0
Your cart

Your cart is empty

Browse All Departments
Price
  • R100 - R250 (117)
  • R250 - R500 (472)
  • R500+ (26,072)
  • -
Status
Format
Author / Contributor
Publisher

Books > Computing & IT > Applications of computing > Artificial intelligence

Recent Advances in Natural Computing - Selected Results from the IWNC 8 Symposium (Hardcover, 1st ed. 2016): Yasuhiro Suzuki,... Recent Advances in Natural Computing - Selected Results from the IWNC 8 Symposium (Hardcover, 1st ed. 2016)
Yasuhiro Suzuki, Masami Hagiya
R3,717 R3,468 Discovery Miles 34 680 Save R249 (7%) Ships in 12 - 17 working days

This book highlights recent advances in natural computing, including biology and its theory, bio-inspired computing, computational aesthetics, computational models and theories, computing with natural media, philosophy of natural computing, and educational technology. It presents extended versions of the best papers selected from the "8th International Workshop on Natural Computing" (IWNC8), a symposium held in Hiroshima, Japan, in 2014. The target audience is not limited to researchers working in natural computing but also includes those active in biological engineering, fine/media art design, aesthetics, and philosophy.

Formation and Containment Control for High-order Linear Swarm Systems (Hardcover, 1st ed. 2016): Xiwang Dong Formation and Containment Control for High-order Linear Swarm Systems (Hardcover, 1st ed. 2016)
Xiwang Dong
R4,111 R2,046 Discovery Miles 20 460 Save R2,065 (50%) Ships in 12 - 17 working days

This book focuses on analysis and design problems for high-order linear time-invariant (LTI) swarm systems (multi-agent systems) to achieve consensus, formation, containment and formation-containment. As a first step, the concepts of practical consensus and formation-containment are introduced. Unlike previous research, the formation in this book can be time-varying. A general framework for consensus, consensus tracking, formation, containment and state formation-containment is presented for the first time. Sufficient/necessary and sufficient conditions, and approaches to designing the protocols for swarm systems to achieve these control objectives, are respectively proposed. Autonomous time-varying formation experiments using five quadrotor unmanned aerial vehicles (UAVs) are conducted in an outdoor setting to demonstrate the theoretical results.

Beyond Algorithms - Delivering AI for Business (Hardcover): James,Luke, David Porter, Padmanabhan Santhanam Beyond Algorithms - Delivering AI for Business (Hardcover)
James,Luke, David Porter, Padmanabhan Santhanam
R3,860 Discovery Miles 38 600 Ships in 9 - 15 working days

Focuses on the definition, engineering, and delivery of AI solutions as opposed to AI itself Reader will still gain a strong understanding of AI, but through the perspective of delivering real solutions Explores the core AI issues that impact the success of an overall solution including i. realities of dealing with data, ii. impact of AI accuracy on the ability of the solution to meet business objectives, iii. challenges in managing the quality of machine learning models Includes real world examples of enterprise scale solutions Provides a series of (optional) technical deep dives and thought experiments.

The Eye of the Master - A Social History of Artificial Intelligence (Paperback): Matteo Pasquinelli The Eye of the Master - A Social History of Artificial Intelligence (Paperback)
Matteo Pasquinelli
R637 R509 Discovery Miles 5 090 Save R128 (20%) Ships in 10 - 15 working days

What is AI? A dominant view describes it as the quest "to solve intelligence" - a solution supposedly to be found in the secret logic of the mind or in the deep physiology of the brain, such as in its complex neural networks. The Eye of the Master argues, to the contrary, that the inner code of AI is shaped not by the imitation of biological intelligence, but the intelligence of labour and social relations, as it is found in Babbage's "calculating engines" of the industrial age as well as in the recent algorithms for image recognition and surveillance. The idea that AI may one day become autonomous (or "sentient", as someone thought of Google's LaMDA) is pure fantasy. Computer algorithms have always imitated the form of social relations and the organisation of labour in their own inner structure and their purpose remains blind automation. The Eye of the Master urges a new literacy on AI for scientists, journalists and new generations of activists, who should recognise that the "mystery" of AI is just the automation of labour at the highest degree, not intelligence per se.

