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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: 978-1527587281 | 276 pages | True PDF | 12.61 MB This book contains recent and important results on the deep study of the universe through one of the fields observable that will have a great impact in the next 100 years on space-time research and the creation of future technologies. It will appeal to mathematicians, natural scientists, cosmologists, theoretical physicians, particle physicians, electronics researchers and postgraduate students in mathematical physics dedicated to the study of the universe. [center]  English | 2022 | ISBN: 1633439844 | 568 pages | True EPUB, MOBI | 137.21 MB Deep learning from the ground up using R and the powerful Keras library! In Deep Learning with R, Second Edition you will learn  English | 2022 | ISBN: 1617295442 | 296 pages | True PDF | 9.56 MB Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, NLP expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field.  English | 2023 | ISBN: 978-8770223898 | 312 pages | True PDF | 30.22 MB Health care today is known to suffer from siloed and fragmented data, delayed clinical communications, and disparate workflow tools due to the lack of interoperability caused by vendor-locked health care systems, lack of trust among data holders, and security/privacy concerns regarding data sharing. The health information industry is ready for big leaps and bounds in terms of growth and advancement. This book is an attempt to unveil the hidden potential of the enormous amount of health information and technology. Throughout this book, we attempt to combine numerous compelling views, guidelines, and frameworks to enable personalized health care service options through the successful application of deep learning frameworks. The progress of the health-care sector will be incremental as it learns from associations between data over time through the application of suitable AI, deep net frameworks, and patterns. The major challenge health care is facing is the effective and accurate learning of unstructured clinical data through the application of precise algorithms. Incorrect input data leading to erroneous outputs with false positives is intolerable in healthcare as patients' lives are at stake. This book is written with the intent to uncover the stakes and possibilities involved in realizing personalized health-care services through efficient and effective deep learning algorithms.  English | 2022 | ISBN: 1804615447 | 470 pages | True EPUB | 8.26 MB Learn concepts, methodologies, and applications of deep learning for building predictive models from complex genomics data sets to overcome challenges in the life sciences and biotechnology industries Key Features  English | 2022 | ISBN: 1804615447 | 270 pages | True PDF | 15.03 MB Learn concepts, methodologies, and applications of deep learning for building predictive models from complex genomics data sets to overcome challenges in the life sciences and biotechnology industries Key Features  English | 2022 | ISBN: 978-0750340229 | 267 pages | True PDF EPUB | 33.76 MB Artificial intelligence is gaining traction in areas of social responsibility. From climate change to social polarization to epidemics, humankind has been seeking new solutions to these ever-present problems. Deep learning (DL) techniques have increased in power in recent years, with algorithms already exhibiting tremendous possibilities in domains such as scientific research, agriculture, smart cities, finance, healthcare, conservation, the environment, industry and more. Innovative ideas using appropriate DL frameworks are now actively employed for the development of and delivering a positive impact on smart cities and societies. This book highlights the importance of specific frameworks such as IoT-enabled frameworks or serverless cloud frameworks that are applying DL techniques for solving persistent societal problems. It addresses the challenges of DL implementation, computation time, and the complexity of reasoning and modelling different types of data. In particular, the book explores and emphasises techniques involved in DL such as image classification, image enhancement, word analysis, human–machine emotional interfaces and the applications of these techniques for smart cities and societal problems. To extend the theoretical description, the book is enhanced through case studies, including those implemented using tensorflow2 and relevant IoT-specific sensor/actuator frameworks. The broad coverage will be essential reading not just to advanced students and academic researchers but also to practitioners and engineers looking to deliver an improved society and global health. Part of IOP Series in Next Generation Computing. [center]  English | 2022 | ISBN: 978-1119845010 | 542 pages | True PDF | 10.95 MB DEEP LEARNING A concise and practical exploration of key topics and applications in data science In Deep Learning: From Big Data to Artificial Intelligence with R , expert researcher Dr. Stéphane Tufféry delivers an insightful discussion of the applications of deep learning and big data that focuses on practical instructions on various software tools and deep learning methods relying on three major libraries: MXNet, PyTorch, and Keras-TensorFlow. In the book, numerous, up-to-date examples are combined with key topics relevant to modern data scientists, including processing optimization, neural network applications, natural language processing, and image recognition.  English | 2022 | ISBN: 978-1685077198 | 299 pages | True PDF | 7 MB This book contributes as a rich source of information on the synthesis, main properties, toxicity and applications of Deep Eutectic Solvents (DESs). It covers the viable and sustainable use of these special solvents that due to the versatility of the preparation can be tuned for specific applications. Both hydrophilic and hydrophobic DESs are covered over the chapters. The book covers, in addition to the fundamentals of DESs, their use in extraction processes, in the pre-treatment of biomass, as solvents for catalytic processes and in processes for carbon dioxide capture, among others. The purpose of the book is it can reach a wide audience, so it can serve both as a reference for experienced professionals and to students interested in the field. In this sense, the book contributes to the state of the art in the application of DESs and addresses the challenges that must be faced for the industrial application of these special solvents. [center]  English | 2022 | ISBN: 0323857612 | 386 pages | True PDF EPUB | 57.43 MB Decision Science and Operations Management of Solar Energy System looks beyond developing a solar power plant by also considering the requirements necessary to manage effective power plant operation for the long-term. This book includes data of solar power plants and quantitative techniques of statistical analysis used to inform decision-making for solar energy systems, thus enabling readers to predict future individual solar power system forecasts using different technical and financial parameters. Including data visualization, descriptive statistics, sampling techniques, plant layout, manufacturing economics, inventory management and total quality management of solar energy system, this book covers new insights as well as established fundamentals. The detailed information in this reference bridges the gap between theory and practice in the operation of solar energy systems for researchers, professionals and students working in the area of solar and renewable energy. |
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