Artificial Intelligence

A wide-ranging history of the algorithm. Bringing together the histories of mathematics, computer science, and linguistic thought, Language and the Rise of the Algorithm reveals how recent developments in artificial intelligence are reopening an issue...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781848903388Author Sebastien KoniecznyFormat PaperbackPage Count 140Imprint College PublicationsPublisher College PublicationsWeight(grams)...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781784529680Author Lucia DoreFormat PaperbackPage Count 184Imprint Panoma PressPublisher Rethink PressWeight(grams) 184gDimensions(mm) 216mm * 140mm * 10mm

Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small...

Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated...

Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R librariesKey FeaturesImplement deep learning algorithms to build AI models with the help of tips and tricksUnderstand how deep...

This book provides comprehensive coverage on a new direction in computational mathematics research: automatic search for formulas. Formulas must be sought in all areas of science and life: these are the laws of the universe, the macro and micro world,...

This book presents a unified theory of random matrices for applications in machine learning, offering a large-dimensional data vision that exploits concentration and universality phenomena. This enables a precise understanding, and possible improvements,...

Gain a gentle introduction to the world of Artificial Intelligence (AI) using the Raspberry Pi as the computing platform. Most of the major AI topics will be explored, including expert systems, machine learning both shallow and deep, fuzzy logic control,...

Expand your OpenCV knowledge and master key concepts of machine learning using this practical, hands-on guide. About This Book * Load, store, edit, and visualize data using OpenCV and Python * Grasp the fundamental concepts of classification,...

Build neural network models theoretically using TensorFlow 2.0. with workable implementations. This new edition focuses on the practical aspects of implementing deep-learning solutions using the new deep learning framework TensorFlow 2.0 and in...

This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. This enhanced...

Write modern natural language processing applications using deep learning algorithms and TensorFlow About This Book * Focuses on more efficient natural language processing using TensorFlow * Covers NLP as a field in its own right to improve...

Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book provides a thorough...

When the Matrix trilogy was published in the mid-1980s, it introduced to mass culture a number of post-human tropes about the conscious machines that have haunted our collective imaginaries ever since. This volume explores the social representations and...

This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It serves as a one-stop resource for anyone interested in...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262047463Author Katharina A. ZweigFormat HardbackPage Count 272Imprint MIT PressPublisher MIT Press Ltd

This edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas. Predictive and AI technologies are growing in prominence...

Intelligent agents are employed as the central characters in this introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural...

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This book shares essential insights into how the social sciences and technology could foster new advances in managing the complexity inherent to the criminal and digital policing landscape. Said landscape is both dynamic and intricate, emanating as it...

This book explores justice in the age of artificial intelligence. It argues that current AI tools used in connection with liberty decisions are based on utilitarian frameworks of justice and inconsistent with individual fairness reflected in the US...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262546393Author Michael L. LittmanFormat PaperbackPage Count 232Imprint MIT PressPublisher MIT Press LtdWeight(grams) 278gDimensions(mm) 229mm * 154mm *...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781942878933Author Alexis GallagherFormat PaperbackPage Count 600Imprint Razeware LLCPublisher Razeware LLCWeight(grams) 1016gDimensions(mm) 235mm * 191mm *...

Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning, you will study...

This volume provides students, researchers and application developers with the knowledge and tools to get the most out of using neural networks and related data modelling techniques to solve pattern recognition problems. Each chapter covers a group of...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781634624480Author Laura MadsenFormat PaperbackPage Count 210Imprint Technics PublicationsPublisher Technics PublicationsWeight(grams) 286gDimensions(mm)...

Anxiety about non-human intelligent machines is a longstanding theme of cultural production and consumption. Examples range from tales of golems and Frankenstein's monster to the evil overlord scenarios of contemporary film and television franchises:...

Algorithms for Automating Open Source Intelligence (OSINT) presents information on the gathering of information and extraction of actionable intelligence from openly available sources, including news broadcasts, public repositories, and more recently,...

This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262043847Author Illah Reza NourbakhshFormat HardbackPage Count 160Imprint MIT PressPublisher MIT Press LtdDimensions(mm) 229mm * 178mm * 17mm

Human and Machine Hearing is the first book to comprehensively describe how human hearing works and how to build machines to analyze sounds in the same way that people do. Drawing on over thirty-five years of experience in analyzing hearing and building...

Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a...

This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the intersecting topics of information retrieval, machine learning, and natural language processing. Particular importance is...

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearnKey FeaturesBuild a variety of Hidden Markov Models (HMM)Create and apply models to any sequence of data to analyze, predict, and extract...

This textbook offers a comprehensive introduction to Machine Learning techniques and algorithms. This Third Edition covers newer approaches that have become highly topical, including deep learning, and auto-encoding, introductory information about...

Work on practical computer vision projects covering advanced object detector techniques and modern deep learning and machine learning algorithmsKey FeaturesLearn about the new features that help unlock the full potential of OpenCV 4Build face detection...

AI is poised to transform every aspect of healthcare, including the way we manage personal health from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases...

If you are interested in learning how to test web applications and the web part of mobile applications using Burp, then this is the book for you. It is specifically designed to meet your needs if you have basic experience in using Burp and are now aiming...

Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the...