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Author: Shubhabrata Datta
Publisher: Springer Nature
ISBN: 3030758478
Category : Technology & Engineering
Languages : en
Pages : 202
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Book Description
This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.
Author: Shubhabrata Datta
Publisher: Springer Nature
ISBN: 3030758478
Category : Technology & Engineering
Languages : en
Pages : 202
Get Book Here
Book Description
This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.
Author: Mirjam Neelen
Publisher: Kogan Page Publishers
ISBN: 1789661420
Category : Business & Economics
Languages : en
Pages : 328
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Book Description
Learning and Development (L&D) programmes are too often based on fads, the latest trends or learning designers' personal preferences without critical evaluation. Evidence-Informed Learning Design allows learning professionals to move away from this type of approach by showing them how to assess and apply relevant scientific literature, learning science research and proven learning techniques to design their training in a way that will make a measurable difference to employee performance and overall business success. Packed with tips, tools and examples, Evidence-Informed Learning Design enables L&D and training professionals to save both time and money by ensuring that efforts are focused on designing learning that's proven to be effective. Covering techniques like interleaving and self-directed and self-regulated learning, as well as debunking myths and fallacies in the field, it covers how best to test, measure and reinforce learning in both online, offline and face-to-face scenarios. To ensure that employees develop the skills the business needs to succeed and that the L&D function is recognised as adding true organizational value, this book is essential reading for anyone responsible for designing learning.
Author: R K Prasad
Publisher:
ISBN: 9781677475513
Category :
Languages : en
Pages : 130
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Book Description
About the Book Become an eLearning Champion, dedicated to learning professionals, is a distillation of CommLab India's 20 years' experience in instructional design, eLearning, corporate training, and technology-enabled learning. It aims to empower learning professionals to champion eLearning in their organizations. Armed with practical insights, implementation ideas, best practices, and more, they can ensure their training programs nurture employees and help them be current, competitive, and agile contributors to the organization's bottom and top lines in today's dynamic business environment. This book offers a holistic view of eLearning - the basics, evergreen essentials, trends that are becoming the norm, theoretical frameworks and more - a training connoisseur's delight!
Author: Nell P. Eurich
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 328
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Book Description
This study focuses on the connection between education and the world of work and the urgency of the endeavor to educate the work force. Part I considers the resources for adult learning in the United States, with a focus on the major providers outside the traditional education system. Technological resources that can extend educational opportunities and reach more workers are then analyzed. Examples of each medium's use are given, and its limitations and effectiveness for instruction are charted. One new development is given special attention: artificial intelligence as an aid in training and education. Part II describes workers' training opportunities. It looks first at the skilled trades and technical fields: construction workers, office workers, administrative assistants, information systems technicians, and factory workers encountering computer-integrated manufacturing systems. Next, the education of managers is considered. Finally, updating knowledge of advanced professionals is examined. Examples from various providers show contributions toward available opportunities. Part III deals with those whom training programs fail to reach or serve adequately: dislocated workers, unemployed youth, immigrants and refugees, and welfare recipients. The report concludes that the issues call for public responsibility and action. Federal, state, and private initiatives are urged. Endnotes for each chapter and an index are appended. (YLB)
Author: Palahicky, Sophia
Publisher: IGI Global
ISBN: 1799829456
Category : Education
Languages : en
Pages : 400
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Book Description
The higher education landscape is embracing the call to be innovative, yet scholars have not clearly defined what it means to innovate. Innovation is not limited to the use and adoption of educational technologies, and it encompasses a broad array of elements that must be considered if we are to truly aspire toward innovative teaching in higher education. Enhancing Learning Design for Innovative Teaching in Higher Education is a critical scholarly publication that examines how instructional systems design, instructional design, educational technologies, curriculum design, and program design impact innovation and innovative teaching in higher education. The book offers definitions of innovative teaching and examines critical intersections to achieve innovation and innovative teaching in post-secondary environments. Highlighting a wide range of topics such as program mapping and learning design, this book is essential for academicians, administrators, professionals, curriculum developers, instructional designers, K-12 teachers, educational technologists, researchers, and students.
Author: Patricia A. Young
Publisher: Routledge
ISBN: 1000334945
Category : Education
Languages : en
Pages : 134
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Book Description
Human Specialization in Design and Technology explores emerging trends in learning and training—standardization, personalization, customization, and specialization—with a unique focus on innovations specific to human needs and conditions. Analyzing evidence from current academic research as well as the popular press, this concise volume defines and examines the trajectory of instructional design and technologies toward more human-centered and specialized products, services, processes, environments, and systems. Examples from education, healthcare, business, and other sectors offer real-world demonstrations for scholars and graduate students of educational technology, instructional design, and business development. The book features insights into the future of professors, public schools, equity and access, extended technologies, open educational resources, and more, concluding with a set of concrete solutions.
Author: Carol Newman
Publisher: Brookings Institution Press
ISBN: 0815728166
Category : Business & Economics
Languages : en
Pages : 310
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Book Description
Why is there so little industry in Africa? Over the past forty years, industry has moved from the developed to the developing world, yet Africa’s share of global manufacturing has fallen from about 3 percent in 1970 to less than 2 percent in 2014. Industry is important to low-income countries. It is good for economic growth, job creation, and poverty reduction. Made in Africa: Learning to Compete in Industry outlines a new strategy to help African industry compete in global markets. This book draws on case studies and econometric and qualitative research from Africa and emerging Asia to understand what drives firm-level competitiveness in low-income countries. The results show that while traditional concerns such as infrastructure, skills, and the regulatory environment are important, they alone will not be sufficient for Africa to industrialize. The book also addresses how industrialization strategies will need to adapt to the region’s growing resource abundance.
Author: Patrick Bangert
Publisher: Elsevier
ISBN: 0128226005
Category : Technology & Engineering
Languages : en
Pages : 276
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Book Description
Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study–driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting. - Provides best practices on how to design and set up ML projects in power systems, including all nontechnological aspects necessary to be successful - Explores implementation pathways, explaining key ML algorithms and approaches as well as the choices that must be made, how to make them, what outcomes may be expected, and how the data must be prepared for them - Determines the specific data needs for the collection, processing, and operationalization of data within machine learning algorithms for power systems - Accompanied by numerous supporting real-world case studies, providing practical evidence of both best practices and potential pitfalls
Author: Indira Rachmawati
Publisher: Routledge
ISBN: 1000069788
Category : Business & Economics
Languages : en
Pages : 305
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Book Description
The proceedings of the 6th International Seminar & Conference on Learning Organization (ISCLO) with the theme “Enhancing Organization’s Competitiveness through Knowledge Sharing and Learning Culture in the 4.0 Era” provides research results from scientists, scholars and practitioners, exchanging information and discussing the latest issues related to topics such as Marketing, Human Resources, Industrial Behavior and Knowledge Management, Entrepreneurship and Strategic Management, IT and Operations Management Economics, Financial and Accounting. These papers will contribute to the enhancement of the organization's competitive advantage with technology serving as a supporting system for knowledge sharing and learning culture. These proceedings will be of interest to scholars, practitioners, government and the industry employees, taking part in increasing Global Competitiveness in the coming years.
Author: Patrick Bangert
Publisher: Gulf Professional Publishing
ISBN: 0128209143
Category : Science
Languages : en
Pages : 290
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Book Description
Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. - Chart an overview of the techniques and tools of machine learning including all the non-technological aspects necessary to be successful - Gain practical understanding of machine learning used in oil and gas operations through contributed case studies - Learn change management skills that will help gain confidence in pursuing the technology - Understand the workflow of a full-scale project and where machine learning benefits (and where it does not)
