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World Place Location Learning System
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Book Synopsis World Place Location Learning System by : Richard M. MacKinnon
Download or read book World Place Location Learning System written by Richard M. MacKinnon and published by . This book was released on 1995 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Redesigning Education by : Innovation Unit For Gelp
Download or read book Redesigning Education written by Innovation Unit For Gelp and published by Booktrope Editions. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: As we hurtle through the second decade of the 21st century, the pressure for radical change to mainstream education is becoming ever more urgent, and images for what that future might look like are emerging and coalescing. But there is a problem. There is no version of this complex, exciting new world of learning that can arrive fully operational and ready to open for business on Monday morning. Redesigning Education captures the journeys of cities and countries around the world as they travel from the education systems they have to the education systems they want and need-and highlights the tools and processes they are using along the way. The Global Education Leaders' Program, or GELP, is a partnership of teams of education system leaders and world-class organizations collaborating to transform education. Its members include some of the highest performing countries in the world and those where providing education for all is an extraordinary challenge. As a community, these teams have developed, refined and shared a compelling and-critically-actionable vision for the future of education: Education 3.0. Redesigning Education is about what it takes to transform education systems when the context in which they've flourished fundamentally alters. While a fully operational 21st century education system does not yet exist, GELP teams are identifying a clear set of models and practices that together form a "roadmap" to the future, backed up by the practical lessons drawn from their experiences. More than simply a compelling case for change, Redesigning Education offers real insights grown from stories of system transformation around the globe.
Book Synopsis Discovering the Brain by : National Academy of Sciences
Download or read book Discovering the Brain written by National Academy of Sciences and published by National Academies Press. This book was released on 1992-01-01 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: The brain ... There is no other part of the human anatomy that is so intriguing. How does it develop and function and why does it sometimes, tragically, degenerate? The answers are complex. In Discovering the Brain, science writer Sandra Ackerman cuts through the complexity to bring this vital topic to the public. The 1990s were declared the "Decade of the Brain" by former President Bush, and the neuroscience community responded with a host of new investigations and conferences. Discovering the Brain is based on the Institute of Medicine conference, Decade of the Brain: Frontiers in Neuroscience and Brain Research. Discovering the Brain is a "field guide" to the brainâ€"an easy-to-read discussion of the brain's physical structure and where functions such as language and music appreciation lie. Ackerman examines: How electrical and chemical signals are conveyed in the brain. The mechanisms by which we see, hear, think, and pay attentionâ€"and how a "gut feeling" actually originates in the brain. Learning and memory retention, including parallels to computer memory and what they might tell us about our own mental capacity. Development of the brain throughout the life span, with a look at the aging brain. Ackerman provides an enlightening chapter on the connection between the brain's physical condition and various mental disorders and notes what progress can realistically be made toward the prevention and treatment of stroke and other ailments. Finally, she explores the potential for major advances during the "Decade of the Brain," with a look at medical imaging techniquesâ€"what various technologies can and cannot tell usâ€"and how the public and private sectors can contribute to continued advances in neuroscience. This highly readable volume will provide the public and policymakersâ€"and many scientists as wellâ€"with a helpful guide to understanding the many discoveries that are sure to be announced throughout the "Decade of the Brain."