Encyclopedia of Biometrics (Hardcover, 2nd ed. 2015): Stan Z. Li, Anil K. Jain Encyclopedia of Biometrics (Hardcover, 2nd ed. 2015)
Stan Z. Li, Anil K. Jain
R14,458 Discovery Miles 144 580 Ships in 10 - 15 working days

This encyclopedia provides a comprehensive reference to topics in biometrics including concepts, modalities, algorithms, devices, systems, security, performance testing, applications and standardization. With an A-Z format and over 1400 entries, it provides easy access to relevant information on all aspects of biometrics for those seeking entry into this broad field. Entries are written by experts in biometrics and related fields. Each entry includes a definition, key words, list of synonyms, list of related entries, illustration(s), applications and a bibliography. Most entries include useful literature references providing the reader with a portal to more detailed information. Comprehensive and tutorial, the Encyclopedia of Biometrics, 2nd Edition is a practical resource for experts in the field and professionals interested in aspects of biometrics.

Control Systems and Reinforcement Learning (Hardcover): Sean Meyn Control Systems and Reinforcement Learning (Hardcover)
Sean Meyn
R1,659 R1,544 Discovery Miles 15 440 Save R115 (7%) Ships in 12 - 17 working days

A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of 'deep' or 'Q', or why the code sometimes fails. This book is designed to explain the science behind reinforcement learning and optimal control in a way that is accessible to students with a background in calculus and matrix algebra. A unique focus is algorithm design to obtain the fastest possible speed of convergence for learning algorithms, along with insight into why reinforcement learning sometimes fails. Advanced stochastic process theory is avoided at the start by substituting random exploration with more intuitive deterministic probing for learning. Once these ideas are understood, it is not difficult to master techniques rooted in stochastic control. These topics are covered in the second part of the book, starting with Markov chain theory and ending with a fresh look at actor-critic methods for reinforcement learning.

The Frontlines of Artificial Intelligence Ethics - Human-Centric Perspectives on Technology's Advance (Paperback): Andrew... The Frontlines of Artificial Intelligence Ethics - Human-Centric Perspectives on Technology's Advance (Paperback)
Andrew J. Hampton, Jeanine A. DeFalco
R1,034 Discovery Miles 10 340 Ships in 9 - 15 working days

This foundational text examines the intersection of AI, psychology, and ethics, laying the groundwork for the importance of ethical considerations in the design and implementation of technologically supported education, decision support, and leadership training. AI already affects our lives profoundly, in ways both mundane and sensational, obvious and opaque. Much academic and industrial effort has considered the implications of this AI revolution from technical and economic perspectives, but the more personal, humanistic impact of these changes has often been relegated to anecdotal evidence in service to a broader frame of reference. Offering a unique perspective on the emerging social relationships between people and AI agents and systems, Hampton and DeFalco present cutting-edge research from leading academics, professionals, and policy standards advocates on the psychological impact of the AI revolution. Structured into three parts, the book explores the history of data science, technology in education, and combatting machine learning bias, as well as future directions for the emerging field, bringing the research into the active consideration of those in positions of authority. Exploring how AI can support expert, creative, and ethical decision making in both people and virtual human agents, this is essential reading for students, researchers, and professionals in AI, psychology, ethics, engineering education, and leadership, particularly military leadership.

Deep Learning with R, Second Edition (Paperback, 2nd edition): Francois Chollet, Tomasz Kalinowski, Joseph Allaire Deep Learning with R, Second Edition (Paperback, 2nd edition)
Francois Chollet, Tomasz Kalinowski, Joseph Allaire
R1,257 Discovery Miles 12 570 Ships in 12 - 17 working days

Deep learning from the ground up using R and the powerful Keras library! In Deep Learning with R, Second Edition you will learn: Deep learning from first principles Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation, neural style transfer, and image generation Deep Learning with R, Second Edition shows you how to put deep learning into action. It's based on the revised new edition of Francois Chollet's bestselling Deep Learning with Python. All code and examples have been expertly translated to the R language by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RStudio. Novices and experienced ML practitioners will love the expert insights, practical techniques, and important theory for building neural networks. about the technology Deep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow put deep learning within reach for all R users, even if they have no experience with advanced machine learning or neural networks. This book shows you how to get started on core DL tasks like computer vision, natural language processing, and more using R. what's inside Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation, neural style transfer, and image generation about the reader For readers with intermediate R skills. No previous experience with Keras, TensorFlow, or deep learning is required.

