The Animated ABC book of Machines
The Animated ABC E book of Equipment is a fun way for kids to study the alphabet. Each and every letter from Ambulance to Zamboni is entirely animated and incredibly entertaining to enjoy!
The Animated ABC E book of Equipment is a fun way for kids to study the alphabet. Each and every letter from Ambulance to Zamboni is entirely animated and incredibly entertaining to enjoy!
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Author : Helen Martin
Genre : Machinery
Summary : Tip trucks and toasters! Clocks and cranes! Machines are all around us, helping us every day. Come and explore the fascinating world of machines.
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Author : Helen Martin
Genre : Juvenile Nonfiction
Summary : 'WILL DELIGHT AND ENGAGE YOUNG CHILDREN' -- EssentialBaby.com.au on The ABC Book of ... series Machines save time throughout the day. They help us work. They help us play. Machines are always on the go! From dump trucks and diggers to vacuums and toasters, this bright and engaging board book picks up on a child's natural fascination with machines. A captivating book that will fascinate young readers. Ages 2-6
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Author : Jun Yu
Genre : Computers
Summary : The integration of machine learning techniques and cartoon animation research is fast becoming a hot topic. This book helps readers learn the latest machine learning techniques, including patch alignment framework; spectral clustering, graph cuts, and convex relaxation; ensemble manifold learning; multiple kernel learning; multiview subspace learning; and multiview distance metric learning. It then presents the applications of these modern machine learning techniques in cartoon animation research. With these techniques, users can efficiently utilize the cartoon materials to generate animations in areas such as virtual reality, video games, animation films, and sport simulations
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Author : J P. Telotte
Genre : Performing Arts
Summary : Throughout Disney's phenomenally successful run in the entertainment industry, the company has negotiated the use of cutting-edge film and media technologies that, J. P. Telotte argues, have proven fundamental to the company's identity. Disney's technological developments include the use of stereophonic surround sound for Fantasia, experimentation with wide-screen technology, inaugural adoption of three-strip Technicolor film, and early efforts at fostering depth in the animated image. Telotte also chronicles Disney's partnership with television, development of the theme park, and depiction of technology in science fiction narratives. An in-depth discussion of Disney's shift into digital filmmaking with its Pixar partnership and an emphasis on digital special effects in live-action films, such as the Pirates of the Caribbean series, also highlight the studio's historical investment in technology. By exploring the technological context for Disney creations throughout its history, The Mouse Machine illuminates Disney's extraordinary growth into one of the largest and most influential media and entertainment companies in the world. Hardback is unjacketed.
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Author : Mark Liu
Genre : Computers
Summary : The release of ChatGPT has kicked off an arms race in Machine Learning (ML), however ML has also been described as a black box and very hard to understand. Machine Learning, Animated eases you into basic ML concepts and summarizes the learning process in three words: initialize, adjust and repeat. This is illustrated step by step with animation to show how machines learn: from initial parameter values to adjusting each step, to the final converged parameters and predictions. This book teaches readers to create their own neural networks with dense and convolutional layers, and use them to make binary and multi-category classifications. Readers will learn how to build deep learning game strategies and combine this with reinforcement learning, witnessing AI achieve super-human performance in Atari games such as Breakout, Space Invaders, Seaquest and Beam Rider. Written in a clear and concise style, illustrated with animations and images, this book is particularly appealing to readers with no background in computer science, mathematics or statistics. Access the book's repository at: https://github.com/markhliu/MLA
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Author : Vincent F. Rocchio
Genre : Religion
Summary : Christianity and the Culture Machine is a precedent-shattering approach to combining theories of media and culture with theology. In this intensive examination of Christianity's role in the cultural marketplace, the author argues that Christianity's inability to effectively contest the ideology of secular humanism is not a theological shortcoming, but rather a communications problem: the institutional church is too wedded to an outmoded aesthetic of Christianity to communicate effectively. Privileging authority and obedience over the egalitarian and transformative goal of Christianity, the church fails to recognize how it undermines the vitality of the Christian narrative and message. In the absence of a more compelling vision offered by the official church, a new aesthetic can be found forming within the margins of popular culture texts. Despite its past failures in representing the Bible in mainstream film and television, the culture industry now offers more compelling versions of core Christian theology without even realizing it--within the margins of the main storylines. This book analyzes the aesthetic principles employed by these appropriations and articulations of Christian discourse as a means of theorizing what a new aesthetic of Christianity might look like.
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Author : John MacIntyre
Genre : Computers
Summary : This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.