. The book will also include an overview of the different AI applications and their correlation between each other. The audience is graduate and postgraduate students, researchers, academicians, institutions, and professionals who are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science.

Demystifying Talent Management

Author: Kimberly Janson

Publisher: Maven House Press

Published: 2015-01-13

Total Pages: 251

ISBN-13: 1938548310

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Demystifying Talent Management offers practical advice for all managers, HR professionals, senior leaders, and other employees on how to work together to build a talented and motivated workforce. The book addresses performance, development, coaching, feedback, compensation, and other elements of people management. Using simple, straightforward language, Kim Janson tells you how you can avoid confusion and conflicts when engaging in talent management. You'll learn: What performance is needed and expected: how to translate your company's strategy into individual performance; What it means to measure and track progress, simply and clearly; What you can and should do to help an individual's development; How to narrow your focus to improve a skill, knowledge, or experience; How to take both an individual's profile and the direction of the organization into account in career development and succession planning; How to make compensation (cash, public accolades, feedback, etc.) a true driver of results; How coaching and feedback are essential in bringing all the elements of talent management together. This book will guide you to a deeper understanding of the mechanics of talent management and development success so that all the stakeholders can come together in a win-win-win-win scenario.

Handbook of Machine Learning for Computational Optimization

Author: Vishal Jain

Publisher: CRC Press

Published: 2021-11-02

Total Pages: 295

ISBN-13: 100045567X

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Focuses on new machine learning developments that can lead to newly developed applications Uses a predictive and futuristic approach which makes Machine Learning a promising tool for business processes and sustainable solutions Promotes newer algorithms which are more efficient and reliable for a new dimension in discovering certain latent domains of applications Discusses the huge potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making Offers many real-time case studies

Demystifying Professional Learning Communities

Author: Kristine Kiefer Hipp

Publisher: R&L Education

Published: 2010-02-16

Total Pages: 176

ISBN-13: 1607090511

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The purpose of this book is to clearly define an approach to school improvement that uses professional learning community (PLC) practices to achieve school improvement and success for every student. This book offers information, examples and case studies to clarify the concept of a PLC, to respond to critical issues in schools, and to support educational leaders in addressing the important mandates of accountability and school improvement. As school leaders proactively lead efforts to create learning communities, their schools, districts, and staff will incorporate knowledge, skills, and practices that focus on teaching and learning for all. The authors' findings will assist leaders, change agents, policy makers, and university faculty in guiding schools toward creating and maintaining PLCs as they sustain school improvement for student learning.