The Algorithm S Blind Spot
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Wireless Algorithms Systems And Applications
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Author : Lei Wang
language : en
Publisher: Springer Nature
Release Date : 2022-11-17
Wireless Algorithms Systems And Applications written by Lei Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-17 with Technology & Engineering categories.
The three-volume set constitutes the proceedings of the 17th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2022, which was held during October 28-30, 2022. The conference took place in Dalian, China.The 95 full and 62 short papers presented in these proceedings were carefully reviewed and selected from 265 submissions. The contributions in theoretical frameworks and analysis of fundamental cross-layer protocol and network design and performance issues; distributed and localized algorithm design and analysis; information and coding theory for wireless networks; localization; mobility models and mobile social networking; underwater and underground networks; vehicular networks; algorithms, systems, and applications of edge computing
Algorithms And Ethics Ensuring Fairness In The Future Of Lending
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Author : Danilo Gilmore
language : en
Publisher: Nicholas Horne
Release Date :
Algorithms And Ethics Ensuring Fairness In The Future Of Lending written by Danilo Gilmore and has been published by Nicholas Horne this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
Are you concerned about the fairness and equity of algorithmic lending? This insightful book, Algorithms and Ethics: Ensuring Fairness in the Future of Lending, explores the critical intersection of artificial intelligence, lending practices, and ethical considerations. Discover how algorithms are reshaping credit scoring, the potential for bias and discrimination embedded within these systems, and the disproportionate impact on underserved communities. You'll delve into the sources of algorithmic bias, examining data representation, design flaws, and the perpetuation of inequality through feedback loops. The book analyzes existing regulations, their limitations, and proposed reforms, while also presenting ethical frameworks for responsible algorithm design and deployment. Learn about Explainable AI (XAI) and its importance in promoting transparency, the crucial role of data privacy and security, and the necessity of human oversight in mitigating bias. Explore practical strategies for auditing and monitoring lending systems, promoting financial inclusion, and building public trust. Real-world case studies illuminate the challenges and successes in striving for a fairer financial system. This essential guide offers a path towards more equitable access to credit for all, making it a must-read for anyone involved in or affected by algorithmic lending.
The Creativity Code
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Author : Marcus Du Sautoy
language : en
Publisher: Belknap Press
Release Date : 2020-03-03
The Creativity Code written by Marcus Du Sautoy and has been published by Belknap Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-03 with Computers categories.
“A brilliant travel guide to the coming world of AI.” —Jeanette Winterson What does it mean to be creative? Can creativity be trained? Is it uniquely human, or could AI be considered creative? Mathematical genius and exuberant polymath Marcus du Sautoy plunges us into the world of artificial intelligence and algorithmic learning in this essential guide to the future of creativity. He considers the role of pattern and imitation in the creative process and sets out to investigate the programs and programmers—from Deep Mind and the Flow Machine to Botnik and WHIM—who are seeking to rival or surpass human innovation in gaming, music, art, and language. A thrilling tour of the landscape of invention, The Creativity Code explores the new face of creativity and the mysteries of the human code. “As machines outsmart us in ever more domains, we can at least comfort ourselves that one area will remain sacrosanct and uncomputable: human creativity. Or can we?...In his fascinating exploration of the nature of creativity, Marcus du Sautoy questions many of those assumptions.” —Financial Times “Fascinating...If all the experiences, hopes, dreams, visions, lusts, loves, and hatreds that shape the human imagination amount to nothing more than a ‘code,’ then sooner or later a machine will crack it. Indeed, du Sautoy assembles an eclectic array of evidence to show how that’s happening even now.” —The Times
Cognitive Behavior And Human Computer Interaction Based On Machine Learning Algorithms
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Author : Sandeep Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2021-11-23
Cognitive Behavior And Human Computer Interaction Based On Machine Learning Algorithms written by Sandeep Kumar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-23 with Computers categories.
COGNITIVE BEHAVIOR AND HUMAN COMPUTER INTERACTION BASED ON MACHINE LEARNING ALGORITHMS The objective of this book is to provide the most relevant information on Human-Computer Interaction to academics, researchers, and students and for those from industry who wish to know more about the real-time application of user interface design. Human-computer interaction (HCI) is the academic discipline, which most of us think of as UI design, that focuses on how human beings and computers interact at ever-increasing levels of both complexity and simplicity. Because of the importance of the subject, this book aims to provide more relevant information that will be useful to students, academics, and researchers in the industry who wish to know more about its real-time application. In addition to providing content on theory, cognition, design, evaluation, and user diversity, this book also explains the underlying causes of the cognitive, social and organizational problems typically devoted to descriptions of rehabilitation methods for specific cognitive processes. Also described are the new modeling algorithms accessible to cognitive scientists from a variety of different areas. This book is inherently interdisciplinary and contains original research in computing, engineering, artificial intelligence, psychology, linguistics, and social and system organization as applied to the design, implementation, application, analysis, and evaluation of interactive systems. Since machine learning research has already been carried out for a decade in various applications, the new learning approach is mainly used in machine learning-based cognitive applications. Since this will direct the future research of scientists and researchers working in neuroscience, neuroimaging, machine learning-based brain mapping, and modeling, etc., this book highlights the framework of a novel robust method for advanced cross-industry HCI technologies. These implementation strategies and future research directions will meet the design and application requirements of several modern and real-time applications for a long time to come. Audience: A wide range of researchers, industry practitioners, and students will be interested in this book including those in artificial intelligence, machine learning, cognition, computer programming and engineering, as well as social sciences such as psychology and linguistics.
