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 Название: MATLAB Primer (R2022b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2022
Страниц: 142
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB
Millions of engineers and scientists worldwide use MATLAB to analyze and design the systems and products transforming our world. MATLAB is in automobile active safety systems, interplanetary spacecraft, health monitoring devices, smart power grids, and LTE cellular networks. It is used for machine learning, signal processing, image processing, computer vision, communications, computational finance, control design, robotics, and much more. The MATLAB platform is optimized for solving engineering and scientific problems. The matrix-based MATLAB language is the world’s most natural way to express computational mathematics. Built-in graphics make it easy to visualize and gain insights from data. A vast library of pre-built toolboxes lets you get started right away with algorithms essential to your domain. The desktop environment invites experimentation, exploration, and discovery. These MATLAB tools and capabilities are all rigorously tested and designed to work together. | |
Разместил: Ingvar16 31-12-2022, 05:28 | Комментарии: 0 | Подробнее
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Название: Программист 2020..2030. Технология будущего
Автор: Д. Олар
Название: Программист 2020..2030. Технология будущего. Дополнительные материалы
Издательство: exe.lab
Формат: Видео .avi
Размер: 798,62 mb
Язык: Русский
В видеокурсе Программист 2020..2030 раскрываются темы, которые находятся «в работе» и будут наиболее популярны в программирование на ближайшие 10 лет: цифровая экономика (биткойн, блокчейны, смарт-контракты), искусственный интеллект (нейросети, современная робототехника), большие данные (из соц.сетей, наука о данных, статистическая обработка, бизнес применение). Также продолжатся разработки прошлых десятилетий: веб-сайты, игры для смартфонов и планшетов, облачные сервисы. ... | |
Разместил: aviatik 31-12-2022, 04:57 | Комментарии: 0 | Подробнее
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 Название: MATLAB C/C++, Fortran, Java, and Python API Reference (R2022b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2022
Страниц: 730
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB
If you have a C++ shared library that exports functionality that can be called from another application, then you can use these classes and functions directly in MATLAB. To get started, you must first build an interface to the C++ library to use to call the functionality in MATLAB. Someone who creates this interface is called a publisher. You can package the interface and share it with a MATLAB end user. You can access existing Java classes to use in the MATLAB workspace. For example, use built-in class packages, such as java.util, which are included in the Java language. See your Java language documentation for descriptions of these packages. You also can access classes defined in individual .class files, packages, or Java Archive (JAR) files, including classes you develop. You can run MATLAB with your system version of the Java Runtime Environment (JRE). | |
Разместил: Ingvar16 30-12-2022, 18:34 | Комментарии: 0 | Подробнее
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 Название: ASP.NET Core Razor Pages in Action (Final)
Автор: Mike Brind
Издательство: Manning Publications
Год: 2023
Страниц: 413
Язык: английский
Формат: epub (true), mobi
Размер: 19.6 MB
Razor Pages lets you build, configure, and deploy amazing dynamic ASP.NET websites with ease. ASP.NET Core Razor Pages in Action teaches you to develop dynamic websites using the powerful Razor Pages framework, .NET 6, and ASP.NET. Simplify ASP.NET web development with Razor Pages! Razor Pages provides a cohesive page-based organization layer for application components like routes and actions. It’s page-centric approach means you spend less dev time switching between the controller, model, and view files, as compared to a traditional MVC approach. Razor Pages is a server-side, cross-platform, open source web development framework from Microsoft that enables you to use your existing knowledge of HTML, CSS, and javascript together with the C# language to build modern, page-focused web applications. | |
Разместил: Ingvar16 30-12-2022, 18:15 | Комментарии: 0 | Подробнее
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 Название: Python and Machine Learning for Beginners: A complete easy guide to learning Python and Machine Learning in one go!