Book Synopsis Machine Learning Systems by : Jeffrey Smith
Download or read book Machine Learning Systems written by Jeffrey Smith and published by Simon and Schuster. This book was released on 2018-05-21 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Machine Learning Systems: Designs that scale is an example-rich guide that teaches you how to implement reactive design solutions in your machine learning systems to make them as reliable as a well-built web app. Foreword by Sean Owen, Director of Data Science, Cloudera Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology If you’re building machine learning models to be used on a small scale, you don't need this book. But if you're a developer building a production-grade ML application that needs quick response times, reliability, and good user experience, this is the book for you. It collects principles and practices of machine learning systems that are dramatically easier to run and maintain, and that are reliably better for users. About the Book Machine Learning Systems: Designs that scale teaches you to design and implement production-ready ML systems. You'll learn the principles of reactive design as you build pipelines with Spark, create highly scalable services with Akka, and use powerful machine learning libraries like MLib on massive datasets. The examples use the Scala language, but the same ideas and tools work in Java, as well. What's Inside Working with Spark, MLlib, and Akka Reactive design patterns Monitoring and maintaining a large-scale system Futures, actors, and supervision About the Reader Readers need intermediate skills in Java or Scala. No prior machine learning experience is assumed. About the Author Jeff Smith builds powerful machine learning systems. For the past decade, he has been working on building data science applications, teams, and companies as part of various teams in New York, San Francisco, and Hong Kong. He blogs (https: //medium.com/@jeffksmithjr), tweets (@jeffksmithjr), and speaks (www.jeffsmith.tech/speaking) about various aspects of building real-world machine learning systems. Table of Contents PART 1 - FUNDAMENTALS OF REACTIVE MACHINE LEARNING Learning reactive machine learning Using reactive tools PART 2 - BUILDING A REACTIVE MACHINE LEARNING SYSTEM Collecting data Generating features Learning models Evaluating models Publishing models Responding PART 3 - OPERATING A MACHINE LEARNING SYSTEM Delivering Evolving intelligence
Book Synopsis Intelligent Tutoring Systems in E-Learning Environments: Design, Implementation and Evaluation by : Stankov, Slavomir
Download or read book Intelligent Tutoring Systems in E-Learning Environments: Design, Implementation and Evaluation written by Stankov, Slavomir and published by IGI Global. This book was released on 2010-07-31 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book addresses intelligent tutoring system (ITS) environments from the standpoint of information and communication technology (ICT) and the recent accomplishments within both the e-learning paradigm and e-learning systems"--Provided by publisher.
Book Synopsis Wiley CMA Learning System Exam Review 2013, Test Bank by : IMA
Download or read book Wiley CMA Learning System Exam Review 2013, Test Bank written by IMA and published by John Wiley & Sons. This book was released on 2013-02-12 with total page 1441 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wiley CMA Learning System consists of Part 1: Financial Planning, Performance and Control which covers the topics of Planning, Budgeting, and Forecasting, Performance Management, Cost Management, Internal Controls, and Professional Ethics. As well as Part 2: Financial Decision Making covers the topics of Financial Statement Analysis, Corporate Finance, Decision Analysis and Risk Management, Investment Decisions, and Professional Ethics. It contains key formulas, knowledge checks at the end of each topic, study tips, and practice questions providing candidates with what they need to pass the CMA Exam. Also included is access to the CMA test bank which contains over 2,000 questions
Book Synopsis Wiley CMA Learning System Exam Review 2013, Financial Planning, Performance and Control, + Test Bank by : IMA
Download or read book Wiley CMA Learning System Exam Review 2013, Financial Planning, Performance and Control, + Test Bank written by IMA and published by John Wiley & Sons. This book was released on 2012-12-31 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part 1: Financial Planning, Performance and Control Includes access to the Online Test Bank, which contains over 850 multiple-choice questions Multiple-choice question feedback helps CMA candidates focus on areas where they need the most work Prepare for the actual CMA exam with Section Practice Tests and a cumulative Part 1 exam Assess your progress with knowledge check questions/answers and sample essay questions Looks at basic budgeting concepts and forecasting techniques Deals with the methods of comparing actual financial performance to the budget Helps candidates prepare a solid study plan with exam tips Feature section examines the topics of Planning, Budgeting and Forecasting, Performance Management, Cost Management, Internal Controls, and Professional Ethics Based on the CMA body of knowledge developed by the Institute of Certified Management Accountants (ICMA), Wiley CMA Learning System Exam Review 2013 features content derived from the exam Learning Outcome Statements (LOS). Passing the CMA exam on your first attempt is possible. We'd like to help. IMA, the association of accountants and financial professionals in business, is one of the largest and most respected associations focused exclusively on advancing the management accounting profession. Globally, IMA supports the profession through research, the CMA (Certified Management Accountant) program, continuing education, networking, and advocacy of the highest ethical business practices. IMA has a global network of more than 65,000 members in 120 countries and 200 local chapter communities. IMA provides localized services through its offices in Montvale, NJ, USA; Zurich, Switzerland; Dubai, UAE; and Beijing, China. For more information about IMA, please visit www.imanet.org.
