Learning In The Cloud

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.

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.

This book helps educators design and deliver more accessible, engaging, and effective online learning experiences. The authors offer a highly practical approach to developing e-courses, virtual snow days, flipped classes, and blended learning experiences that meet the needs of diverse learners.

The Science and the Story of the Future of Learning Educators have been trying to harness the "promise" of technology in education for decades, to no avail, but we have learned that children in groups—when given access to the Internet—can learn anything by themselves. In this groundbreaking book, you’ll glimpse the emerging future of learning with technology. It turns out the promise isn’t in the technology itself; it’s in the self-directed learning of the children who use it. In 1999, Sugata Mitra conducted the famous "Hole in the Wall" experiment that inspired three TED Talks and earned him the first million-dollar TED prize for research in 2013. Since then, he has conducted new research around self-organized learning environments (SOLE), building "Schools in the Cloud" all over the world. This new book shares the results of this research and offers • Examples of thriving Schools in the Cloud in unlikely places • Mitra’s predictions on the future of learning • How to design assessments for self-organizing learning • How to build your own School in the Cloud • Clips from the documentary, The School in the Cloud Discover the future of learning by digging deep into Mitra’s thought-provoking experiences, examples, and vision.

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.

Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users

The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. This is the first textbook to teach students how to build data analytic solutions on large data sets (specifically in Internet of Things applications) using cloud-based technologies for data storage, transmission and mashup, and AI techniques to analyze this data. This textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science. Cloud and Cognitive Computing begins with two introductory chapters on fundamentals of cloud computing, data science, and adaptive computing that lay the foundation for the rest of the book. Subsequent chapters cover topics including cloud architecture, mashup services, virtual machines, Docker containers, mobile clouds, IoT and AI, inter-cloud mashups, and cloud performance and benchmarks, with a focus on Google's Brain Project, DeepMind, and X-Lab programs, IBKai HwangM SyNapse, Bluemix programs, cognitive initiatives, and neurocomputers. The book then covers machine learning algorithms and cloud programming software tools and application development, applying the tools in machine learning, social media, deep learning, and cognitive applications. All cloud systems are illustrated with big data and cognitive application examples.

What is the cloud? Discover the secrets of the cloud through simple explanations that use lots of pictures and lots of examples. Why learn about the cloud? It’s the future. The cloud is the future of software, the future of computing, and the future of business. If you’re not up on the cloud the future will move on without you. Don’t miss out. Not a geek? Don’t worry. I wrote this book for you! After reading Explain Cloud Like I'm 10, you will understand the cloud. That’s a promise. How do I deliver on that promise? I’ll let you in on a little secret: the cloud is not that hard to understand. It’s just that nobody has taken the time to explain it properly. take the time. I go slow. You’ll learn step-by-step; one idea at a time. You’ll learn something new no matter if you’re a beginner, someone who knows a little and wants to know more, or someone thinking about a career change. In Explain Cloud Like I'm 10, you’ll discover: •  How the cloud got its name. A more interesting story than you might think.An intuitive picture based definition of the cloud. •  What it means when someone says a service is in the cloud.If stormy weather affects cloud computing. •  How the internet really works. Most people don’t know. You will.The real genius of cloud computing. Hint: it’s not the technology. •  The good, the bad, and the ugly of cloud computing. •  How cloud computing changed how software is made—forever. •  Why Amazon AWS became so popular. Hint: it’s not the technology. •  What happens when you press play on Netflix. •  Why Kindle is the perfect example of a cloud service. •  The radically different approaches Apple and Google take to the cloud. •  How Google Maps and Facebook Messenger excel as cloud applications. •  Cloud providers are engaging in a winner-take-all war to addict you to their ecosystems. •  Key ideas like: VM, serverless, container, IaaS, PaaS, SaaS, virtualization, caching, ISP, OpEx, CapEx, network, AMI, EC2, S3, CDN, elastic computing, datacenter, and cloud-native.And so much more. Sound like gobbledygook? Don’t worry! It will all make sense. I’ve been a programmer and a writer for over 30 years. I’ve been in cloud computing since the beginning, and I’m here to help you on your journey to understand the cloud. Consider me your guide. I’ll be with you every step of the way. Sound fun? Buy Explain Cloud Like I'm 10 and let’s get started learning about the cloud today!