Learning Systems
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Learning Systems
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Author : Eduard Aved'yan
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Learning Systems written by Eduard Aved'yan 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 2012-12-06 with Technology & Engineering categories.
A learning system can be defined as a system which can adapt its behaviour to become more effective at a particular task or set of tasks. It consists of an architecture with a set of variable parameters and an algorithm. Learning systems are useful in many fields, one of the major areas being in control and system identification. This work covers major aspects of learning systems: system architecture, choice of performance index and methods measuring error. Major learning algorithms are explained, including proofs of convergence. Artificial neural networks, which are an important class of learning systems and have been subject to rapidly increasing popularity, are discussed. Where appropriate, examples have been given to demonstrate the practical use of techniques developed in the text. System identification and control using multi-layer networks and CMAC (Cerebellar Model Articulation Controller) are also presented.
Learning Schools Learning Systems
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Author : Paul Clarke
language : en
Publisher: A&C Black
Release Date : 2000-09-01
Learning Schools Learning Systems written by Paul Clarke and has been published by A&C Black this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-09-01 with Education categories.
This text, using case studies, argues that the sensitivity of prevailing approaches to school improvements are causing reforms to fail to achieve their objectives. It proposes alternative methods of introducing change.
Neural Symbolic Learning Systems
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Author : Artur S. d'Avila Garcez
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Neural Symbolic Learning Systems written by Artur S. d'Avila Garcez 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 2012-12-06 with Computers categories.
Artificial Intelligence is concerned with producing devices that help or replace human beings in their daily activities. Neural-symbolic learning systems play a central role in this task by combining, and trying to benefit from, the advantages of both the neural and symbolic paradigms of artificial intelligence. This book provides a comprehensive introduction to the field of neural-symbolic learning systems, and an invaluable overview of the latest research issues in this area. It is divided into three sections, covering the main topics of neural-symbolic integration - theoretical advances in knowledge representation and learning, knowledge extraction from trained neural networks, and inconsistency handling in neural-symbolic systems. Each section provides a balance of theory and practice, giving the results of applications using real-world problems in areas such as DNA sequence analysis, power systems fault diagnosis, and software requirements specifications. Neural-Symbolic Learning Systems will be invaluable reading for researchers and graduate students in Engineering, Computing Science, Artificial Intelligence, Machine Learning and Neurocomputing. It will also be of interest to Intelligent Systems practitioners and anyone interested in applications of hybrid artificial intelligence systems.
Personalizing Training With Adaptive Learning Systems
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Author : James Bennett
language : en
Publisher: Association for Talent Development
Release Date : 2018-05-01
Personalizing Training With Adaptive Learning Systems written by James Bennett and has been published by Association for Talent Development this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-01 with Business & Economics categories.
Adaptive learning systems allow corporations to enhance and adjust training to the individual learner. Adaptive learning also allows companies to measure and assess what training participants have learned and how to further help them. In “Personalizing Training With Adaptive Learning Systems,” James Bennett presents an overview of adaptive learning and then dives deeper into details that will make working with adaptive learning systems much easier and more effective. This issue of TD at Work: · identifies the types of problems adaptive learning solves · defines common components of adaptive learning systems · discusses designing and developing in an adaptive system, including providing a design steps template · addresses what to look for when choosing an adaptive learning system.
Evaluation Of The Distance Learning Systems In Turkey
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Author : Dr. Yakup Çelikbilek
language : en
Publisher: Hiperlink eğit.ilet.yay.san.tic.ve ltd.sti.
Release Date : 2019-03-06
Evaluation Of The Distance Learning Systems In Turkey written by Dr. Yakup Çelikbilek and has been published by Hiperlink eğit.ilet.yay.san.tic.ve ltd.sti. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-06 with Education categories.
Education is one of the most important complement for people from the beginning of humanity. With the globalizing and fasten world, Distance Learning has gain an increasing importance. Especially, information technologies increase the spread and importance of the distance learning systems. Institutions and universities have started using distance learning systems day by day to reach the potential students from all over the world. Distance learning systems also decrease the costs of both institutions and students with effective learning way. Distance learning systems principally have four main supplements; cost, technology, education and distance learning related supplements. Due to its structure, the most important supplement of distance learning systems is technology–based components which contains various and complicated details. Most of these details looks totally technical but they are more important actually, because of their implementation to education, and connection with the people using the system. The main motivation of this book is to find out the most important components of distance learning systems in Turkey and prioritize them to lead the distance learning systems more effective and better, both for the students and for the investors. knowledge Within the current literature, none of the studies analyzed all components and prioritize them for both Turkey and in general, especially, educational components and technological components together. With the help of the advanced internet and digital technology, this is a challenging subject for the distance learning systems in today’s world. Educational institutions cannot promote their distance learning programs only with their instructors or course contents anymore like decades ago when the technology is much worse than now. Classical promotion materials do not take attention of the new generation who are digital natives. Because, they have already known how to access something or use technology, at least more than digital immigrants. Especially with the accessible technology and accessible reputed education contents with this technology all around the world, we should observe the importance of education and distance learning components together with technology components. In today’s World, if students want to access a distance learning system, they need only a computer and an internet access, excluding course cost. So, students can access to any distance learning system from all around the world easily. This situation is also valid for distance learning institutions. Similarly, this is valid for distance learning institutions. They can hire anybody from all around the world without bringing them to the institution with a perfect information technologies infrastructure. Investors of distance learning systems and institutions in Turkey should invest in and improve distance learning systems according to the importance of all components of distance learning systems together to get ahead of the world.