Book Synopsis Deep Learning Systems by : Andres Rodriguez
Download or read book Deep Learning Systems written by Andres Rodriguez and published by Morgan & Claypool Publishers. This book was released on 2020-10-26 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes deep learning systems: the algorithms, compilers, and processor components to efficiently train and deploy deep learning models for commercial applications. The exponential growth in computational power is slowing at a time when the amount of compute consumed by state-of-the-art deep learning (DL) workloads is rapidly growing. Model size, serving latency, and power constraints are a significant challenge in the deployment of DL models for many applications. Therefore, it is imperative to codesign algorithms, compilers, and hardware to accelerate advances in this field with holistic system-level and algorithm solutions that improve performance, power, and efficiency. Advancing DL systems generally involves three types of engineers: (1) data scientists that utilize and develop DL algorithms in partnership with domain experts, such as medical, economic, or climate scientists; (2) hardware designers that develop specialized hardware to accelerate the components in the DL models; and (3) performance and compiler engineers that optimize software to run more efficiently on a given hardware. Hardware engineers should be aware of the characteristics and components of production and academic models likely to be adopted by industry to guide design decisions impacting future hardware. Data scientists should be aware of deployment platform constraints when designing models. Performance engineers should support optimizations across diverse models, libraries, and hardware targets. The purpose of this book is to provide a solid understanding of (1) the design, training, and applications of DL algorithms in industry; (2) the compiler techniques to map deep learning code to hardware targets; and (3) the critical hardware features that accelerate DL systems. This book aims to facilitate co-innovation for the advancement of DL systems. It is written for engineers working in one or more of these areas who seek to understand the entire system stack in order to better collaborate with engineers working in other parts of the system stack. The book details advancements and adoption of DL models in industry, explains the training and deployment process, describes the essential hardware architectural features needed for today's and future models, and details advances in DL compilers to efficiently execute algorithms across various hardware targets. Unique in this book is the holistic exposition of the entire DL system stack, the emphasis on commercial applications, and the practical techniques to design models and accelerate their performance. The author is fortunate to work with hardware, software, data scientist, and research teams across many high-technology companies with hyperscale data centers. These companies employ many of the examples and methods provided throughout the book.
Book Synopsis CIMA Official Learning System Management Accounting Risk and Control Strategy by : Paul M. Collier
Download or read book CIMA Official Learning System Management Accounting Risk and Control Strategy written by Paul M. Collier and published by Elsevier. This book was released on 2008-09-11 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2009 edition of CIMA's Official Learning Systems has been written in conjunction with the Examiner to fully reflect what could be tested in the exam. Fully revised and now in 2 colour, paperback format the 2009 Learning Systems provide complete study material for the May and November 2009 exams. This edition includes: * practice questions throughout * complete revision section * topic summaries * recommended reading articles from a range of journals * Q & A's CIMA Learning Systmes are the only study materials endorsed and recomended by CIMA * The Official Learning Systems are the only study materials endorsed by CIMA * Fully revised with new examples and case studies * Written by the Examiner * Complete integrated package incorporating syllabus guidance, full text, recommended articles, revision guides and extensive question practice
Book Synopsis Learning Schools, Learning Systems by : Paul Clarke
Download or read book Learning Schools, Learning Systems written by Paul Clarke and published by A&C Black. This book was released on 2000-09-01 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Educational Research and Innovation Schooling Redesigned Towards Innovative Learning Systems by : OECD
Download or read book Educational Research and Innovation Schooling Redesigned Towards Innovative Learning Systems written by OECD and published by OECD Publishing. This book was released on 2015-10-22 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: What does redesigning schools and schooling through innovation mean in practice? How might it be brought about? These questions have inspired an influential international reflection on “Innovative Learning Environments” (ILE) led by the OECD.
Author :National Academies of Sciences, Engineering, and Medicine Publisher :National Academies Press ISBN 13 :0309496128 Total Pages :83 pages Book Rating :4.3/5 (94 download)
Book Synopsis Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies by : National Academies of Sciences, Engineering, and Medicine
Download or read book Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-08-22 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Intelligence Community Studies Board (ICSB) of the National Academies of Sciences, Engineering, and Medicine convened a workshop on December 11â€"12, 2018, in Berkeley, California, to discuss robust machine learning algorithms and systems for the detection and mitigation of adversarial attacks and anomalies. This publication summarizes the presentations and discussions from the workshop.
