Machine Learning for Dynamic Software Analysis: Potentials and Limits, Bennaceur
Название: High Performance Programming for Soft Computing ISBN: 146658601X ISBN-13(EAN): 9781466586017 Издательство: Taylor&Francis Рейтинг: Цена: 153120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book examines the present and future of soft computer techniques. It explains how to use the latest technological tools, such as multicore processors and graphics processing units, to implement highly efficient intelligent system methods using a general purpose computer.
Автор: Kalpokas Ignas, Kalpokiene Julija Название: Deepfakes: A Realistic Assessment of Potentials, Risks, and Policy Regulation ISBN: 3030938018 ISBN-13(EAN): 9783030938017 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book examines the use and potential impact of deepfakes, a type of synthetic computer-generated media, primarily images and videos, capable of both creating artificial representations of non-existent individuals and showing actual individuals doing things they did not do.
Автор: Collendanchise, Michele (italian Institute Of Technology, Genova, Italy) Ogren, Petter (kth Royal Institute Of Technology, Stockholm, Sweden) Название: Behavior trees in robotics and al ISBN: 1138593737 ISBN-13(EAN): 9781138593732 Издательство: Taylor&Francis Рейтинг: Цена: 84710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is the first book on Behavior Trees (BTs) in robotics and AI.
Learn Machine Learning, Deep Learning, Data Science and More
Machine learning is here; it is changing the world in ways you might not know yet. From search engines to speech recognition on your phone, machine learning is taking over.
If you have taken an interest in machine learning and want to learn how it all works, then you need some guidance before you can dive-in to the complicated stuff.
This book explains machine learning, in simple English, for beginners of all levels.
In this book, you will learn how machines are able to use data to learn on their own, discover how you can create sophisticated programs without the need for complex programming, and see daily applications of machine learning in action
Here's what you will find inside:
Introduction to machine learning from history, types of machine learning and examples.
Basics of machine learning: You will learn about datasets and see examples of the ones you can download
Machine learning algorithms: You will learn about neural networks and see practical applications of machine learning and deep learning algorithms
Machine learning software: You will get started with machine learning and see some of the most popular scientific computing software platforms.
Artificial intelligence and why it is important: You will learn how artificial intelligence relates to machine learning and what the future looks like.
You will get access to datasets and machine learning software so you can try out your very own machine learning project.
FAQ
Q: Do I need prior programming experience to make use of the book?
A: No. This book is intended for complete beginners to machine learning. The language used is simple and the reader is taken from one concept to the next in a progressive manner.
Q: Will this book make an expert in machine learning?
A: This book is intended to give beginners a firm introduction into machine learning so they are better placed to understand advanced machine learning concepts.
Автор: Ery Arias-Castro Название: Principles of Statistical Analysis: Learning from Randomized Experiments ISBN: 1108747442 ISBN-13(EAN): 9781108747448 Издательство: Cambridge Academ Рейтинг: Цена: 32730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a foundation for statistical inference. Covering essentials for advanced undergraduates and selected topics typically taught at the graduate level, its 700 problems - many computational - build understanding and skills.
Автор: Neapolitan, Richard E. (northeastern Illinois University, Illinois, Usa) Jiang, Xia (university Of Pittsburgh, Pennsylvania, Usa) Название: Contemporary artificial intelligence, second edition ISBN: 1138502383 ISBN-13(EAN): 9781138502383 Издательство: Taylor&Francis Рейтинг: Цена: 122490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update retains the same accessibility and problem-solving approach, while providing new material and methods, including neural networks and deep learning.
Автор: Hageback, Niklas (the Virtual Mind, Inc.) Название: Virtual mind ISBN: 113805402X ISBN-13(EAN): 9781138054028 Издательство: Taylor&Francis Рейтинг: Цена: 47970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book, through an in-depth and multidisciplinary review, defines the makeup of the unconscious and conscious part of the mind and its integrated patterns. The author describes how designing the logic that approximates human thinking can be produced and implemented as computer hardware.
Автор: Sam Freed Название: AI and Human Thought and Emotion ISBN: 0367029294 ISBN-13(EAN): 9780367029296 Издательство: Taylor&Francis Рейтинг: Цена: 107190.00 T Наличие на складе: Нет в наличии. Описание: This reference work examines how human thought processes and emotion can be captured by artificial intelligence (AI) algorithms and code. It provides a theoretical framework and demonstrates how code can be generate on the basis of the framework.