Автор: Santos Ozoemena
Издательство: Simple Code Publishing
Год: December 27, 2022
Страниц: 435
Язык: английский
Формат: epub, azw3
Размер: 10.1 MB
Are you looking to get started with Python and Machine Learning? Look no further! This comprehensive 2-in-1 bundle is the perfect resource for beginners looking to learn both Python and Machine Learning in one easy guide. With this book, you'll be able to grasp the basic fundamentals of Python and learn how to use it to solve real-world problems. You'll also get a crash course in Machine Learning, including key concepts, algorithms, and techniques. In the Chapter 3, we will look at some of the useful techniques for efficiently loading, storing and manipulating in-memory data in Python. Owing to this cause, good storage and manipulation of numerical arrays is the core of every process in Data Science. Now, there are two specialized tools that Python uses for handling these numerical arrays: the NumPy package, and the Pandas package. In this chapter we will go into the details of the NumPy package. | |
Разместил: Ingvar16 30-12-2022, 18:01 | Комментарии: 0 | Подробнее
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 Название: Applications of Artificial Intelligence in Medical Imaging
Автор: Abdulhamit Subasi
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 381
Язык: английский
Формат: pdf (true)
Размер: 15.3 MB
Artificial Intelligence (AI) plays an important role in the field of medical image analysis, including computer-aided diagnosis, image-guided therapy, image registration, image segmentation, image annotation, image fusion, and retrieval of image databases. With advances in medical imaging, new imaging methods and techniques are needed in the field of medical imaging, such as cone-beam/multi-slice CT, MRI, positron emission tomography (PET)/CT, 3D ultrasound imaging, diffuse optical tomography, and electrical impedance tomography, as well as new AI algorithms/applications. This book offers advanced or up-to-date medical image analysis methods through the use of algorithms/techniques for AI, Machine Learning (ML), and IR. Data/information can be learned through AI, IR, and ML in the form of an image, that is, a collection of pixels, as it is impossible to recruit experts for Big Data. The author of this book has a lot of hands-on experience using Python and MATLAB to solve real-world problems in the context of the ML ecosystem. Applications of Artificial Intelligence in Medical Imaging aims to provide the readers of various skill levels with the knowledge and experience necessary to develop useful AI solutions. Additionally, this book serves as a solution manual for creating sophisticated real-world systems. | |
Разместил: Ingvar16 30-12-2022, 15:17 | Комментарии: 0 | Подробнее
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 Название: Learn javascript : Beginners Edition
Автор: Suman Kunwar
Издательство: Leanpub
Год: 2022-12-22
Страниц: 105
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.2 MB
This book provides a basic understanding of programming and javascript. The foundations and core concepts are described in simple terms in an organized manner. In-depth information and notes are provided with examples to understand the topic. Exercises are also present at the end. Learn javascript: Beginners Guide will teach you the basics of programming and javascript. Whether you are an experienced programmer or not, this book is intended for everyone who wishes to learn the javascript programming language. | |
Разместил: Ingvar16 30-12-2022, 06:33 | Комментарии: 0 | Подробнее
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 Название: MATLAB Financial Toolbox User’s Guide (R2022b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2022
Страниц: 3304
Язык: английский
Формат: pdf (true)
Размер: 14.9 MB
Analyze financial data and develop financial models. Financial Toolbox provides functions for the mathematical modeling and statistical analysis of financial data. You can analyze, backtest, and optimize investment portfolios taking into account turnover, transaction costs, semi-continuous constraints, and minimum or maximum number of assets. The toolbox enables you to estimate risk, model credit scorecards, analyze yield curves, price fixed-income instruments and European options, and measure investment performance. Stochastic differential equation (SDE) tools let you model and simulate a variety of stochastic processes. Time series analysis functions let you perform transformations or regressions with missing data and convert between different trading calendars and day-count conventions. | |
Разместил: Ingvar16 30-12-2022, 06:02 | Комментарии: 0 | Подробнее
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 Название: Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network
Автор: Thiruselvan Subramanian, Archana Dhyani, Adarsh Kumar
Издательство: CRC Press
Год: 2023
Страниц: 245
Язык: английский
Формат: pdf (true), epub (true)
Размер: 11.1 MB
Quantum computing is a field in which advanced technologies like quantum communication, Artificial Intelligence (AI) and Machine Learning (ML) can be used to secure and speed up connectivity using quantum computers, quantum drones or quantum satellites. This book serve as a foundation for researchers and scientists in this field. Future technologies, such as quantum drone delivery systems, quicker internet and climate change mitigation, will need quantum information processing and quantum computation. This book deeply explores the importance of quantum computing in real-time applications. It may be used as a reference book for students in higher education, including undergraduate and graduate students, as well as researchers. A quantum computer uses quantum circuits, which are made up of wires and quantum gates. Quantum logic gates are used to couple qubits for getting entangled states and long coherent states required for quantum information manipulation. The quantum information is moved around in the wires and then manipulated using quantum gates. | |
Разместил: Ingvar16 30-12-2022, 05:49 | Комментарии: 0 | Подробнее
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 Название: MATLAB Econometrics Toolbox User’s Guide (R2022b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2022
Страниц: 4162
Язык: английский
Формат: pdf (true)
Размер: 27.3 MB
Model and analyze financial and economic systems using statistical methods. Econometrics Toolbox provides functions for analyzing and modeling time series data. It offers a wide range of visualizations and diagnostics for model selection, including tests for autocorrelation and heteroscedasticity, unit roots and stationarity, cointegration, causality, and structural change. You can estimate, simulate, and forecast economic systems using a variety of modeling frameworks. These frameworks include regression, ARIMA, state-space, GARCH, multivariate VAR and VEC, and switching models. The toolbox also provides Bayesian tools for developing time-varying models that learn from new data. A probabilistic time series model is necessary for a wide variety of analysis goals, including regression inference, forecasting, and Monte Carlo simulation. When selecting a model, aim to find the most parsimonious model that adequately describes your data. A simple model is easier to estimate, forecast, and interpret. | |
Разместил: Ingvar16 30-12-2022, 05:24 | Комментарии: 0 | Подробнее
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