Book Synopsis Information Systems and Technologies to Support Learning by : Álvaro Rocha
Download or read book Information Systems and Technologies to Support Learning written by Álvaro Rocha and published by Springer. This book was released on 2018-10-24 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a selection of articles from the second edition of the conference Europe Middle East & North Africa Information Systems and Technologies to Support Learning 2018 (EMENA-ISTL'18), held in Fez, Morocco between 25th and 27th October 2018. EMENA-ISTL’18 was a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences and challenges in information systems & technologies to support learning. The main topics covered are: A) information systems technologies to support education; B) education in science, technology, engineering and Mathematics; C) emerging technologies in education learning innovation in the digital age; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer communications and networks; G) IOT, smart cities and people, wireless, sensor and ad-hoc networks; H) organizational models and information systems and technologies; I) human–computer Interaction; J) computers & security, ethics and data-forensic; K) health informatics, and medical informatics security; l) information and knowledge management; m) big data analytics and applications, intelligent data systems, and machine learning; n) artificial intelligence, high performance computing; o) mobile, embedded and ubiquitous systems; p) language and image processing, computer graphics and vision; and q) the interdisciplinary field of fuzzy logic and data mining.
Book Synopsis Intelligent Open Learning Systems by : Przemysław Różewski
Download or read book Intelligent Open Learning Systems written by Przemysław Różewski and published by Springer Science & Business Media. This book was released on 2011-07-29 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: In presented book the Intelligent Open Learning Systems (IOLS) are proposed, described, discussed, and evaluated. The IOLS is a system in which traditional methods of online teaching are enhanced through the use of artificial intelligence and cognitive science. This is the main topic of the book. It consists of ten chapters and is divided into three parts. The first part concentrates on the Open Learning System (OLS) analysis, in particular: the social and educational meanings of the OLS, the new role of the teacher and the new requirements regarding the structure of didactic material. Moreover, the cybernetic model of student, teacher and computer collaboration is presented, the teaching-learning process content and its main characteristics are discussed, and the system based approach to the OLS design is proposed. The second part is focused on the problem of knowledge modeling in the OLS based on the ontology and the competence approaches and leading to the learning object concept and competence management in open systems. The third part describes applications of the OLS in the virtual laboratory for competence transfer, the community-built system of distance learning network, and the AGH student city – the real-life application of the OLS concept. The authors’ research findings presented in the book should be useful in various applications related to knowledge management, e-learning systems and information systems.
Book Synopsis Designing Deep Learning Systems by : Chi Wang
Download or read book Designing Deep Learning Systems written by Chi Wang and published by Simon and Schuster. This book was released on 2023-09-19 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis AI and Learning Systems by : Konstantinos Kyprianidis
Download or read book AI and Learning Systems written by Konstantinos Kyprianidis and published by BoD – Books on Demand. This book was released on 2021-02-17 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis E-Learning Systems, Environments and Approaches by : Pedro Isaías
Download or read book E-Learning Systems, Environments and Approaches written by Pedro Isaías and published by Springer. This book was released on 2015-03-12 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume consists of twenty-five chapters selected from among peer-reviewed papers presented at the CELDA (Cognition and Exploratory Learning in the Digital Age) 2013 Conference held in Fort Worth, Texas, USA, in October 2013 and also from world class scholars in e-learning systems, environments and approaches. The following sub-topics are included: Exploratory Learning Technologies (Part I), e-Learning social web design (Part II), Learner communities through e-Learning implementations (Part III), Collaborative and student-centered e-Learning design (Part IV). E-Learning has been, since its initial stages, a synonym for flexibility. While this dynamic nature has mainly been associated with time and space it is safe to argue that currently it embraces other aspects such as the learners’ profile, the scope of subjects that can be taught electronically and the technology it employs. New technologies also widen the range of activities and skills developed in e-Learning. Electronic learning environments have evolved past the exclusive delivery of knowledge. Technology has endowed e-Learning with the possibility of remotely fomenting problem solving skills, critical thinking and team work, by investing in information exchange, collaboration, personalisation and community building.