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 Lindsay M. Chervinsky, "Making the Presidency: John Adams and the Precedents That Forged the Republic" English | ISBN: 0197653847 | 2024 | 440 pages | AZW3 | 7 MB An authoritative account of the second president of the United States that shows how John Adams's leadership and legacy defined the office for those who followed and ensured the survival of the American republic.  Michael Burda, "Macroeconomics: a European Text" English | ISBN: 0198737513 | 2017 | 624 pages | EPUB | 32 MB Macroeconomics teaches students to be young economists, providing a contemporary approach to the subject and a wealth of real-life case studies to allow students to understand how economics works in practice.  Mrs Kiran Jotwani, "Macro Economic Analysis" English | ISBN: 9383750383 | 2013 | 232 pages | PDF | 2 MB 1 Introduction 2 Money and Value of money 3 Theory of Income And Employment 4 Savings 5 Investments 6 Trade Cycle Bibliography  Machines That Think: How Artificial Intelligence Works and What It Means For Us English | 2026 | ISBN: 1493227610 | 261 pages | True PDF,EPUB | 10.9 MB The acclaimed bestseller, now in English, from award-winning author Inga Strümke and translator Lena Vatne Bjørlo!  Issam El Naqa, "Machine and Deep Learning in Oncology, Medical Physics and Radiology" English | ISBN: 3030830462 | 2022 | 529 pages | MOBI | 5 MB This book, now in an extensively revised and updated second edition, provides a comprehensive overview of both machine learning and deep learning and their role in oncology, medical physics, and radiology. Readers will find thorough coverage of basic theory, methods, and demonstrative applications in these fields. An introductory section explains machine and deep learning, reviews learning methods, discusses performance evaluation, and examines software tools and data protection. Detailed individual sections are then devoted to the use of machine and deep learning for medical image analysis, treatment planning and delivery, and outcomes modeling and decision support. Resources for varying applications are provided in each chapter, and software code is embedded as appropriate for illustrative purposes. The book will be invaluable for students and residents in medical physics, radiology, and oncology and will also appeal to more experienced practitioners and researchers and members ofapplied machine learning communities.  Machine Learning with Python: A Guide for Beginners by William V. Jenkins English | 2026 | ASIN: B0GL435BZ5 | 207 Pages | PDF | 89 MB  Machine Learning for Sustainable Energy Solutions English | 2026 | ISBN: 1394267401 | 296 pages | PDF, True EPUB | 20.72 MB Comprehensive insights into integrating modern engineering techniques with machine learning and renewable energy to create a more sustainable world  Machine Learning for Drug Discovery (MEAP 11) English | 2026 | ISBN: 9781633437661 | 857 pages | True PDF,EPUB | 117.74 MB Discover how machine learning, deep learning, and generative AI have transformed the pharmaceutical pipeline as you get a hands-on introduction to building models with PyTorch-including diving into Deepmind's Alphafold.  Machine Learning: Theory, Algorithms, and Applications : A Comprehensive Guide to Supervised, Unsupervised, Deep, and Reinforcement Learning with Python by ARMAND EUGEN PASARICA English | 2026 | ASIN: B0GJJT98DB | 601 pages | pdf | 388 MB  Benjamin Hudson, "Macbeth before Shakespeare" English | ISBN: 0197567533 | 2023 | 312 pages | MOBI | 5 MB Macbeth is arguably the world's most famous monarch. Both the historical king and the literary character have fascinated writers and audiences for centuries, beginning with the poets who recited their verses at the medieval monarch's court. Macbeth's legend began almost immediately after his death as medieval and Renaissance writers gradually replaced the king with a semi-literary character developed and embroidered to suit their own political and cultural agenda. The process of transformation culminated in playwright William Shakespeare's The Tragedie of Macbeth. |
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