Designing Deep Learning Systems
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Author : Chi Wang
language : en
Publisher: Simon and Schuster
Release Date : 2023-09-19
Designing Deep Learning Systems written by Chi Wang and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-19 with Computers categories.
A vital guide to building the platforms and systems that bring deep learning models to production. In Designing Deep Learning Systems you will learn how to: Transfer your software development skills to deep learning systems Recognize and solve common engineering challenges for deep learning systems Understand the deep learning development cycle Automate training for models in TensorFlow and PyTorch Optimize dataset management, training, model serving and hyperparameter tuning Pick the right open-source project for your platform Deep learning systems are the components and infrastructure essential to supporting a deep learning model in a production environment. Written especially for software engineers with minimal knowledge of deep learning’s design requirements, Designing Deep Learning Systems is full of hands-on examples that will help you transfer your software development skills to creating these deep learning platforms. You’ll learn how to build automated and scalable services for core tasks like dataset management, model training/serving, and hyperparameter tuning. This book is the perfect way to step into an exciting—and lucrative—career as a deep learning engineer. About the technology To be practically usable, a deep learning model must be built into a software platform. As a software engineer, you need a deep understanding of deep learning to create such a system. Th is book gives you that depth. About the book Designing Deep Learning Systems: A software engineer's guide teaches you everything you need to design and implement a production-ready deep learning platform. First, it presents the big picture of a deep learning system from the developer’s perspective, including its major components and how they are connected. Then, it carefully guides you through the engineering methods you’ll need to build your own maintainable, efficient, and scalable deep learning platforms. What's inside The deep learning development cycle Automate training in TensorFlow and PyTorch Dataset management, model serving, and hyperparameter tuning A hands-on deep learning lab About the reader For software developers and engineering-minded data scientists. Examples in Java and Python. About the author Chi Wang is a principal software developer in the Salesforce Einstein group. Donald Szeto was the co-founder and CTO of PredictionIO. Table of Contents 1 An introduction to deep learning systems 2 Dataset management service 3 Model training service 4 Distributed training 5 Hyperparameter optimization service 6 Model serving design 7 Model serving in practice 8 Metadata and artifact store 9 Workflow orchestration 10 Path to production
Patient Safety Incident Reporting And Learning Systems
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Author :
language : en
Publisher: World Health Organization
Release Date : 2020-08-31
Patient Safety Incident Reporting And Learning Systems written by and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-31 with Medical categories.
Patient safety incident reporting and learning systems aim to capture patient safety incidents and provide structured learning, since this can be key to improving patient safety and preventing the occurrence of harm. This document presents the purpose and strengths of patient safety incident reporting and provides some practical guidance on establishing patient safety incident reporting and learning systems.
Computational Learning Theory And Natural Learning Systems
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Author : Stephen José Hanson
language : en
Publisher:
Release Date : 1995
Computational Learning Theory And Natural Learning Systems written by Stephen José Hanson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computational learning theory categories.
Teaching To The Brain S Natural Learning Systems
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Author : Barbara K. Given
language : en
Publisher: ASCD
Release Date : 2002
Teaching To The Brain S Natural Learning Systems written by Barbara K. Given and has been published by ASCD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Education categories.
Uses the brain's five major learning systems--emotional, social, cognitive, physical, and reflective--to provide a framework for designing lessons and determining teaching approaches.
Ai And Learning Systems
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Author : Konstantinos Kyprianidis
language : en
Publisher: BoD – Books on Demand
Release Date : 2021-02-17
Ai And Learning Systems written by Konstantinos Kyprianidis and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-17 with Technology & Engineering categories.
Over the last few years, interest in the industrial applications of AI and learning systems has surged. This book covers the recent developments and provides a broad perspective of the key challenges that characterize the field of Industry 4.0 with a focus on applications of AI. The target audience for this book includes engineers involved in automation system design, operational planning, and decision support. Computer science practitioners and industrial automation platform developers will also benefit from the timely and accurate information provided in this work. The book is organized into two main sections comprising 12 chapters overall: •Digital Platforms and Learning Systems •Industrial Applications of AI