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Free Ebooks DownloadWelcome to DL4ALL.org – your ultimate destination for ebooks across every genre. Whether you’re into fiction, self-help, education, or niche topics, we offer an extensive library to satisfy your thirst for knowledge and entertainment. Why Choose DL4ALL.org?
Start your reading journey today on DL4ALL.org and unlock a world of imagination, knowledge, and inspiration!  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.  English | 2022 | ISBN: 1032072814 | 191 pages | True PDF | 3.25 MB Machine Learning is an integral tool in a business analyst's arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions. |
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