Learning In The Cloud
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Learning In The Cloud
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Author : Mark Warschauer
language : en
Publisher: Teachers College Press
Release Date : 2011
Learning In The Cloud written by Mark Warschauer and has been published by Teachers College Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Education categories.
This comprehensive and cutting-edge book portrays a vision of how digital media can help transform schools, and what kinds of curriculum pedagogy, assessment, infrastructure, and learning environments are necessary for the transformation to take place. The author and his research team spent thousands of hours observing classes and interviewing teachers and students in both successful and unsuccessful technology-rich schools throughout the United States and other countries. Featuring lessons learned as well as analysis of the most up-to-date research, they offer a welcome response to simplistic approaches that either deny the potential of technology or exaggerate its ability to reform education simply by its presence in schools. Challenging conventional wisdom about technology and education, Learning in the Cloud: critically examines concepts such as the "digital divide," "21st-century skills," and "guide on the side" for assessing and guiding efforts to improve schools; combines a compelling vision of technology's potential to transform learning with an insightful analysis of the curricular challenges required for meaningful change; and discusses the most recent trends in media and learning, such as the potential of tablets and e-reading.
Introduction To Machine Learning In The Cloud With Python
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Author : Pramod Gupta
language : en
Publisher: Springer
Release Date : 2021-05-22
Introduction To Machine Learning In The Cloud With Python written by Pramod Gupta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-22 with Technology & Engineering categories.
This book provides an introduction to machine learning and cloud computing, both from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.
Cloud Computing
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Author : A. Srinivasan
language : en
Publisher:
Release Date : 2014
Cloud Computing written by A. Srinivasan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Cloud computing categories.
Digitalization Of Higher Education Using Cloud Computing
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Author : S. L. Gupta
language : en
Publisher: CRC Press
Release Date : 2021-12-28
Digitalization Of Higher Education Using Cloud Computing written by S. L. Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-28 with Computers categories.
Digitalization of Higher Education using Cloud Computing: Implications, Risk, and Challenges provides an insight into the latest technology and tools being used to explore learning in Higher Educational Institutions (HEIs). Cloud computing, being an up-and-coming technology, integrates with academia and industry, thereby enhancing the quality of education. The opportunities and challenges faced by HEIs in recent times due to technological disruptions have forced both academia and industry to realign their strategies for survival and growth. With the acceleration of cloud computing in higher education, it has now become imperative for educators to constantly upskill and reskill in order to meet the requirements of the future of work, particularly in the digital age. Technological advancement is an unstoppable wave and the lack of relevant skills to handle the disruptions in higher education will become a huge challenge if not addressed promptly. This is the new phase of Education 4.0 where HEIs are aligning themselves using cloud computing implications, and thus are preparing both faculties and students to embrace the changes happening in the teaching and learning processes. This book focuses on multi-faceted strategies to be adopted by HEIs to deal with the emerging issues related to teaching–learning processes using cloud computing, technological interventions, curriculum overhaul, experiential learning, multi-disciplinary approaches, and continuous innovations and digitalization. The book offers comprehensive coverage of many academic areas, with the most essential topics including: • Pedagogies in digital education using a cloud environment • Risks and challenges in cloud platforms for teaching and learning • Collaborative and group learning in a cloud environment • Enhancing quality of education using e-learning methodologies The sections in this book are "Cloud Enabled Digitalization of Higher Education" and "Innovations and Applications of Digitalization of Higher Education: A Cloud Perspective". The book will be useful for undergraduates, graduates, academicians, scholars, and policy makers. It will help readers acquire skills for a smooth transition from face-to-face teaching to cloud-based teaching.
Introduction To Machine Learning In The Cloud With Python
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Author : Pramod Gupta
language : en
Publisher:
Release Date : 2021
Introduction To Machine Learning In The Cloud With Python written by Pramod Gupta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
This book provides an introduction to machine learning and cloud computing, both from conceptual and practical levels, along with their usage with a Public Cloud infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and security considerations, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and several case studies. Provides broad coverage of AI, Machine Learning and Cloud Computing; Uses real examples and case studies to demonstrate key topics; Demonstrates concepts, as well as practical usage.