Автор: Ery Arias-Castro Название: Principles of Statistical Analysis: Learning from Randomized Experiments ISBN: 1108489672 ISBN-13(EAN): 9781108489676 Издательство: Cambridge Academ Рейтинг: Цена: 87650.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a foundation for statistical inference. Covering essentials for advanced undergraduates and selected topics typically taught at the graduate level, its 700 problems - many computational - build understanding and skills.
Автор: Hageback, Niklas (the Virtual Mind, Inc.) Название: Virtual mind ISBN: 1138054038 ISBN-13(EAN): 9781138054035 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book, through an in-depth and multidisciplinary review, defines the makeup of the unconscious and conscious part of the mind and its integrated patterns. The author describes how designing the logic that approximates human thinking can be produced and implemented as computer hardware.
Название: Risks of Artificial Intelligence ISBN: 1498734820 ISBN-13(EAN): 9781498734820 Издательство: Taylor&Francis Рейтинг: Цена: 127600.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
If the intelligence of artificial systems were to surpass that of humans, humanity would face significant risks. The time has come to consider these issues, and this consideration must include progress in artificial intelligence (AI) as much as insights from AI theory.
Featuring contributions from leading experts and thinkers in artificial intelligence, Risks of Artificial Intelligence is the first volume of collected chapters dedicated to examining the risks of AI. The book evaluates predictions of the future of AI, proposes ways to ensure that AI systems will be beneficial to humans, and then critically evaluates such proposals. The book covers the latest research on the risks and future impacts of AI. It starts with an introduction to the problem of risk and the future of artificial intelligence, followed by a discussion (Armstrong/Sokala/ h igeartaigh) on how predictions of its future have fared to date. Omohundro makes the point that even an innocuous artificial agent can easily turn into a serious threat for humans. T. Goertzel explains how to succeed in the design of artificial agents. But will these be a threat for humanity, or a useful tool? Ways to assure beneficial outcomes through 'machine ethics' and 'utility functions' are discussed by Brundage and Yampolskiy. B. Goertzel and Potapov/Rodionov propose 'learning' and 'empathy' as paths towards safer AI while Kornai explains how the impact of AI may be bounded. Sandberg explains the implications of human-like AI via the technique of brain emulation. Dewey discusses strategies to deal with the 'fast takeoff' of artificial intelligence and, finally, Bishop explains why there is no need to worry because computers will remain in a state of 'artificial stupidity'. Sharing insights from leading thinkers in artificial intelligence, this book provides you with an expert-level perspective of what is on the horizon for AI, whether it will be a threat for humanity, and how we might counteract this threat.
Автор: Arthur M Langer Название: Analysis and Design of Next-Generation Software Architectures ISBN: 303036898X ISBN-13(EAN): 9783030368982 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Поставка под заказ. Описание: This book provides a detailed “how-to” guide, addressing aspects ranging from analysis and design to the implementation of applications, which need to be integrated within legacy applications and databases.The analysis and design of the next generation of software architectures must address the new requirements to accommodate the Internet of things (IoT), cybersecurity, blockchain networks, cloud, and quantum computer technologies. As 5G wireless increasingly establishes itself over the next few years, moving legacy applications into these new architectures will be critical for companies to compete in a consumer-driven and social media-based economy. Few organizations, however, understand the challenges and complexities of moving from a central database legacy architecture to a ledger and networked environment.The challenge is not limited to just designing new software applications. Indeed, the next generation needs to function more independently on various devices, and on more diverse and wireless-centric networks. Furthermore, databases must be broken down into linked list-based blockchain architectures, which will involve analytic decisions regarding which portions of data and metadata will be processed within the chain, and which ones will be dependent on cloud systems. Finally, the collection of all data throughout these vast networks will need to be aggregated and used for predictive analysis across a variety of competitive business applications in a secured environment. Certainly not an easy task for any analyst/designer!Many organizations will continue to use packaged products and open-source applications. These third-party products will need to be integrated into the new architecture paradigms and have seamless data aggregation capabilities, while maintaining the necessary cyber compliances. The book also clearly defines the roles and responsibilities of the stakeholders involved, including the IT departments, users, executive sponsors, and third-party vendors. The book’s structure also provides a step-by-step method to help ensure a higher rate of success in the context of re-engineering existing applications and databases, as well as selecting third-party products, conversion methods and cybercontrols. It was written for use by a broad audience, including IT developers, software engineers, application vendors, business line managers, and executives.
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