Название: Artificial Intelligence (AI): Recent Trends and Applications
Автор: S. Kanimozhi Suguna, M. Dhivya, Sara Paiva
Издательство: CRC Press
Серия: Artificial Intelligence (AI): Elementary to Advanced Practices
Год: 2021
Страниц: 331
Язык: английский
Формат: pdf (true)
Размер: 26.6 MB

This book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Artificial Intelligence. The book provides a premier interdisciplinary platform to present practical challenges and adopted solutions. The book addresses the complete functional framework workflow in Artificial Intelligence technology. It explores the basic and high-level concepts and can serve as a manual for the industry for beginners and the more advanced. It covers intelligent and automated systems and its implications to the real-world, and offers data acquisition and case studies related to data-intensive technologies in AI-based applications.

Название: Deep Learning for Biomedical Applications
Автор: Utku Kose, Omer Deperlioglu
Издательство: CRC Press
Год: 2021
Страниц: 365
Язык: английский
Формат: pdf (true)
Размер: 21.77 MB

This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential, and　advanced topics. The book offers detailed information on the application of Deep Learning for solving biomedical problems. It focuses on different types of data (i.e. raw data, signal-time series, medical images) to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis,　image processing perspectives, and even　genomics. It takes the reader through different sides of Deep Learning oriented solutions.

Название: Blockchain And Smart Contracts: Design Thinking And Programming For Fintech
Автор: Swee Won Lo, Yu Wang, David Lee Kuo Chuen
Издательство: World Scientific
Год: 2021
Страниц: 381
Язык: английский
Формат: pdf (true)
Размер: 45.9 MB

Innovative as it is, the blockchain technology is getting more and more attention and an increasing number of applications have emerged. This book elaborates on both the design thinking ideas and technical details in blockchain and smart contracts to help readers delve into the conceptual framework and understand why blockchain is designed as such and how it makes the current system decentralised yet effective. Having this understanding lays the ground for further analysis of blockchain-based solutions and innovative fintech applications. Topics covered in this book include blockchain structure, blockchain ecosystem, design thinking for blockchain, smart contract, fintech and financial services, solution-based problem solving, fintech valuation, and current issues faced such as privacy protection and solution selection, with the aid of real-life examples and hands-on exercises.

Название: Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Автор: Annamalai Suresh, R. Udendhran, S. Vimal
Издательство: IGI Global
Год: 2020
Страниц: 310
Язык: английский
Формат: pdf (true)
Размер: 11.8 MB

The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging.

Название: Mathematica для нематематика
Автор: Вавилов Н.А., Халин В.Г., Юрков А.В.
Издательство: МЦНМО
Год: 2021
Страниц: 483
Язык: русский
Формат: pdf (true)
Размер: 10.3 MB

Настоящий учебник посвящен системе Mathematica - прикладному пакету компьютерной алгебры, при помощи которого можно решать любые задачи, в которых в той или иной форме встречается математика. Учебник возник из желания соавторов материализовать разделяемое ими убеждение, что нельзя учить математике, натаскивая на рутинных операциях, которые студенты в своей будущей жизни никогда не применят. Современные математические пакеты — а Mathematica среди них безусловно выдающийся — лучше многих решат уравнения и выполнят вычисления (в умелых руках). Компьютерная алгебра является одной из самых мифологизированных областей. Не только большинство пользователей, но и многие профессиональные математики и программисты не имеют представления о реальной силе, возможностях и специфике имеющихся систем, не говоря уже о ближайших перспективах этой области.

Название: A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R
Автор: Alese Wooditch, Nicole J. Johnson, Reka Solymosi, Juanjo Medina Ariza, Samuel Langton
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 341
Размер: 24 Mb
Язык: English

This book provides hands-on guidance for researchers and practitioners in criminal justice and criminology to perform statistical analyses and data visualization in the free and open-source software R. It offers a step-by-step guide for beginners to become familiar with the RStudio platform and tidyverse set of packages.

Название: Systems Analysis and Design (MindTap Course List), 12th Edition
Автор: Scott Tilley
Издательство: Cengage Learning
Год: 2020
Формат: True PDF
Страниц: 514
Размер: 29 Mb
Язык: English

Discover a practical, streamlined approach to information systems development that focuses on the latest developments with Tilley's SYSTEMS ANALYSIS AND DESIGN, 12E and MindTap digital resources. Real examples clearly demonstrate both traditional and emerging approaches to systems analysis and design, including object-oriented and agile methods. You also study cloud computing and mobile applications as this edition presents an easy-to-follow approach to systems analysis and design. Meaningful projects, insightful assignments and both online and printed exercises emphasize the critical thinking and IT skills that are most important in today's dynamic, business-related environment. New MindTap ConceptClip videos and a new online continuing case further demonstrate concepts for success in today's competitive and rapidly changing business world

Название: Integrating D3.js with React: Learn to Bring Data Visualization to Life
Автор: by Elad Elrom
Издательство: Apress
Год: 2021
Формат: PDF, ePUB
Страниц: 373
Размер: 11 Mb
Язык: English

Integrate D3.js into a React TypeScript project and create a chart component working in harmony with React. This book will show you how utilize D3 with React to bring life to your charts. Seasoned author Elad Elrom will show you how to create simple charts such as line, bar, donut, scatter, histogram and others, and advanced charts such as a world map and force charts. You'll also learn to share the data across your components and charts using React Recoil state management. Then integrate third-party chart libraries that are built on D3 such as Rechart, Visx, Nivo, React-vi, and Victory and in the end deploy your chart as a server or serverless app on popular platforms.

Название: Blockchain Intelligence: Methods, Applications and Challenges
Автор: Zibin Zheng, Hong-Ning Dai
Издательство: Springer
Год: 2021
Страниц: 170
Язык: английский
Формат: pdf (true), epub
Размер: 23.0 MB

This book focuses on using Artificial Intelligence (AI) to improve blockchain ecosystems. Gathering the latest advances resulting from AI in blockchain data analytics, it also presents big data research on blockchain systems. Despite blockchain's merits of decentralisation, immutability, non-repudiation and traceability, the development of blockchain technology has faced a number of challenges, such as the difficulty of data analytics on encrypted blockchain data, poor scalability, software vulnerabilities, and the scarcity of appropriate incentive mechanisms. Combining AI with blockchain has the potential to overcome the limitations, and machine learning-based approaches may help to analyse blockchain data and to identify misbehaviours in blockchain. In addition, deep reinforcement learning methods can be used to improve the reliability of blockchain systems.

Название: Machine Learning in Asset Pricing
Автор: Stefan Nagel
Издательство: Princeton University Press
Год: 2021
Страниц: 157
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

A groundbreaking, authoritative introduction to how Machine Learning (ML) can be applied to asset pricing. Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of Machine Learning are well-suited for solving prediction problems. Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing. In this book, Stefan Nagel examines the promises and challenges of ML applications in asset pricing.