Demystifying Technical Training

Demystifying Technical Training
Title Demystifying Technical Training PDF eBook
Author Wendy L. Combs
Publisher John Wiley & Sons
Total Pages 346
Release 2010-07-01
Genre Business & Economics
ISBN 0470634545

Download Demystifying Technical Training Book in PDF, Epub and Kindle

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

Demystifying Technical Training
Title Demystifying Technical Training PDF eBook
Author Wendy Combsand
Publisher
Total Pages 372
Release 2009
Genre Business planning
ISBN

Download Demystifying Technical Training Book in PDF, Epub and Kindle

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

Demystifying Organizational Learning
Title Demystifying Organizational Learning PDF eBook
Author Raanan Lipshitz
Publisher SAGE Publications
Total Pages 297
Release 2006-06-21
Genre Business & Economics
ISBN 1452222517

Download Demystifying Organizational Learning Book in PDF, Epub and Kindle

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

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics
Title Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics PDF eBook
Author Pradeep N
Publisher Academic Press
Total Pages 374
Release 2021-06-10
Genre Science
ISBN 0128220449

Download Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics Book in PDF, Epub and Kindle

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

Demystifying Academic Writing

Demystifying Academic Writing
Title Demystifying Academic Writing PDF eBook
Author Zhihui Fang
Publisher Routledge
Total Pages 269
Release 2021-04-15
Genre Education
ISBN 1000371549

Download Demystifying Academic Writing Book in PDF, Epub and Kindle

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.

Software Estimation

Software Estimation
Title Software Estimation PDF eBook
Author Steve McConnell
Publisher Microsoft Press
Total Pages 466
Release 2006-02-22
Genre Computers
ISBN 0735637032

Download Software Estimation Book in PDF, Epub and Kindle

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

Artificial Intelligence, Machine Learning, and Data Science Technologies
Title Artificial Intelligence, Machine Learning, and Data Science Technologies PDF eBook
Author Neeraj Mohan
Publisher CRC Press
Total Pages 311
Release 2021-10-11
Genre Computers
ISBN 1000460525

Download Artificial Intelligence, Machine Learning, and Data Science Technologies Book in PDF, Epub and Kindle

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.