Enterprise Business Intelligence and Artificial Intelligence, Bulusu, Lakshman , Abellera, Rosendo

Название: Enterprise 2 Coursebook
ISBN: 1842161059 ISBN-13(EAN): 9781842161050
Издательство: Express Publishing
Цена: 10370.00 T
Наличие на складе: Есть
Описание: This is part of the series Enterprise. It's an elementary level 2 softcover book.

Название: Enterprise 1 Workbook
ISBN: 1842160915 ISBN-13(EAN): 9781842160916
Издательство: Express Publishing
Цена: 5330.00 T
Наличие на складе: Есть
Описание: Enterprise 1 Beginner is the first in a four-level series of English coursebooks. It is specially designed to motivate and involve students in effective learning. The course provides systematic preparation for all the skills required for successful communication both in written and spoken form.

Название: Enterprise 1 Coursebook
ISBN: 1842160893 ISBN-13(EAN): 9781842160893
Издательство: Express Publishing
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Цена: 9620.00 T
Наличие на складе: Есть
Описание: This is the fourth of a four-level English course. It consist of four modules and is specially designed to motivate and involve students in effective lesrning. The course provides systematic preparation for all the skills required for successful communication both in written and spoken form. Enterprise 1 Beginner is the first in a four-level series of English coursebook. It is specialy designed to motivate and involve students in effective learning. The course provides systematic preparation for all the skills required for successful communication in both written and spoken form.

Автор: Arnold Dave
Название: Liquid Intelligence: The Art and Science of the Perfect Cocktail
ISBN: 0393089037 ISBN-13(EAN): 9780393089035
Издательство: Wiley
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Цена: 40040.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A revolutionary approach to making better-looking, better-tasting drinks.

Автор: Herrnstein, Richard J. Murray, Charles
Название: Bell Curve: Intelligence and Class Structure in American Life
ISBN: 0684824299 ISBN-13(EAN): 9780684824291
Издательство: Simon&Schuster UK
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Цена: 18690.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This work offers a perspective on the causes of the social and economic problems that plague contemporary America. It examines the relationship between ethnicity and intelligence and presents the view that America`s population is becoming polarized between an educated elite and uneducated poor.

Автор: Millington, Ian, Funge, John
Название: Artificial Intelligence for Games
ISBN: 0123747317 ISBN-13(EAN): 9780123747310
Издательство: Taylor&Francis
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Цена: 72470.00 T
Наличие на складе: Нет в наличии.
Описание: Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques.<br><br>"Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games). <br><br>* The first comprehensive, professional tutorial and reference to implement true AI in games written by an engineer with extensive industry experience.<br>* Walks through the entire development process from beginning to end.<br>* Includes examples from over 100 real games, 10 in-depth case studies, and web site with sample code.

Автор: Buduma Nikhil
Название: Fundamentals of Deep Learning: Designing Next-Generation Artificial Intelligence Algorithms
ISBN: 1491925612 ISBN-13(EAN): 9781491925614
Издательство: Wiley
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Цена: 36950.00 T
Наличие на складе: Невозможна поставка.
Описание: In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. If you`re familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started.

Автор: Soteris Kalogirou
Название: Artificial intelligence in energy and renewable energy systems
ISBN: 1600212611 ISBN-13(EAN): 9781600212611
Издательство: Nova Science
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Цена: 163580.00 T
Наличие на складе: Невозможна поставка.
Описание: Presents state of the art applications of artificial intelligence in energy and renewable energy systems design and modelling. This title covers such topics as solar energy, wind energy, biomass and hydrogen as well as building services systems, power generation systems, combustion processes and refrigeration.

Автор: Saifullah Khalid
Название: Applied computational intelligence and soft computing in engineering /
ISBN: 1522531297 ISBN-13(EAN): 9781522531296
Издательство: Turpin
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Цена: 252560.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Although computational intelligence and soft computing are both well-known fields, using computational intelligence and soft computing in conjunction is an emerging concept. This combination can effectively be used in practical areas of various fields of research. Applied Computational Intelligence and Soft Computing in Engineering is an essential reference work featuring the latest scholarly research on the concepts, paradigms, and algorithms of computational intelligence and its constituent methodologies such as evolutionary computation, neural networks, and fuzzy logic. Including coverage on a broad range of topics and perspectives such as cloud computing, sampling in optimization, and swarm intelligence, this publication is ideally designed for engineers, academicians, technology developers, researchers, and students seeking current research on the benefits of applying computation intelligence techniques to engineering and technology.

Автор: Li, Fanzhang / Zhang, Li / Zhang, Zhao
Название: Dynamic Fuzzy Machine Learning
ISBN: 3110518708 ISBN-13(EAN): 9783110518702
Издательство: Walter de Gruyter
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Цена: 149590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors carried out more than 20 years of research, and show in this book their most important results. The seven chapters of the book are devoted to key topics such as dynamic fuzzy machine learning models, dynamic fuzzy self-learning subspace algorithms, fuzzy decision tree learning, dynamic concepts based on dynamic fuzzy sets, semi-supervised multi-task learning based on dynamic fuzzy data, dynamic fuzzy hierarchy learning, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, data analysis, mathematics, management, cognitive science, and finance. It can be also used as the basis for teaching the principles of dynamic fuzzy learning.

Автор: Haq Rashed
Название: Enterprise Artificial Intelligence Transformation
ISBN: 1119665930 ISBN-13(EAN): 9781119665939
Издательство: Wiley
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Цена: 32730.00 T
Наличие на складе: Поставка под заказ.
Описание: Raised on the south side of Chicago, Jonathan Brooks moved as far away as possible as soon as he could. But through unforeseen events he found himself not only back in Englewood but also serving as a pastor and community leader. In this book he challenges Christians to be fully present in their communities, helping local churches rediscover that loving our neighbors means loving our neighborhoods.

Автор: Walter J. Scheirer
Название: Extreme Value Theory-Based Methods for Visual Recognition
ISBN: 1627057005 ISBN-13(EAN): 9781627057004
Издательство: Turpin
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Цена: 68930.00 T
Наличие на складе: Невозможна поставка.
Описание: A common feature of many approaches to modeling sensory statistics is an emphasis on capturing the ""average."" From early representations in the brain, to highly abstracted class categories in machine learning for classification tasks, central-tendency models based on the Gaussian distribution are a seemingly natural and obvious choice for modeling sensory data. However, insights from neuroscience, psychology, and computer vision suggest an alternate strategy: preferentially focusing representational resources on the extremes of the distribution of sensory inputs. The notion of treating extrema near a decision boundary as features is not necessarily new, but a comprehensive statistical theory of recognition based on extrema is only now just emerging in the computer vision literature. This book begins by introducing the statistical Extreme Value Theory (EVT) for visual recognition. In contrast to central-tendency modeling, it is hypothesized that distributions near decision boundaries form a more powerful model for recognition tasks by focusing coding resources on data that are arguably the most diagnostic features. EVT has several important properties: strong statistical grounding, better modeling accuracy near decision boundaries than Gaussian modeling, the ability to model asymmetric decision boundaries, and accurate prediction of the probability of an event beyond our experience. The second part of the book uses the theory to describe a new class of machine learning algorithms for decision making that are a measurable advance beyond the state-of-the-art. This includes methods for post-recognition score analysis, information fusion, multi-attribute spaces, and calibration of supervised machine learning algorithms.