AI for Healthcare Robotics (Paperback): Eduard Fosch Villaronga, Hadassah Drukarch AI for Healthcare Robotics (Paperback)
Eduard Fosch Villaronga, Hadassah Drukarch
R699 Discovery Miles 6 990 Ships in 9 - 15 working days

Provides for the first time a comprehensive, state-of-the-art overview of the different types of healthcare robots and the advances that AI brings them. Provides, in an easy and accessible way, essential basic information about the autonomy levels of surgery robots, which is novel. As such, could be very valuable to a broad community that ranges from legal scholars, ethicists, developers, policymakers, students, or non-specialists curious about the topic.

Secure Data Science - Integrating Cyber Security and Data Science (Hardcover): Murat Kantarcioglu, Latifur Khan, Bhavani... Secure Data Science - Integrating Cyber Security and Data Science (Hardcover)
Murat Kantarcioglu, Latifur Khan, Bhavani Thuraisingham
R3,445 Discovery Miles 34 450 Ships in 9 - 15 working days

Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area-including healthcare, finance, manufacturing, and marketing-could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science.

The Statistical Physics of Data Assimilation and Machine Learning (Hardcover, New Ed): Henry D. I. Abarbanel The Statistical Physics of Data Assimilation and Machine Learning (Hardcover, New Ed)
Henry D. I. Abarbanel
R1,771 R1,644 Discovery Miles 16 440 Save R127 (7%) Ships in 12 - 17 working days

Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine learning and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and machine learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.

Compressive Imaging: Structure, Sampling, Learning (Hardcover): Ben Adcock, Anders C. Hansen Compressive Imaging: Structure, Sampling, Learning (Hardcover)
Ben Adcock, Anders C. Hansen
R1,986 R1,848 Discovery Miles 18 480 Save R138 (7%) Ships in 12 - 17 working days

Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, image reconstruction has been revolutionized by the rise of compressive imaging. It has fundamentally changed the way modern image reconstruction is performed. This in-depth treatment of the subject commences with a practical introduction to compressive imaging, supplemented with examples and downloadable code, intended for readers without extensive background in the subject. Next, it introduces core topics in compressive imaging - including compressed sensing, wavelets and optimization - in a concise yet rigorous way, before providing a detailed treatment of the mathematics of compressive imaging. The final part is devoted to recent trends in compressive imaging: deep learning and neural networks. With an eye to the next decade of imaging research, and using both empirical and mathematical insights, it examines the potential benefits and the pitfalls of these latest approaches.

Applied Artificial Intelligence - A Biomedical Perspective (Hardcover): Swati V. Shinde, Varsha Bendre, D. Jude Hemanth, MA... Applied Artificial Intelligence - A Biomedical Perspective (Hardcover)
Swati V. Shinde, Varsha Bendre, D. Jude Hemanth, MA Balafar
R3,185 Discovery Miles 31 850 Ships in 12 - 17 working days

Reviews different machine learning and deep learning techniques with a biomedical perspective Provides the relevant case studies that demonstrate applicability of different AI techniques Explain different kinds of inputs like various image modalities, biomedical signals types, etc. Covers the latest trends of AI-based biomedical domains including IoT, drug discovery, biomechanics, robotics, electronic health records, etc. Discusses the research challenges and opportunities in AI and biomedical domain

Cognitive and Neural Modelling for Visual Information Representation and Memorization (Hardcover): Limiao Deng Cognitive and Neural Modelling for Visual Information Representation and Memorization (Hardcover)
Limiao Deng
R2,352 Discovery Miles 23 520 Ships in 9 - 15 working days

Focusing on how visual information is represented, stored and extracted in the human brain, this book uses cognitive neural modeling in order to show how visual information is represented and memorized in the brain. Breaking through traditional visual information processing methods, the author combines our understanding of perception and memory from the human brain with computer vision technology, and provides a new approach for image recognition and classification. While biological visual cognition models and human brain memory models are established, applications such as pest recognition and carrot detection are also involved in this book. Given the range of topics covered, this book is a valuable resource for students, researchers and practitioners interested in the rapidly evolving field of neurocomputing, computer vision and machine learning.

Transformers for Machine Learning - A Deep Dive (Paperback): Uday Kamath, Kenneth Graham, Wael Emara Transformers for Machine Learning - A Deep Dive (Paperback)
Uday Kamath, Kenneth Graham, Wael Emara
R1,385 Discovery Miles 13 850 Ships in 9 - 15 working days

A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers. 60+ transformer architectures covered in a comprehensive manner. A book for understanding how to apply the transformer techniques in speech, text, time series, and computer vision. Practical tips and tricks for each architecture and how to use it in the real world. Hands-on case studies and code snippets for theory and practical real-world analysis using the tools and libraries, all ready to run in Google Colab.

