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.

Название: Graph Representation Learning
Автор: William L. Hamilton
Издательство: Morgan & Claypool
Серия: Synthesis Lectures on Artificial Intelligence and Machine Learning
Год: 2020
Страниц: 161
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into Deep Learning (DL) architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. Machine Learning (ML) is inherently a problem-driven discipline. We seek to build models that can learn from data in order to solve particular tasks, and Machine Learning models are often categorized according to the type of task they seek to solve.

Название: The Agile Guide to Business Analysis and Planning: From Strategic Plan to Continuous Value Delivery
Автор: Howard Podeswa
Издательство: Pearson Education/ Addison-Wesley Professional
Год: 2021
Страниц: 800
Язык: английский
Формат: epub
Размер: 19.7 MB

The Agile Guide to Business Analysis and Planning presents clear, actionable guidance for every product owner, product and program manager, business analyst, requirements engineer, and project manager seeking to improve agile analysis and planning. Renowned author and consultant Howard Podeswa teaches best practices drawn from agile and agile-adjacent frameworks, including ATDD, BDD, DevOps, CI/CD, Kanban, Scrum, SAFe, XP, Lean Thinking, Lean Startup, Circumstance-Based Market Segmentation, and theories of disruptive innovation. He offers a comprehensive agile roadmap for analyzing customer needs and planning product development, including discussion of legacy business analysis tools that still offer immense value to agile teams.

Название: Oracle Database 21c
Автор: Oracle and/or its affiliates
Издательство: Oracle Corporation
Год: 2020-2021
Формат: True PDFs
Размер: 208.9 Mb
Язык: English

Oracle documentation.

Название: Serverless Handbook: for frontend engineers. Dive into modern backend. Understand any backend
Автор: Swizec Teller
Издательство: swizec.com
Год: 2021
Страниц: 301
Язык: английский
Формат: pdf, epub
Размер: 17.6 MB

Learn everything you need to dive into modern backend. Understand any backend. How do you dive into modern serverless backend? You pick a project and start Googling! You'll find hundreds of resources. By experts for experts. All assuming you're a seasoned backend engineer with decades of experience. They're full of weird terms, strange concepts, and new references. Soon you'll find yourself reading obscure comments on GitHub issues and StackOverflow trying to glue it all together. You're learning lots of little details, but how does it all fit together? The whole time I wished there was a clear book for backend beginners. Someone who's good with jаvascript, knows the basic concepts of backend, and wants to truly understand the mindset and tactics of modern backend development.