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Learning Experience Design Essentials
Design Learning Experiences, Not EventsLearning Experience Design Essentials explores how new instructional designers and those looking to build their skills and align their function to the business can blend content and context to elevate learning experiences.Expert Cara North maps out the skills and capabilities that define the work learning experience design (LXD) professionals do. Cara lays out an LXD process to guide readers in creating effective experiences.It includes the all-important task analysis to understand the shoes your learners walk in while performing at work.Other steps include creating assessments, conducting usability testing, and messaging the why behind the learning experience. Traditional instructional design places undue emphasis on dumping training content on learners through a combination of information, media, and technology.What's missing is the context of how learning happens and the understanding that learning is a process, not a one-time event. This book will help you craft a 30/60/90day plan to apply the concepts throughout.By the end, you'll feel confident saying "yes" to the simple question, "Would you want to take your own learning experiences?"
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Deep Learning Design Patterns
Deep learning has revealed ways to create algorithms for applications that we never dreamed were possible.For software developers, the challenge lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Design Patterns is here to help.In it, you'll find deep learning models presented in a unique new way: as extendable design patterns you can easily plug-and-play into your software projects.Written by Google deep learning expert Andrew Ferlitsch, it's filled with the latest deep learning insights and best practices from his work with Google Cloud AI.Each valuable technique is presented in a way that's easy to understand and filled with accessible diagrams and code samples. about the technologyYou don't need to design your deep learning applications from scratch!By viewing cutting-edge deep learning models as design patterns, developers can speed up their creation of AI models and improve model understandability for both themselves and other users. about the book Deep Learning Design Patterns distills models from the latest research papers into practical design patterns applicable to enterprise AI projects.Using diagrams, code samples, and easy-to-understand language, Google Cloud AI expert Andrew Ferlitsch shares insights from state-of-the-art neural networks.You'll learn how to integrate design patterns into deep learning systems from some amazing examples, including a real-estate program that can evaluate house prices just from uploaded photos and a speaking AI capable of delivering live sports broadcasting.Building on your existing deep learning knowledge, you'll quickly learn to incorporate the very latest models and techniques into your apps as idiomatic, composable, and reusable design patterns. what's inside Internal functioning of modern convolutional neural networksProcedural reuse design pattern for CNN architecturesModels for mobile and IoT devicesComposable design pattern for automatic learning methodsAssembling large-scale model deploymentsComplete code samples and example notebooksAccompanying YouTube videos about the readerFor machine learning engineers familiar with Python and deep learning. about the author Andrew Ferlitsch is an expert on computer vision and deep learning at Google Cloud AI Developer Relations.He was formerly a principal research scientist for 20 years at Sharp Corporation of Japan, where he amassed 115 US patents and worked on emerging technologies in telepresence, augmented reality, digital signage, and autonomous vehicles.In his present role, he reaches out to developer communities, corporations and universities, teaching deep learning and evangelizing Google's AI technologies.
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Learning Experience Design : How to Create Effective Learning that Works
How can I create in-person learning that engages people?How can I build digital learning that is effective? How can I develop learning content that can be used remotely and ensure that the learning sticks?Learning Experience Design has the answers to all these questions and more.This book is a practical guide for all learning and development (L&D) professionals.It covers everything from what learning experience design (LXD) is, the role of the L&D professional in LXD, and what the main areas to consider when designing learning are including emotion, attention, memory, engagement, enjoyment, transfer, practice and learning retention.It includes practical advice for all areas of learning design including text, graphics, audio, visual, simulations, AR/VR, question and social design.There is also essential guidance on instructional design, UX (user experience) design and how to design effective learning analytics. The final part of the book covers design thinking, blended learning and discussion of LMSs (learning management systems), LXPs (learning experience platforms) and LRSs (learning record stores).With examples, tips, case studies and advice throughout, this is an invaluable book for anyone wanting to make an impact with their learning design and ensure knowledge, skills and performance improvement.
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System Design for Epidemics Using Machine Learning and Deep Learning
This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment.The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis.The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis.They study what can be learned from them and what can be leveraged efficiently.The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications.Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.
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The Psychophysics of Learning : Implications for Learning Systems Design and Configuration
The Psychophysics of Learning presents a learning system design approach that is formulated by the strategies and techniques the brain uses to process external information and make sense of that information to the learning ecology of all learners. The psychophysics of sensation, perception, and cognition provide the research information, which is used to formulate the learning system framework.These processes are inherent to all individuals and result in a model that promotes access, learning, and academic success for all learners. This information is applied to the design of the learning engagement, learning experience, and learning environment dimensions of a learning system.The psychophysics of sensation are applied to the design of the learning engagement strategies to ensure that all learners can intellectually access and comprehend the information presented as inputs to the learning system.The psychophysics of cognition are applied to the development of learning environments that integrate and internalize the external learning into the unique cognition of each learner.The resulting system creates a learning system design that is aligned with the natural learning processes of the brain.
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Kids Simulation Sewing Machine Toy Mini Furniture Educational Learning Design Clothing Bauble
Kids Simulation Sewing Machine Toy Mini Furniture Educational Learning Design Clothing Bauble
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Little Boxes - Learning: Learning
Little Boxes - Learning: Learning
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E-Learning Design on a Shoestring
Design Effective E-Learning Courses Despite Limited ResourcesHave you suddenly been asked to put together an e-learning course, but you have limited experience, time, or resources to do so?This happens often, and you’re not alone. E-Learning Design on a Shoestring offers talent development professionals a process for designing and developing e-learning courses, without breaking the bank.E-learning expert Marina Arshavskiy applies the Build-Borrow-Buy approach to provide guidance, quick tips, and shortcuts for creating meaningful asynchronous learning experiences. With this book, you will learn to tap into learner motivation and engagement; create e-learning scripts, storyboards, and prototypes; and build inexpensive yet effective interactivity in your courses.It also guides you on saving time and money by auditing existing e-learning content and creating reusable content.You’ll discover how to manage e-learning projects efficiently, select technology that meets your course needs, and secure buy-in for current and future e-learning efforts. The Association for Talent Development’s On a Shoestring series helps professionals successfully execute core topics in training and talent development when facing limitations of time, money, staff, and other resources.Using the Build-Borrow-Buy approach to problem solving, this series is designed for practitioners who work as a department of one; for new or “accidental” trainers, instructional designers, and learning managers who need fast, inexpensive access to practical strategies that work; and for those who work for small organizations or in industries that have limited training and development resources.
Price: 17.99 £ | Shipping*: 3.99 £
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