Artificial Intelligence - A Guide for Thinking Humans (Paperback): Melanie Mitchell Artificial Intelligence - A Guide for Thinking Humans (Paperback)
Melanie Mitchell
R336 R274 Discovery Miles 2 740 Save R62 (18%) Ships in 9 - 15 working days

'If you think you understand AI and all of the related issues, you don't. By the time you finish this exceptionally lucid and riveting book you will breathe more easily and wisely' - Michael Gazzaniga A leading computer scientist brings human sense to the AI bubble No recent scientific enterprise has been so alluring, terrifying and filled with extravagant promise and frustrating setbacks as artificial intelligence. Writing with clarity and passion, leading AI researcher Melanie Mitchell offers a captivating account of modern-day artificial intelligence. Flavoured with personal stories and a twist of humour, Artificial Intelligence illuminates the workings of machines that mimic human learning, perception, language, creativity and common sense. Weaving together advances in AI with cognitive science and philosophy, Mitchell probes the extent to which today's 'smart' machines can actually think or understand, and whether AI even requires such elusive human qualities at all. Artificial Intelligence: A Guide for Thinking Humans provides readers with an accessible and clear-eyed view of the AI landscape, what the field has actually accomplished, how much further it has to go and what it means for all of our futures.

AI by Design - A Plan for Living with Artificial Intelligence (Paperback): Catriona Campbell AI by Design - A Plan for Living with Artificial Intelligence (Paperback)
Catriona Campbell
R792 Discovery Miles 7 920 Ships in 9 - 15 working days

- the author is in the BIMA Hall of Fame and is Chief Technology & Innovation Officer at Ernst & Young - the book explains the current state of AI and how it is governed, as well as detailing five potential futures involving AI and providing a clear Roadmap to manage the future of AI - easy and fun to read

Sociorobot World - A Guided Tour for All (Hardcover, 1st ed. 2016): Spyros Tzafestas Sociorobot World - A Guided Tour for All (Hardcover, 1st ed. 2016)
Spyros Tzafestas
R4,430 R3,625 Discovery Miles 36 250 Save R805 (18%) Ships in 12 - 17 working days

This book makes a consolidated guided tour to the world of sociorobots (social or socialized robots). Sociorobots and assistive robots provide entertainment, assistance to the handicapped, companionship to the elderly and health care to autistic children and people with dementia. The book provides, in a fluent educational way, all major concepts, architectures and design methodologies. All types of sociorobots are examined, namely walking anthropomorphic, wheeled anthropomorphic, fixed-place anthropomorphic and zoomorphic sociorobots. The book provides an outline of sociorobot intelligent control architectures, robot learning and human robot interaction.

Artificial Intelligence in Information and Communication Technologies, Healthcare and Education - A Roadmap Ahead (Hardcover):... Artificial Intelligence in Information and Communication Technologies, Healthcare and Education - A Roadmap Ahead (Hardcover)
Parikshit N. Mahalle, Rajendra S Talware, Ganesh C Patil, Sachin R Sakhare, Yogesh H. Dandawate, …
R2,696 Discovery Miles 26 960 Ships in 9 - 15 working days

Artificial Intelligence in Information and Communication Technologies, Healthcare and Education: A Roadmap Ahead is designed as a reference text and discusses inter-dependability, communication and effective control for the betterment of services through artificial intelligence (AI), as well as the challenges and path ahead for AI in computing and control across different domains of business and human life. The book accommodates technologies and application domains including backbone hardware, systems and methods for deployment, which help incorporating intelligence through different supervised and probabilistic learning approaches. Features The book attempts to establish a connection between hardware, software technologies and algorithmic intelligence for data analysis and decision support in domains such as healthcare, education and other aspects of business and mobility. It presents various recent applications of artificial intelligence in information and communication technologies such as search and optimization methods, machine learning, data representation and ontologies, and multi-agent systems. The book provides a collection of different case studies with experimentation results than mere theoretical and generalized approaches. Covers most of the applications using the trending technologies like machine learning (ML), data science (DS), Internet of Things (IoT), and underlying information and communication technologies. The book is aimed primarily at advanced undergraduates and postgraduate students studying computer science, computer applications, and information technology. Researchers and professionals will also find this book useful.

Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems (Hardcover): Deepshikha Agarwal, Khushboo... Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems (Hardcover)
Deepshikha Agarwal, Khushboo Tripathi, Kumar Krishen
R3,638 Discovery Miles 36 380 Ships in 12 - 17 working days

This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector. Features: Focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects Presents the application of artificial intelligence in medical imaging, fractionalization of early lung tumour detection using a low intricacy approach, etc Discusses an artificial intelligence perspective on wearable technology Analyses cardiac dynamics and assessment of arrhythmia by classifying heartbeat using electrocardiogram (ECG) Elaborates machine learning models for early diagnosis of depressive mental affliction This book serves as a reference for students and researchers analyzing healthcare data. It can also be used by graduate and post graduate students as an elective course.

Mind, Cognition, and Neuroscience - A Philosophical Introduction (Paperback): Benjamin D Young, Carolyn Dicey Jennings Mind, Cognition, and Neuroscience - A Philosophical Introduction (Paperback)
Benjamin D Young, Carolyn Dicey Jennings
R1,277 Discovery Miles 12 770 Ships in 12 - 17 working days

This carefully designed, multi-authored textbook covers a broad range of theoretical issues in cognitive science, psychology, and neuroscience. With accessible language, a uniform structure, and many pedagogical features, Mind, Cognition, and Neuroscience: A Philosophical Introdution is the best high-level overview of this area for an interdisciplinary readership of students. Written specifically for this volume by experts in their fields who are also experienced teachers, the book's thirty chapters are organized into the following parts: I. Background Knowledge II. Classical Debates III. Consciousness IV. Crossing Boundaries Each chapter starts with relevant key words and definitions and a chapter overview, then presents historical coverage of the topic, explains and analyzes contemporary debates, and ends with a sketch of cutting edge research. A list of suggested readings and helpful discussion topics conclude each chapter. This uniform, student-friendly design makes it possible to teach a cohort of both philosophy and interdisciplinary students without assuming prior understanding of philosophical concepts, cognitive science, or neuroscience. Key Features: Synthesizes the now decades-long explosion of scientifically informed philosophical research in the study of mind. Expands on the offerings of other textbooks by including chapters on language, concepts and non-conceptual content, and animal cognition. Offers the same structure in each chapter, moving the reader through an overview, historical coverage, contemporary debates, and finally cutting-edge research. Packed with pedagogical features, like defined Key Terms, Suggested Readings, and Discussion Questions for each chapter, as well as a General Glossary. Provides readers with clear, chapter-long introductions to Cognitive Neuroscience, Molecular and Cellular Cognition, Experimental Methods in Cognitive Neuroscience, Philosophy of Mind, Philosophy of Science, Metaphysical Issues, and Epistemic Issues.

Digital Signifiers in an Architecture of Information - From Big Data, Simulation to Artificial Intelligence (Paperback): Pablo ... Digital Signifiers in an Architecture of Information - From Big Data, Simulation to Artificial Intelligence (Paperback)
Pablo Lorenzo-Eiroa
R1,159 Discovery Miles 11 590 Ships in 9 - 15 working days

This book proposes a new critical relationship between computation and architecture, developing a history and theory of representation in architecture to understand and unleash potential means to open up creativity in the field. Historically, architecture has led spatial representation. Today, computation has established new representational paradigms that can be compared to spatial representations, such as the revolution of perspective in the Renaissance. Architects now use software, robotics, and fabrication tools with very little understanding and participation in how these tools influence, revolutionize, and determine both architecture and its construction today. Why does the discipline of architecture not have a higher degree of authorship in the conception and development of computational technologies that define spatial representation? This book critically explores the relationship between history, theory and cultural criticism. Lorenzo-Eiroa positions new understandings through parallel historical sections and theories of many revolutionary representational architecture canons displaced by conventional spatial projection. He identifies the architects, artists, mathematicians, and philosophers that were able to revolutionise their disciplines through the development of new technologies, new systems of representation, and new lenses to understand reality. This book frames the discussion by addressing new means to understand and expand architecture authorship in relation to survey, information, representation, higher dimensional space, Big Data, and Artificial Intelligence - in the pursuit of activating an architecture of information. This will be important reading for upper-level students and researchers of architecture and architectural theory, especially those with a keen interest in computational design and robotic fabrication.