Perimetry Update 1992 1993
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Author : International Perimetric Society. Meeting
language : en
Publisher: Kugler Publications
Release Date : 1993
Perimetry Update 1992 1993 written by International Perimetric Society. Meeting and has been published by Kugler Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Gardening categories.
Models Algorithms Logics And Tools
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Author : Luca Aceto
language : en
Publisher: Springer
Release Date : 2017-08-17
Models Algorithms Logics And Tools written by Luca Aceto and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-17 with Computers categories.
This Festschrift is published in honor of Kim Guldstrand Larsen, one of the earliest precursors of computer science in Denmark, on the occasion of his 60th birthday. During the last three decades, Kim Guldstrand Larsen has given major contributions across a remarkably wide range of topics, including real-time, concurrent, and probabilistic models of computation, logic in computer science, and model checking. Since 1995, he has been one of the prime movers behind the model checking tool for real-time systems UPPAAL, for which he was a co-recipient of the CAV Award in 2013. The Festschrift contains 32 papers that feature the broad range of Kim Guldstrand Larsen's research topics, such as formal languages and automata theory; logic; verification, model checking and testing; algorithmic game theory and mechanism design; semantics and reasoning; real-time and distributed systems; and modeling and simulation.
Algorithms For Decision Making
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Author : Mykel J. Kochenderfer
language : en
Publisher: MIT Press
Release Date : 2022-08-16
Algorithms For Decision Making written by Mykel J. Kochenderfer and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-16 with Computers categories.
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.
Charts Guts And Algorithms What It Really Takes To Beat The Market
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Author : Harry South
language : en
Publisher: Field Books
Release Date :
Charts Guts And Algorithms What It Really Takes To Beat The Market written by Harry South and has been published by Field Books this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
Charts, Guts, and Algorithms: What It Really Takes to Beat the Market is a no-nonsense guide for investors ready to go beyond the clichés and confront the real demands of outperformance. Blending technical analysis, data-driven strategies, and the often-overlooked role of instinct, this book explores the messy, unpredictable, and deeply human side of markets. Whether you’re a retail trader, a quant, or an old-school chartist, you’ll discover how the best investors blend discipline with daring—and why relying solely on models or "gut feel" is a recipe for mediocrity. Equal parts tactical and philosophical, this is a field manual for those serious about competing in the world's most unforgiving arena.
40 Algorithms Every Data Scientist Should Know
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Author : Jürgen Weichenberger
language : en
Publisher: BPB Publications
Release Date : 2024-09-07
40 Algorithms Every Data Scientist Should Know written by Jürgen Weichenberger and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-07 with Computers categories.
DESCRIPTION Mastering AI and ML algorithms is essential for data scientists. This book covers a wide range of techniques, from supervised and unsupervised learning to deep learning and reinforcement learning. This book is a compass to the most important algorithms that every data scientist should have at their disposal when building a new AI/ML application. This book offers a thorough introduction to AI and ML, covering key concepts, data structures, and various algorithms like linear regression, decision trees, and neural networks. It explores learning techniques like supervised, unsupervised, and semi-supervised learning and applies them to real-world scenarios such as natural language processing and computer vision. With clear explanations, code examples, and detailed descriptions of 40 algorithms, including their mathematical foundations and practical applications, this resource is ideal for both beginners and experienced professionals looking to deepen their understanding of AI and ML. The final part of the book gives an outlook for more state-of-the-art algorithms that will have the potential to change the world of AI and ML fundamentals. KEY FEATURES ● Covers a wide range of AI and ML algorithms, from foundational concepts to advanced techniques. ● Includes real-world examples and code snippets to illustrate the application of algorithms. ● Explains complex topics in a clear and accessible manner, making it suitable for learners of all levels. WHAT YOU WILL LEARN ● Differences between supervised, unsupervised, and reinforcement learning. ● Gain expertise in data cleaning, feature engineering, and handling different data formats. ● Learn to implement and apply algorithms such as linear regression, decision trees, neural networks, and support vector machines. ● Creating intelligent systems and solving real-world problems. ● Learn to approach AI and ML challenges with a structured and analytical mindset. WHO THIS BOOK IS FOR This book is ideal for data scientists, ML engineers, and anyone interested in entering the world of AI. TABLE OF CONTENTS 1. Fundamentals 2. Typical Data Structures 3. 40 AI/ML Algorithms Overview 4. Basic Supervised Learning Algorithms 5. Advanced Supervised Learning Algorithms 6. Basic Unsupervised Learning Algorithms 7. Advanced Unsupervised Learning Algorithms 8. Basic Reinforcement Learning Algorithms 9. Advanced Reinforcement Learning Algorithms 10. Basic Semi-Supervised Learning Algorithms 11. Advanced Semi-Supervised Learning Algorithms 12. Natural Language Processing 13. Computer Vision 14. Large-Scale Algorithms 15. Outlook into the Future: Quantum Machine Learning
Algorithms And The End Of Politics
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Author : Scott Timcke
language : en
Publisher: Policy Press
Release Date : 2021-02-15
Algorithms And The End Of Politics written by Scott Timcke and has been published by Policy Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-15 with Social Science categories.
EPDF and EPUB available Open Access under CC-BY-NC-ND licence. As the US contends with issues of populism and de-democratization, this timely study considers the impacts of digital technologies on the country’s politics and society. Timcke provides a Marxist analysis of the rise of digital media, social networks and technology giants like Amazon, Apple, Facebook and Microsoft. He looks at the impact of these new platforms and technologies on their users who have made them among the most valuable firms in the world. Offering bold new thinking across data politics and digital and economic sociology, this is a powerful demonstration of how algorithms have come to shape everyday life and political legitimacy in the US and beyond.