Название: Knowledge Graphs: Fundamentals, Techniques, and Applications (Adaptive Computation and Machine Learning series)
Автор: Mayank Kejriwal, Craig A. Knoblock, Pedro Szekely
Издательство: The MIT Press
Год: 2021
Формат: epub
Страниц: 568
Размер: 27.4 Mb
Язык: English

A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence.
The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19.

Название: Pyomo - Optimization Modeling in Python, 3rd Edition
Автор: Michael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, Jean-Paul Watson, David L. Woodruff
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 242
Размер: 13 Mb
Язык: English

This book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. Using many examples to illustrate the different techniques useful for formulating models, this text beautifully elucidates the breadth of modeling capabilities that are supported by Pyomo and its handling of complex real-world applications. In the third edition, much of the material has been reorganized, new examples have been added, and a new chapter has been added describing how modelers can improve the performance of their models. The authors have also modified their recommended method for importing Pyomo. A big change in this edition is the emphasis of concrete models, which provide fewer restrictions on the specification and use of Pyomo models.

Название: Thinking Machines: Machine Learning and Its Hardware Implementation
Автор: Shigeyuki Takano
Издательство: Academic Press
Год: 2021
Формат: PDF
Страниц: 324
Размер: 16 Mb
Язык: English

Thinking Machines: Machine Learning and Its Hardware Implementation covers the theory and application of machine learning, neuromorphic computing and neural networks. This is the first book that focuses on machine learning accelerators and hardware development for machine learning. It presents not only a summary of the latest trends and examples of machine learning hardware and basic knowledge of machine learning in general, but also the main issues involved in its implementation. Readers will learn what is required for the design of machine learning hardware for neuromorphic computing and/or neural networks.

Название: Машинное обучение на R: экспертные техники для прогностического анализа
Автор: Бретт Ланц
Язык: русский
Издательство: Питер
Год: 2020
Страниц: 464
Формат: pdf
Размер: 19,3 Мб

Язык R предлагает мощный набор методов машинного обучения, позволяющих быстро проводить нетривиальный анализ ваших данных. Книга является руководством, которое поможет применять методы машинного обучения в решении ежедневных задач. Бретт Ланц научит всему необходимому для анализа данных, формирования прогнозов и визуализации данных. Здесь вы найдете информацию о новых улучшенных библиотеках, советы об этических аспектах машинного обучения и проблемах предвзятости, а также познакомитесь с глубоким обучением.

Название: Simulink 3D Animation User's Guide (R2021a)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: 2021
Страниц: 452
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Visualize dynamic system behavior in a virtual reality environment. Simulink® 3D Animation links Simulink models and MATLAB algorithms to 3D graphics objects in virtual reality scenes. You can animate a virtual world by changing position, rotation, scale, and other object properties during desktop or real-time simulation. You can also sense collisions and other events in the virtual world and feed them back into your MATLAB and Simulink algorithms. Video from virtual cameras can be streamed to Simulink for processing.

Название: Структуры данных и проектирование программ
Автор: Круз Р.Л.
Издательство: Лаборатория знаний
Год: 2017 - 3-е изд.
Cтраниц: 768
Формат: pdf (ocr)
Размер: 22 мб
Язык: русский

В качестве фундаментальных средств разработки программ рассматриваются такие вопросы, как структурное решение задач, абстракция данных, принципы программной инженерии и сравнительный анализ алгоритмов. Дано полное освещение большинства модулей знаний, касающихся структур данных и алгоритмов. Большая часть глав начинается основной темой и сопровождается примерами, приложениями и практическими исследованиями. Это учебное пособие дает основательные знания, которые позволяют студентам по ходу своей дальнейшей работы использовать ее также в качестве справочного пособия.

Название: Python for MBAs
Автор: Mattan Griffel, Daniel Guetta
Издательство: Columbia University Press
Год: 2021
Формат: True PDF
Страниц: 368
Размер: 12 Mb
Язык: English

From the ads that track us to the maps that guide us, the twenty-first century runs on code. The business world is no different. Programming has become one of the fastest-growing topics at business schools around the world. An increasing number of MBAs are choosing to pursue careers in tech. For them and other professionals, having some basic coding knowledge is a must.

Название: Recognition and Perception of Images: Fundamentals and Applications
Автор: Scrivener Publishing LLC
Издательство:
Год: 2021
Формат: True PDF
Страниц: 474
Размер: 95.9 Mb
Язык: English

This book is dedicated to the unique interdisciplinary research of imagery processing, recognition and perception. The contents of this book are based on the concepts of mathematical processing, compositional analysis applied in the art and design, and psychological factors of the information perception process.
The conduction of compositional analysis carried out in the course of images processing and recognition, creation of the image project solution and modeling of the conceptual space structures are considered together with the mechanism of their perception.

Название: Machine Reading Comprehension: Algorithms and Practice
Автор: Chenguang Zhu
Издательство: Elsevier Inc
Год: 2021
Формат: true pdf/epub/azw3
Страниц: 272
Размер: 12.6 Mb
Язык: English

Machine reading comprehension (MRC) is a cutting-edge technology in natural language processing (NLP). MRC has recently advanced significantly, surpassing human parity in several public datasets. It has also been widely deployed by industry in search engine and quality assurance systems. Machine Reading Comprehension: Algorithms and Practice performs a deep-dive into MRC, offering a resource on the complex tasks this technology involves. The title presents the fundamentals of NLP and deep learning, before introducing the task, models, and applications of MRC. This volume gives theoretical treatment to solutions and gives detailed analysis of code, and considers applications in real-world industry. The book includes basic concepts, tasks, datasets, NLP tools, deep learning models and architecture, and insight from hands-on experience. In addition, the title presents the latest advances from the past two years of research. Structured into three sections and eight chapters, this book presents the basis of MRC; MRC models; and hands-on issues in application. This book offers a comprehensive solution for researchers in industry and academia who are looking to understand and deploy machine reading comprehension within natural language processing.
Presents the first comprehensive resource on machine reading comprehension (MRC)
Performs a deep-dive into MRC, from fundamentals to latest developments
Offers the latest thinking and research in the field of MRC, including the BERT model
Provides theoretical discussion, code analysis, and real-world applications of MRC
Gives insight from research which has led to surpassing human parity in MRC

Название: The Blockchain Technology for Secure and Smart Applications across Industry Verticals (Advances in Computers, Volume 121)
Автор: Neeraj Kumar (Editor), Shubhani Aggarwal (Editor), Pethuru Raj (Editor)
Издательство: Elsevier Inc
Год: 2021
Формат: True PDF
Страниц: 517
Размер: 54 Mb
Язык: English

The Blockchain Technology for Secure and Smart Applications across Industry Verticals, Volume 121, presents the latest information on a type of distributed ledger used for maintaining a permanent and tamper-proof record of transactional data. The book presents a novel compendium of existing and budding Blockchain technologies for various smart applications.