A First Course in Fuzzy Logic (Paperback, 4th edition): Hung T. Nguyen, Carol Walker, Elbert A. Walker A First Course in Fuzzy Logic (Paperback, 4th edition)
Hung T. Nguyen, Carol Walker, Elbert A. Walker
R1,390 Discovery Miles 13 900 Ships in 9 - 15 working days

A First Course in Fuzzy Logic, Fourth Edition is an expanded version of the successful third edition. It provides a comprehensive introduction to the theory and applications of fuzzy logic. This popular text offers a firm mathematical basis for the calculus of fuzzy concepts necessary for designing intelligent systems and a solid background for readers to pursue further studies and real-world applications. New in the Fourth Edition: Features new results on fuzzy sets of type-2 Provides more information on copulas for modeling dependence structures Includes quantum probability for uncertainty modeling in social sciences, especially in economics With its comprehensive updates, this new edition presents all the background necessary for students, instructors and professionals to begin using fuzzy logic in its many-applications in computer science, mathematics, statistics, and engineering. About the Authors: Hung T. Nguyen is a Professor Emeritus at the Department of Mathematical Sciences, New Mexico State University. He is also an Adjunct Professor of Economics at Chiang Mai University, Thailand. Carol L. Walker is also a Professor Emeritus at the Department of Mathematical Sciences, New Mexico State University. Elbert A. Walker is a Professor Emeritus, Department of Mathematical Sciences, New Mexico State University.

Advances in Computing and Information Technology - First International Conference, ACITY 2011, Chennai, India, July 15-17,... Advances in Computing and Information Technology - First International Conference, ACITY 2011, Chennai, India, July 15-17, 2011, Proceedings (Paperback, Edition.)
David C. Wyld, Michal Wozniak, Nabendu Chaki, Natarajan Meghanathan, Dhinaharan Nagamalai
R2,968 Discovery Miles 29 680 Ships in 10 - 15 working days

This book constitutes the proceedings of the First International Conference on Advances in Computing and Information Technology, ACITY 2011, held in Chennai, India, in July 2011. The 55 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers feature significant contributions to all major fields of the Computer Science and Information Technology in theoretical and practical aspects.

Probabilistic Numerics - Computation as Machine Learning (Hardcover): Philipp Hennig, Michael A. Osborne, Hans P. Kersting Probabilistic Numerics - Computation as Machine Learning (Hardcover)
Philipp Hennig, Michael A. Osborne, Hans P. Kersting
R1,821 R1,693 Discovery Miles 16 930 Save R128 (7%) Ships in 12 - 17 working days

Probabilistic numerical computation formalises the connection between machine learning and applied mathematics. Numerical algorithms approximate intractable quantities from computable ones. They estimate integrals from evaluations of the integrand, or the path of a dynamical system described by differential equations from evaluations of the vector field. In other words, they infer a latent quantity from data. This book shows that it is thus formally possible to think of computational routines as learning machines, and to use the notion of Bayesian inference to build more flexible, efficient, or customised algorithms for computation. The text caters for Masters' and PhD students, as well as postgraduate researchers in artificial intelligence, computer science, statistics, and applied mathematics. Extensive background material is provided along with a wealth of figures, worked examples, and exercises (with solutions) to develop intuition.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Data Ethics of Power - A Human Approach…
Gry Hasselbalch Paperback R934 Discovery Miles 9 340
Hallo Robot - Meet Your New Workmate and…
Bennie Mols, Nieske Vergunst Paperback  (1)
R434 R311 Discovery Miles 3 110
All-in On AI - How Smart Companies Win…
Thomas H Davenport, Nitin Mittal Hardcover R653 Discovery Miles 6 530
AI 2041 - Ten Visions for Our Future
Kai-Fu Lee, Chen Qiufan Hardcover R883 R684 Discovery Miles 6 840
Handbook of Data Science with Semantic…
Archana Patel, Narayan C Debnath Hardcover R7,746 Discovery Miles 77 460
Happimetrics - Leveraging AI to Untangle…
Peter A. Gloor Hardcover R2,692 Discovery Miles 26 920
Data-Driven Science and Engineering…
Steven L. Brunton, J. Nathan Kutz Hardcover R1,687 R1,593 Discovery Miles 15 930
Advanced Introduction to Artificial…
Tom Davenport, John Glaser, … Paperback R599 Discovery Miles 5 990
An Introduction to Statistical Learning…
Gareth James, Daniela Witten, … Hardcover R2,092 R1,850 Discovery Miles 18 500
Managing AI Wisely - From Development to…
Lauren Waardenburg, Marleen Huysman, … Hardcover R2,369 Discovery Miles 23 690

 

Partners