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Start your reading journey today on DL4ALL.org and unlock a world of imagination, knowledge, and inspiration!  Free Download Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection English | 2024 | ISBN: 139419644X | 529 Pages | EPUB | 53 MB Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and machine learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats.  Free Download Liliana Blanco-Castañeda, "Applied Stochastic Modeling " English | ISBN: 3031312813 | 2023 | 158 pages | PDF | 2 MB This book provides the essential theoretical tools for stochastic modeling. The authors address the most used models in applications such as Markov chains with discrete-time parameters, hidden Markov chains, Poisson processes, and birth and death processes. This book also presents specific examples with simulation methods that apply the topics to different areas of knowledge. These examples include practical applications, such as modeling the COVID-19 pandemic and animal movement modeling. This book is concise and rigorous, presenting the material in an easily accessible manner that allows readers to learn how to address and solve problems of a stochastic nature.  Free Download Applied Stochastic Modeling English | 2023 | ISBN: 3031312813 | 154 Pages | EPUB (True) | 13 MB This book provides the essential theoretical tools for stochastic modeling. The authors address the most used models in applications such as Markov chains with discrete-time parameters, hidden Markov chains, Poisson processes, and birth and death processes. This book also presents specific examples with simulation methods that apply the topics to different areas of knowledge. These examples include practical applications, such as modeling the COVID-19 pandemic and animal movement modeling. This book is concise and rigorous, presenting the material in an easily accessible manner that allows readers to learn how to address and solve problems of a stochastic nature.  Free Download Applied Statistics and Econometrics: Basic Topics and Tools with Gretl and R English | 2024 | ISBN: 3031531418 | 256 Pages | PDF | 12 MB Taking a concise, non-technical approach, the book covers topics including simple regression and hypothesis testing, multiple regression with control variables and isolating effects, instrumental variables, dummy variables, non-linear effects, probability models, heteroskedasticity, time series analysis, and other applied statistical tools such as t-tests and chi squared tests. The book uses small data sets to easily facilitate students' transition from manual statistical calculations to using and understanding statistical software, including step-by-step examples of regression analysis, as well as additional chapters to aid with econometric notation and mathematical prerequisites, and accompanying online exercises and data sets. This book will be a valuable resource for upper undergraduate students taking courses in introductory econometrics and statistics, as well as students in business administration and other fields of study in social sciences utilising quantitative methods. Graduate students may also benefit from the book.  Free Download S. James Press, "Applied Multivariate Analysis: Using Bayesian and Frequentist Methods of Inference, Second Edition " English | ISBN: 0486442365 | 2005 | 704 pages | EPUB | 11 MB Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis as well as related models and applications.  Free Download Applied Methods of Cost-benefit Analysis in Health Care By Emma McIntosh, Philip Clarke, Emma J. Frew, Jordan J. Louviere (eds.) 2010 | 288 Pages | ISBN: 0199237123 | PDF | 2 MB This book provides the reader with a comprehensive set of instructions and examples of how to perform a cost-benefit analysis (CBA) of a health intervention. Developed out of a course run by Jordan Louviere at the University of Technology, Sydney, entitled An Introduction to Stated Preference Discrete Choice Modelling it has a particular focus on the use of stated preference survey methods to identify consumer preference data, as well as the use of recent developments in cost-effectiveness analysis within a CBA framework. In doing so, the most up to date methodologies for CBA are compiled in a comprehensive manner with the aim of advancing the methodology of CBA in healthcare. ABOUT THE SERIES Series editors Alastair Gray and Andrew Briggs Economic evaluation of health intervention is a growing specialist field, and this series of practical handbooks tackles, in depth, topics superficially addressed in more general economics books. Each volume includes illustrative material, case histories and worked examples to encourage the reader to apply the methods discussed, with supporting material provided online. The series is aimed at health economists in academia, the pharmaceutical industry and the health sector, those on advanced health economics courses, and health researchers in associated fields.  Free Download Applied Intelligence for Medical Image Analysis English | 2024 | ISBN: 177491476X | 273 Pages | PDF (True) | 15 MB Over the last decades, there has been a revolution in the use of new intelligent technologies to analyze and interpret medical images for diseases diagnosis, assessment ad treatment. This new volume explores the latest cutting-edge research in medical image analysis. The advanced intelligent technologies discussed include machine learning, ensemble methods in machine learning, deep learning methods and firebase technology, infrared thermography, deep convolution neural networks, and more. Some of the specific uses of these technologies include for brain tumor MRIs, for breast cancer screening, for polycystic ovary syndrome classification, for detecting and monitoring Alzheimer's disease, for monitoring of newborns, for retinal disease diagnosis, for Covid-19 detection, and more.  Free Download Hyatt Saleh, "Applied Deep Learning with PyTorch: Demystify neural networks with PyTorch" English | 2019 | pages: 254 | ISBN: 1789804590 | EPUB | 11,2 mb Machine learning is rapidly becoming the most preferred way of solving data problems, thanks to the huge variety of mathematical algorithms that find patterns, which are otherwise invisible to us.  Free Download Applied Computational Thinking with Python - Second Edition: Algorithm design for complex real-world problems by Dayrene Martinez English | December 29, 2023 | ISBN: 1837632308 | 438 pages | EPUB | 13 Mb Use the computational thinking philosophy to solve complex problems by designing appropriate algorithms to produce optimal results across various domainsKey FeaturesDevelop logical reasoning and problem-solving skills that will help you tackle complex problemsExplore core computer science concepts and important computational thinking elements using practical examplesFind out how to identify the best-suited algorithmic solution for your problemBook Description  Free Download Computational Hydraulics by user34 English | 2024 | ISBN: 9798891134157 | 334 pages | True PDF | 32.97 MB |
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