Classroom In The Cloud Seizing The Advantage In The Blended Learning Revolution
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Author : Alex McGrath
language : en
Publisher: Hachette UK
Release Date : 2014-10-13
Classroom In The Cloud Seizing The Advantage In The Blended Learning Revolution written by Alex McGrath and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-13 with Education categories.
This book aims to focus the minds of teachers and school leaders to take advantage of the opportunities presented by the online revolution and the emergence of blended learning. The author, who is Head of King's Ely Senior, argues that with planning and co-ordination, huge benefits can be reaped from new ways of learning, complementing the traditions of British education. He looks at the implications for the UK of e-learning practices and techniques that have been introduced overseas and urges teachers and leaders to face the challenges posed by new technology and embrace change.
Cloud Computing For Teaching And Learning Strategies For Design And Implementation
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Author : Chao, Lee
language : en
Publisher: IGI Global
Release Date : 2012-04-30
Cloud Computing For Teaching And Learning Strategies For Design And Implementation written by Chao, Lee and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-30 with Education categories.
With its cost efficiency, enabling of collaboration and sharing of resources, and its ability to improve access, cloud computing is likely to play a big role in the classrooms of tomorrow. Cloud Computing for Teaching and Learning: Strategies for Design and Implementation provides the latest information about cloud development and cloud applications in teaching and learning. The book alsos include empirical research findings in these areas for professionals and researchers working in the field of e-learning who want to implement teaching and learning with cloud computing, as well as provide insights and support to executives concerned with cloud development and cloud applications in e-learning communities and environments.
Building Machine Learning And Deep Learning Models On Google Cloud Platform
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Author : Ekaba Bisong
language : en
Publisher: Apress
Release Date : 2019-09-27
Building Machine Learning And Deep Learning Models On Google Cloud Platform written by Ekaba Bisong and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-27 with Computers categories.
Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments. Building Machine Learning and Deep Learning Models on Google Cloud Platform is dividedinto eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and products, advanced analytics on GCP, and deploying end-to-end machine learning solution pipelines on GCP. What You’ll Learn Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your results Know the programming concepts relevant to machine and deep learning design and development using the Python stack Build and interpret machine and deep learning models Use Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products Be aware of the different facets and design choices to consider when modeling a learning problem Productionalize machine learning models into software products Who This Book Is For Beginners to the practice of data science and applied machine learning, data scientists at all levels, machine learning engineers, Google Cloud Platform data engineers/architects, and software developers
The 2nd International Workshop On Learning Technology For Education In Cloud
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Author : Lorna Uden
language : en
Publisher:
Release Date : 2013-09-30
The 2nd International Workshop On Learning Technology For Education In Cloud written by Lorna Uden and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-30 with Digital media categories.
Zen Of Cloud
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Author : Haishi Bai
language : en
Publisher: CRC Press
Release Date : 2017-08-02
Zen Of Cloud written by Haishi Bai and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-02 with categories.
Zen of Cloud: Learning Cloud Computing by Examples on Microsoft Azure provides comprehensive coverage of the essential theories behind cloud computing and the Windows Azure cloud platform. Sharing the author�s insights gained while working at Microsoft�s headquarters, it presents nearly 70 end-to-end examples with step-by-step guidance on implementing typical cloud-based scenarios.The book is organized into four sections: cloud service fundamentals, cloud solutions, devices and cloud, and system integration and project management. Each chapter contains detailed exercises that provide readers with the opportunity to develop valuable hands-on skills in cloud service development. Explains how to prepare for Microsoft Azure development and how to use Microsoft Azure Management Portal Provides best practices for designing cloud-based applications Includes online access to updated examples and answers to the exercises Beginners can use this book as a guide in their journey through cloud computing. Experienced cloud developers will benefit from the specific examples and detailed guidance on implementing typical cloud-based scenarios. The examples cover a range of application types and technologies with varying levels of difficulties.Supplying comprehensive coverage of the Windows Azure cloud platform, the book provides a practical understanding and powerful tips that readers can immediately apply to their own work�making it ideal for cloud system developers, architects, and IT professionals. Organized into easily digestible sessions, it is also ideal for use in instructional settings.