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English | September 15, 2023 | ISBN: 1800208588 | 344 pages | PDF | 28 Mb
Master reproducible ML and DL models with Python and PyTorch to achieve high performance, explainability, and real-world success

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English | 2024 | ISBN: 1804618128 | 466 Pages | EPUB (True) | 13 MB

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English | 2024 | ISBN: 9819963451 | 265 Pages | PDF EPUB (True) | 62 MB
This book presents new theories and working models in the areas of data analytics and learning. The papers included in this volume were presented at the second International Conference on Data Analytics and Learning (DAL 2022), which was organized by the Department of Computer Science & Engineering, Alva's Institute of Engineering & Technology, Moodbidri, Mangalore, Karnataka, India in association with the Department of Studies in Computer Science, University of Mysore, Mysuru, Karnataka, India. The areas covered include pattern recognition, image processing, deep learning, computer vision, data analytics, machine learning, artificial intelligence, and intelligent systems.

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English | 2024 | ISBN: 3031512650 | 190 Pages | PDF EPUB (True) | 25 MB
This book provides a comprehensive study of Federated Learning (FL) over wireless networks. It consists of three main parts: (a) Fundamentals and preliminaries of FL, (b) analysis and optimization of FL over wireless networks, and © applications of wireless FL for Internet-of-Things systems. In particular, in the first part, the authors provide a detailed overview on widely-studied FL framework. In the second part of this book, the authors comprehensively discuss three key wireless techniques including wireless resource management, quantization, and over-the-air computation to support the deployment of FL over realistic wireless networks. It also presents several solutions based on optimization theory, graph theory and machine learning to optimize the performance of FL over wireless networks. In the third part of this book, the authors introduce the use of wireless FL algorithms for autonomous vehicle control and mobile edge computing optimization.

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English | ISBN: 1908066490 | 2011 | 164 pages | PDF | 5 MB
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English | 2024 | ISBN: 3031393546 | 836 Pages | PDF EPUB (True) | 35 MB
This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a range of methods and resulting models that can be utilized to solve healthcare problems, the use of causal and predictive models are comprehensively discussed. Care is taken to systematically describe the concepts to facilitate the reader in developing a thorough conceptual understanding of how different methods and resulting models function and how these relate to their applicability to various issues in health care and medical sciences. Guidance is also given on how to avoid pitfalls that can be encountered on a day-to-day basis and stratify potential clinical risks.

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English | 2024 | ISBN: 1774914697 | 341 Pages | PDF (True) | 17 MB
This new volume provides in-depth and detailed knowledge about the latest research in image processing and computer vision techniques. Explaining the machine learning algorithms and models involved, the authors differentiate between the various algorithms available and how to choose which to use for the most precise results for a specific task involving certain constraints. The volume provides real-world examples to illustrate the concepts and methods.

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English | ISBN: 1908066636 | 2012 | 242 pages | PDF | 3 MB
This exciting new handbook draws on the experience of a wide range of authors to present a rich and informative exploration of the nature, manifestation and presentation of anxiety and depression in individuals with intellectual disabilities, and discusses the challenges and obstacles facing those who work with them. Alongside user perspectives and information for supporting families, it also discusses a range of approaches to working with this population, including case formulations, psychopharmacological interventions, cognitive therapy, psychodynamic approaches and solution focused therapy.

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The ultimate guide to passing the MLS-C01 exam on your first attempt
English | 2024 | ISBN: 1835082203 | 342 Pages | True EPUB | 18 MB

Free Download AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide - Second Edition:
The ultimate guide to passing the MLS-C01 exam on your first attempt
English | 2024 | ISBN: 1835082203 | 342 Pages | EPUB | 16 MB