English | 2022 | ISBN: 0367638304 | 347 pages | True PDF EPUB | 234.34 MB
Taking essential media production processes, this book deconstructs them into the most basic components. Students will learn the concepts of media production – frame, sound, light, time, motion, and sequencing – and be able to apply them to any medium they choose, from film and television to fine art and online applications. They will also become well-grounded in the digital work environment and the tools required to produce media in today's digital environment. The primacy of content and the importance of an ethical approach to media making are also emphasized.
English | 2022 | ISBN: 135013323X | 281 pages | True PDF EPUB | 15.9 MB
For many outside of the scientific community, big data and the forms it takes, such as statistical lists, spreadsheets and graphs, often seem abstract and unintelligible. This book investigates how digital fabrication and traditional making approaches are being used to present data in newly engaging and interesting ways.
English | 2021 | ISBN: 1526780569 | 146 pages | True PDF | 85.25 MB
Includes eight separate projects with clear, easy to follow instructions with attractive photographs accompanying each step.
English | 2022 | ISBN: 1526774542 | 113 pages | True EPUB | 17.63 MB
Baking is booming! And Cake toppers are the perfect way to truly personalise a cake for any occassion. Whether baking your own or adding to a cheeky shop bought cake, Darren Allford's easy to follow steps are all you need to create your own cute, quirky mini masterpieces.
English | 2022 | ISBN: 1119631645 | 389 pages | True PDF | 67.31 MB
Maintenance, Reliabilty and Troubleshooting in ROTATING MACHINERY
English | 2022 | ISBN: 069118013X | 321 pages | True PDF | 55.05 MB
The essential introduction to magnetic reconnection—written by a leading pioneer of the field
English | 2022 | ISBN: 0804854726 | 116 pages | True PDF | 59.09 MB
From knotting a simple spiral bracelet to creating a boho wall hanging--macrame has never been easier or more stylish.
English | 2022 | ISBN: 3030941779 | 166 pages | True PDF EPUB | 19.28 MB
This book comprehensively covers the state-of-the-art security applications of machine learning techniques. The first part explains the emerging solutions for anti-tamper design, IC Counterfeits detection and hardware Trojan identification. It also explains the latest development of deep-learning-based modeling attacks on physically unclonable functions and outlines the design principles of more resilient PUF architectures. The second discusses the use of machine learning to mitigate the risks of security attacks on cyber-physical systems, with a particular focus on power plants. The third part provides an in-depth insight into the principles of malware analysis in embedded systems and describes how the usage of supervised learning techniques provides an effective approach to tackle software vulnerabilities.
English | 2022 | ISBN: 0367694328, 978-0367694326 | 200 pages | True PDF | 10.27 MB
This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence.
English | 2022 | ISBN: 1032193565 | 454 pages | True EPUB | 18.87 MB
This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision science for handling data.