Learning In Real Time
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Learning In Real Time
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Author : Jonathan E. Finkelstein
language : en
Publisher: John Wiley & Sons
Release Date : 2009-10-06
Learning In Real Time written by Jonathan E. Finkelstein and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-06 with Education categories.
Learning in Real Time is a concise and practical resource for education professionals teaching live and online or those wanting to humanize and improve interaction in their online courses by adding a synchronous learning component. The book offers keen insight into the world of synchronous learning tools, guides instructors in evaluating how and when to use them, and illustrates how educators can develop their own strategies and styles in implementing such tools to improve online learning.
Handbook Of Distance Learning For Real Time And Asynchronous Information Technology Education
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Author : Negash, Solomon
language : en
Publisher: IGI Global
Release Date : 2008-05-31
Handbook Of Distance Learning For Real Time And Asynchronous Information Technology Education written by Negash, Solomon and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-05-31 with Computers categories.
"This book looks at solutions that provide the best fits of distance learning technologies for the teacher and learner presented by sharing teacher experiences in information technology education"--Provided by publisher.
Learning In Real Time
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Author : Jonathan Finkelstein
language : en
Publisher:
Release Date : 2006
Learning In Real Time written by Jonathan Finkelstein and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computer-assisted instruction categories.
Teaching And Learning In Real Time
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Author : Carla Meskill
language : en
Publisher: Athelstan
Release Date : 2002
Teaching And Learning In Real Time written by Carla Meskill and has been published by Athelstan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Language acquisition categories.
This title explores technology use for second language learners, focussing on sociocognitive development, media awareness, second language acquisition strategies and interpersonal interactions. Topics include: instructional media and teachnology and language learning; The Media as a Second Language; principled uses of media and technologies; the aural -- talking about, around and through audio technologies; video -- the What, the Why, the How; computers in language learning -- from Constructed to Constructing; computer communication tools; multimedia spaces, performances, and characters; electronic literacy as a Second Language.
Machine Learning And Deep Learning In Real Time Applications
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Author : Mahrishi, Mehul
language : en
Publisher: IGI Global
Release Date : 2020-04-24
Machine Learning And Deep Learning In Real Time Applications written by Mahrishi, Mehul and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-24 with Computers categories.
Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.
Real Time Iterative Learning Control
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Author : Jian-Xin Xu
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-12
Real Time Iterative Learning Control written by Jian-Xin Xu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-12 with Technology & Engineering categories.
Real-time Iterative Learning Control demonstrates how the latest advances in iterative learning control (ILC) can be applied to a number of plants widely encountered in practice. The book gives a systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, configurations and generic guidelines for ILC design and implementation are enhanced by a well-selected group of representative, simple and easy-to-learn example applications. Key issues in ILC design and implementation in linear and nonlinear plants pervading mechatronics and batch processes are addressed, in particular: ILC design in the continuous- and discrete-time domains; design in the frequency and time domains; design with problem-specific performance objectives including robustness and optimality; design in a modular approach by integration with other control techniques; and design by means of classical tools based on Bode plots and state space.
Machine Learning And Deep Learning In Real Time Applications
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Author : Paawan Sharma
language : en
Publisher: Engineering Science Reference
Release Date : 2020
Machine Learning And Deep Learning In Real Time Applications written by Paawan Sharma and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.
Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.
Adaptive Learning With Real Time Recommendation System
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Author : Sowmya J
language : en
Publisher: Independent Author
Release Date : 2023-04-07
Adaptive Learning With Real Time Recommendation System written by Sowmya J and has been published by Independent Author this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-07 with Architecture categories.
ABSTRACT Artificial Intelligence is revolutionizing the education sector and making enormous research opportunities day by day. Adaptive learning with personalization has the potential to change the education to the next level. Several learning platforms developed so far deliver the study materials and just save the learner's recorded data for suggesting the next relevant course. But there is not enough attention given to the learning content provided for individual learners. In order to provide personalized learning content, it is necessary to evaluate the current knowledge state of the learner, in that particular subject. On this basis, a framework of real time personalized adaptive learning has been constructed. In this Adaptive Learning Management System, every learner/user will be evaluated with a set of questions on the subject, which a user wants to learn. The user has to attend the questionnaire about that particular chosen subject. These questions will be prepared by the subject matter experts, in such a deep way that only if the user has already known the subject, he/she will be able to answer. Based on the given answers, the user will be categorized as beginner, medium or expert level of knowledge in that subject. The beginner categorized user will be recommended with the relevant study material where the advanced, expert level of materials will be avoided to show in the user's learning panel. Besides providing the recommended course material, this Adaptive Learning Management System keeps track of the learner. It saves each and every material the user has studied. This information will be stored in his/her personalized database. This collection of relevant and reliable data helps in evaluating the individual learner. Personalized Page Rank algorithm helps to.
Machine Learning For Data Streams
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Author : Albert Bifet
language : en
Publisher: MIT Press
Release Date : 2023-05-09
Machine Learning For Data Streams written by Albert Bifet and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-09 with Computers categories.
A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework. Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, with partial data and without the capacity to store the entire data set. This book presents algorithms and techniques used in data stream mining and real-time analytics. Taking a hands-on approach, the book demonstrates the techniques using MOA (Massive Online Analysis), a popular, freely available open-source software framework, allowing readers to try out the techniques after reading the explanations. The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA. The book will be an essential reference for readers who want to use data stream mining as a tool, researchers in innovation or data stream mining, and programmers who want to create new algorithms for MOA.
Real Time Data Mining
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Author : Saed Sayad
language : en
Publisher:
Release Date : 2011-01
Real Time Data Mining written by Saed Sayad and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01 with Data mining categories.
Data mining is about explaining the past and predicting the future by exploring and analyzing data. Data mining is a multi-disciplinary field which combines statistics, machine learning, artificial intelligence and database technology.Although data mining algorithms are widely used in extremely diverse situations, in practice, one or more major limitations almost invariably appear and significantly constrain successful data mining applications. Frequently, these problems are associated with large increases in the rate of generation of data, the quantity of data and the number of attributes (variables) to be processed: Increasingly, the data situation is now beyond the capabilities of conventional data mining methods.The term Real Time is used to describe how well a data mining algorithm can accommodate an ever increasing data load instantaneously. Upgrading conventional data mining to real time data mining is through the use of a method termed the Real Time Learning Machine or RTLM. The use of the RTLM with conventional data mining methods enables Real Time Data Mining.The future of predictive modeling belongs to real time data mining and the main motivation in authoring this book is to help you to understand the method and to implement it for your applications.