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 Free Download Generative Intelligence in Healthcare: Transforming Patient Care with AI Creativity English | 2025 | ISBN: 1032887400 | 398 Pages | PDF EPUB (True) | 21 MB This book explores the intersection of artificial intelligence and healthcare with a focus on generative intelligence. The book will introduce the concept of generative intelligence and its transformative potential in patient care, showcasing applications that go beyond conventional AI approaches.  Free Download Generative Deep Learning, 2a edizione Italiano | 2023 | ISBN: 9798341643543 | 532 Pages | EPUB | 31 MB L'intelligenza artificiale generativa è l'argomento più caldo nel mondo della tecnologia. Questo libro pratico insegna agli ingegneri di machine learning e ai data scientist come usare TensorFlow e Keras per creare da zero modelli di deep learning generativi davvero impressionanti, tra cui autoencoder variazionali (VAE), reti generative avversarie (GAN), trasformatori, flussi normalizzanti, modelli basati sull'energia e modelli di diffusione con denoising.  Free Download Generative AI for Core Product Evolution in Recruitment English | 2025 | ISBN: 9781806112951 | 52 Pages | EPUB | 3 MB The problem: A scalability crisis in technical hiring. The rise of generative AI, particularly ChatGPT, signaled a fundamental shift in how hiring and assessments would evolve.  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Since the introduction of the idea of generalized linear models (GLM) in early seventies, during the past four decades the modelling of statistical data have experienced a major transformation from linear models based on normality assumption to a more flexible unified approach of generalized linear models. The number of readers and users of generalized linear models have increased manifold. In addition, the use of generalized linear models has expanded in many new fields of applications where statistical models are being employed at an increasing rate. It is important to note here that the learners and users of GLM have a widely varied background in different disciplines. Considering these pressing needs, this book focuses on: (i) upper undergraduate and graduate level students in need of a thorough understanding about the basic concepts of generalized linear models along with appropriate applications; (ii) researchers and users in need of advanced generalized linear models for analysing bivariate or multivariate data stemming from longitudinal or repeated measures data; and (iii) new challenges to analyse big data where the traditional techniques fail to provide any reasonable modelling strategy. In other words, this book starts with a thorough background of the generalized linear models for the new learners, then provides multivariate extensions to advanced level techniques for researchers and users in various disciplines, and finally some innovative modelling strategies are introduced using generalized linear models in the emerging field of big data analytics. It provides materials for new learners, for users/researchers who are in need of more advanced techniques and also strategies for employing linear models in big data analytics. Hence, techniques of generalized linear models will be presented in the proposed book covering the needs of new learners, users of advanced techniques, researchers in need of statistical modelling of any data type and users of big data analytics wanting to increase predictive accuracy of classification and regression tree techniques.  Free Download General Relativity: A Graduate Course English | 2025 | ISBN: 1009575759 | 402 Pages | PDF | 7 MB This text on general relativity and its modern applications is suitable for an intensive one-semester course on general relativity, at the level of a Ph.D. student in physics. Assuming knowledge of classical mechanics and electromagnetism at an advanced undergraduate level, basic concepts are introduced quickly, with greater emphasis on their applications. Standard topics are covered, such as the Schwarzschild solution, classical tests of general relativity, gravitational waves, ADM parametrization, relativistic stars and cosmology, as well as more advanced standard topics like vielbein-spin connection formulation, trapped surfaces, the Raychaudhuri equation, energy conditions, the Petrov and Bianchi classifications and gravitational instantons. More modern topics, including black hole thermodynamics, gravitational entropy, effective field theory for gravity, the PPN expansion, the double copy and fluid-gravity correspondence, are also introduced using the language understood by physicists, without too abstract mathematics, proven theorems, or the language of pure mathematics.  Free Download Elizabeth F. Evans, "Gender and Literary Geography " English | ISBN: 1009571664 | 2025 | 75 pages | PDF | 6 MB Our analysis of over 20,000 books published in Britain between 1800 and 2009 compares the geographic attention of fiction authored by women and by men; of books that focus on women and men as characters; and of works published in different eras. We find that, while there were only modest differences in geographic attention in books by men and women authors, there were dramatic geographic differences in books with highly gendered character space. Counter to expectation, the geographic differences between differently gendered characters were remarkably stable across these centuries. We also examine and complicate the power attributed to separate-sphere ideology. And we demonstrate a surprising reversal of critical expectation: in fiction, broadly natural spaces were more strongly associated with men, while urban spaces were more aligned with women. As it uncovers spatial patterns in literary history, this study casts new light on well-known texts and reimagines literature's broader engagement with gender and geography. |
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