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If you're looking for free educational programs or materials in the US and Canada, we'll help you find what you need for students and learners. ![]() English | 2022 | ISBN: 9781680456363 | 685 pages | EPUB | 121.96 MB This ALL NEW benchtop reference presents more ingenious and indispensable shop tips and pearls of wisdom collected by the editors of Make: and some of the most talented and prolific makers who've contributed to the magazine and Maker Faire over the past decade. Inside you'll find ALL NEW tips for measuring and cutting, gluing and fastening, clamping and joining, drilling, shop organizing, maintenance and repair, and more. The topics covered run the gamut from traditional shopcraft to electronics and soldering. You'll also encounter even more fascinating tales from experienced makers whose personal stories illuminate their favorite tools and best discoveries. Illustrated in full color with photos, drawings, and comic strips, Tips and Tales from the Workshop Volume 2 will continue to entertain and enlighten while inspiring you. ![]() English | 2022 | ISBN: 3110635224 | 254 pages | True PDF EPUB | 13.09 MB Magneto-optics describes in general any interaction between electromagnetic radiation and a material which is magnetized. The book gives a concise but comprehensive introduction to theory, calculus, and typical experimental set-up used in magneto-optics. It includes a variety of practice problems with detailed solutions. The focus lies on the spectral range between near-infrared and near ultraviolet light because it is easily accessible in experiment using standard quartz optics. ![]() English | 2022 | ISBN: 3110762757 , 978-3110762754 | 128 pages | True PDF EPUB | 8.49 MB This book discusses macromolecular chemistry, from natural to synthetic polymers. Natural polymers including carbohydrates, lipids, proteins, and nucleic acids are explored including their classifications and properties. Industrial synthetic polymers are discussed including their synthesis, characterization, and industrial use. Applications discussed include potential additives and biodegradable polymers. ![]() English | 2021 | ISBN: 1636392679 , 978-1636392653 | 123 pages | True PDF | 7.09 MB This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. We begin by describing how machine learning provides capabilities to computers and embedded systems to learn from data. A typical machine learning algorithm involves training, and generally the performance of a machine learning model improves with more training data. Deep learning is a sub-area of machine learning that involves extensive use of layers of artificial neural networks typically trained on massive amounts of data. Machine and deep learning methods are often used in contemporary data science tasks to address the growing data sets and detect, cluster, and classify data patterns. Although machine learning commercial interest has grown relatively recently, the roots of machine learning go back to decades ago. We note that nearly all organizations, including industry, government, defense, and health, are using machine learning to address a variety of needs and applications. ![]() English | 2019 | ISBN: 0750322144 | 410 pages | True (PDF,EPUB,MOB) | 159.84 MB Machine learning represents a paradigm shift in tomographic imaging, and image reconstruction is a new frontier of machine learning. This book will meet the needs of those who want to catch the wave of smart imaging. The book targets graduate students and researchers in the imaging community. Open network software, working datasets, and multimedia will be included. The first of its kind in the emerging field of deep reconstruction and deep imaging, Machine Learning for Tomographic Imaging presents the most essential elements, latest progresses and an in-depth perspective on this important topic. ![]() English | 2022 | ISBN: 8770223696, 978-8770223690 | 258 pages | True PDF | 121.47 MB The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, prediction, and manipulation. Layered signal representations, nonlinear function approximation and nonlinear signal prediction are now feasible at very large scale in both dimensionality and data size. These are leading to significant performance gains in a variety of long-standing problem domains like speech and image analysis as well as providing the ability to construct new classes of nonlinear functions (e.g., fusion, nonlinear filtering). ![]() English | 2022 | ISBN: 1540902021 | 265 pages | True EPUB | 5.47 MB We all experience difficult relationships. Oftentimes we try to reconcile but the other person simply won't, or else we find they can't keep the commitments they made during reconciliation. 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