Название: Designing Autonomous AI: A Guide for Machine Teaching (Third Early Release)
Автор: Kence Anderson
Издательство: O’Reilly Media, Inc.
Год: 2022-02-08
Страниц: 207
Язык: английский
Формат: epub
Размер: 30.5 MB

Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world.

Название: Объектно-ориентированный подход в логических моделях
Автор: Ульянов В.С.
Издательство: ИГУ
Год: 2014
ISBN: 978-5-9624-1176-7
Формат: pdf
Страниц: 83
Размер: 18,3 Мб
Язык: русский

Монография посвящена проблеме моделирования объектных структур данных в рамках дескриптивной логики. В работе исследуется построение информационных систем, ориентированных на создание баз данных и знаний, в которых эффективная обработка структур данных на уровне объектной модели сочетается с интеллектуальной обработкой знаний на логическом уровне.

Название: Zero To Mastery In .Net Framework - No.1 net Programming Book To Become Zero To Hero In net Development, This Amazing .net Framework Book Covers A-Z ...
Автор: Dr. Rajiv Kumar Jain
Издательство: Vayu Education Of India
Год: 2022
Страниц: 335
Язык: английский
Формат: pdf
Размер: 94.3 MB

The .NET Framework is the infrastructure for the new Microsoft .NET Platform. The .NET Framework is a common environment for building, deploying, and running Web Services and Web Applications. The .NET Framework contains common class libraries-like ADO.NET, ASP.NET and Windows Forms-to provide advanced standard services that can be integrated into a variety of computer systems. The .NET Framework is language neutral. Currently it supports C++, C#, Visual Basic, JScript (The Microsoft version of jаvascript) and COBOL. Third-party languages - like Eiffel, Perl, Python, Smalltalk, and others - will also be available for building future .NET Framework applications. The new Visual Studio.NET is a common development environment for the new .NET Framework. It provides a feature-rich application execution environment, simplified development and easy integration between a number of different development languages.

Название: Simulink Coverage User's Guide (R2021b)
Автор: The MathWorks, Inc.
Издательство: The MathWorks, Inc.
Год: 2021
Формат: PDF
Страниц: 348
Размер: 10 Mb
Язык: English

Simulink Coverage™ performs model and code coverage analysis that measures testing completeness in models and generated code. It applies industry-standard metrics such as decision, condition, modified condition/decision coverage (MCDC), and relational boundary coverage to assess the effectiveness of simulation testing in models, software-in-the-loop (SIL), and processor-in-the-loop (PIL). You can use missing coverage data to find gaps in testing, missing requirements, or unintended functionality.

Название: Computational Cryptography: Algorithmic Aspects of Cryptology
Автор: Joppe Bos, Martijn Stam
Издательство: Cambridge University Press
Год: 2021
Страниц: 402
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

The area of computational cryptography is dedicated to the development of effective methods in algorithmic number theory that improve implementation of cryptosystems or further their cryptanalysis. Computational cryptography has two sides: a potentially destructive side and a constructive one. The destructive side challenges the hardness assumptions underlying modern cryptographic systems by the development of suitable number-theoretic algorithms; the constructive side offers techniques and recommendations that help implement and deploy cryptosystems. Although the two sides are intricately intertwined, this book is divided into two parts accordingly. The first part is dedicated to cryptanalysis, whereas the second part focusses on the implementation aspects of computational cryptography.

Название: Machine Learning in Healthcare: Fundamentals and Recent Applications
Автор: Bikesh Kumar Singh, G.R. Sinha
Издательство: CRC Press
Год: 2022
Страниц: 253
Язык: английский
Формат: pdf (true)
Размер: 13.2 MB

Artificial intelligence (AI) and Machine Learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research.

Название: C# 10 in a Nutshell: The Definitive Reference (Final)
Автор: Joseph Albahari
Издательство: O’Reilly Media, Inc.
Год: 2022
Страниц: 1052
Язык: английский
Формат: epub
Размер: 10.2 MB

When you have questions about C# 10 or .NET 6, this best-selling guide has the answers you need. C# is a language of unusual flexibility and breadth, and with its continual growth, there's always so much more to learn. In the tradition of O'Reilly's Nutshell guides, this thoroughly updated edition is simply the best one-volume reference to the C# language available today.

Название: Инструменты, алгоритмы и структуры данных
Автор: Мейер Б.
Издательство: ИНТУИТ
Год: 2021
Cтраниц: 540
Формат: pdf
Размер: 75 мб
Язык: русский

В учебном пособии рассматриваются технологии, поддерживающие программирование: синтаксис языков программирования, особенности языков, основы компиляции, используемый инструментарий. Большую часть издания составляет рассмотрение структур данных и алгоритмов. При изучении структур данных основное внимание уделяется динамическим структурам, прежде всего, спискам и деревьям. Также излагаются понятия сложности алгоритмов, рекурсивных алгоритмов.

Название: Biological Pattern Discovery with R: Machine Learning Approaches
Автор: Zheng Rong Yang
Издательство: World Scientific
Год: 2022
Формат: PDF
Страниц: 462
Размер: 17,7 Mb
Язык: English

This book provides the research directions for new or junior researchers who are going to use machine learning approaches for biological pattern discovery. The book was written based on the research experience of the author's several research projects in collaboration with biologists worldwide. The chapters are organised to address individual biological pattern discovery problems. For each subject, the research methodologies and the machine learning algorithms which can be employed are introduced and compared. Importantly, each chapter was written with the aim to help the readers to transfer their knowledge in theory to practical implementation smoothly. Therefore, the R programming environment was used for each subject in the chapters. The author hopes that this book can inspire new or junior researchers' interest in biological pattern discovery using machine learning algorithms.

Название: Applied Software Development with Python & Machine Learning
Автор: Robert LeMoyne, Timothy Mastroianni
Издательство: World Scientific
Год: 2022
Формат: PDF
Страниц: 249
Размер: 22,8 Mb
Язык: English

The book presents the confluence of wearable and wireless inertial sensor systems, such as a smartphone, for deep brain stimulation for treating movement disorders, such as essential tremor, and machine learning. The machine learning distinguishes between distinct deep brain stimulation settings, such as 'On' and 'Off' status. This achievement demonstrates preliminary insight with respect to the concept of Network Centric Therapy, which essentially represents the Internet of Things for healthcare and the biomedical industry, inclusive of wearable and wireless inertial sensor systems, machine learning, and access to Cloud computing resources.Imperative to the realization of these objectives is the organization of the software development process. Requirements and pseudo code are derived, and software automation using Python for post-processing the inertial sensor signal data to a feature set for machine learning is progressively developed.