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 English | 2022 | ISBN: 1789450187 , 978-1789450187 | 336 pages | True PDF | 4.03 MB This book is part ofAlgebra and Geometry, a subject within the SCIENCES collection published by ISTE and Wiley, and the second of three volumes specifically focusing on algebra and its applications. Algebra and Applications 2 centers on the increasing role played by combinatorial algebra and Hopf algebras, including an overview of the basic theories on non-associative algebras, operads and (combinatorial) Hopf algebras.  English | 2021 | ISBN: 1789450179 | 369 pages | True PDF EPUB | 18.14 MB This book is part of Algebra and Geometry, a subject within the SCIENCES collection published by ISTE and Wiley, and the first of three volumes specifically focusing on algebra and its applications. Algebra and Applications 1 centers on non-associative algebras and includes an introduction to derived categories. The chapters are written by recognized experts in the field, providing insight into new trends, as well as a comprehensive introduction to the theory. The book incorporates self-contained surveys with the main results, applications and perspectives. The chapters in this volume cover a wide variety of algebraic structures and their related topics. Jordan superalgebras, Lie algebras, composition algebras, graded division algebras, non-associative C*- algebras, H*-algebras, Krichever-Novikov type algebras, preLie algebras and related structures, geometric structures on 3-Lie algebras and derived categories are all explored. Algebra and Applications 1 is of great interest to graduate students and researchers.  English | 2021 | ISBN: 1119843049| 691 pages | True PDF EPUB | 280.75 MB Solve for 'X' with this practical and easy guide toeverythingalgebra  English | 2022 | ISBN: 9354791905 | 265 pages | True PDF EPUB | 16.68 MB The future of farming is here.  English | 2022 | ISBN: 1774637405 | 204 pages | True PDF | 1.99 MB This new volume provides the information needed to understand the simplex method, the revised simplex method, dual simplex method, and more for solving linear programming problems.  English | 2022 | ISBN: 148427850X | 363 pages | pdf, epub | 28.69 MB Jump start your Unity game development journey with a detailed review of a complete, professionally built game using Unity, C#, and Visual Studio. Gain invaluable experience with code structure, project structure, centralization of game state data, controlled initialization of script components, AI opponents, multiple input sources, player preferences, a full HUD and menu system, music and sound effects, level/track building, and more.  English | 2021 | ISBN: 0128221097 | 584 pages | True pdf, epub | 100.07 MB Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5-10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection.  English | 2021 | ISBN: 10320 72474| 578 pages | True PDF | 23.68 MB The book provides a valuable source of technical content for the prediction and analysis of advanced heat transfer problems, including conduction, convection, radiation, phase change, and chemically reactive modes of heat transfer.  English | 2021 | ISBN: 1119042763 , 978-1774691007 | 924 pages | True PDF | 15.46 MB ADVANCED FERMENTATION AND CELL TECHNOLOGY  English | 2021 | ISBN: 1685070612 | 370 pages | True PDF | 11.58 MB Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms: A Practical Approach Using Python describes the deep learning models and ensemble approaches applied to decision-making problems. The authors have addressed the concepts of deep learning, convolutional neural networks, recurrent neural networks, and ensemble learning in a practical sense providing complete code and implementation for several real-world examples. The authors of this book teach the concepts of machine learning for undergraduate and graduate-level classes and have worked with Fortune 500 clients to formulate data analytics strategies and operationalize these strategies. The book will benefit information professionals, programmers, consultants, professors, students, and industry experts who seek a variety of real-world illustrations with an implementation based on machine learning algorithms. |
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