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.

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.

Название: Deep Learning Project for Computer Vision with Python
Автор: Tony Snake
Издательство: Independently published
Год: 2022
Страниц: 297
Язык: английский
Формат: pdf, epub
Размер: 11.5 MB

Learn how to fine-tune the current state-of-the-art EffecientNet V2 model to perform image classification on satellite data (EuroSAT) using TensorFlow in Python. Satellite image classification is undoubtedly crucial for many applications in agriculture, environmental monitoring, urban planning, and more. Applications such as crop monitoring, land and forest cover mapping are emerging to be utilized by governments and companies, and labs for real-world use. Learn how to make a barcode scanner that decodes barcodes and draw them in the image using pyzbar and OpenCV libraries in Python. In this tutorial, you will learn how to build a satellite image classifier using the TensorFlow framework in Python.

Название: Секреты Python: 59 рекомендаций по написанию эффективного кода
Автор: Бретт Слаткин
Издательство: ИД "Вильямс"
Год: 2016
Формат: PDF, DJVU
Страниц: 274
Размер: 20 мб
Язык: Русский

Язык программирования Python обладает уникальными возможностями, осознать которые поначалу не так-то просто. Предыдущий опыт многих программистов, знакомых с другими языками, часто мешает им в полной мере оценить выразительность средств Python и эффективно использовать предлагаемые возможности.

Название: Learning R and Python for Business School Students
Автор: Yuxing Yan
Издательство: Cambridge Scholars Publishing
Год: 2023
Страниц: 703
Язык: английский
Формат: pdf (true)
Размер: 13.3 MB

From this book, readers learn basic concepts and programming skills related to R, and Python, then apply them to finance, accounting, marketing, and other business areas. This is a beginner’s book. In other words, we do not assume that readers have any prior knowledge or skills for R or Python. A reader or student could learn both R and Python within one semester if the book is used as a textbook with a good instructor. On the other hand, if a learner learns both languages by himself/herself, it is a good idea to take two semesters, i.e., at a slow pace. There are three parts of the book: R, Python, and applications of R and Python. If this book is adopted as a textbook, the first two parts are more than enough for one semester. The first 13 chapters are centered on R. Starting from Chapter 14: Python Basics, we will focus on Python. One important feature of the second half of the book is that we constantly compare Python with R. Such a comparison serves two purposes. First, learners/students could refresh their mind about R knowledge and related functions. Second, it is much easier to use the same concept with a different language.

Название: Modern Deep Learning for Tabular dаta: Novel Approaches to Common Modeling Problems
Автор: Andre Ye, Zian Wang
Издательство: Apress
Год: 2023
Страниц: 855
Язык: английский
Формат: pdf
Размер: 51.8 MB

Deep learning is one of the most powerful tools in the modern Artificial Intelligence landscape. While having been predominantly applied to highly specialized image, text, and signal datasets, this book synthesizes and presents novel deep learning approaches to a seemingly unlikely domain – tabular data. Whether for finance, business, security, medicine, or countless other domain, deep learning can help mine and model complex patterns in tabular data – an incredibly ubiquitous form of structured data. Part I of the book offers a rigorous overview of Machine Learning principles, algorithms, and implementation skills relevant to holistically modeling and manipulating tabular data. Part II studies five dominant Deep Learning model designs – Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Attention and Transformers, and Tree-Rooted Networks – through both their ‘default’ usage and their application to tabular data. Part III compounds the power of the previously covered methods by surveying strategies and techniques to supercharge Deep Learning systems: autoencoders, deep data generation, meta-optimization, multi-model arrangement, and neural network interpretability. Each chapter comes with extensive visualization, code, and relevant research coverage

Название: Grokking the Java Interview : Crack you Java Interview with confidence by preparing well using these questions
Автор: Javin Paul
Издательство: Leanpub
Год: 2022-09-04
Страниц: 159
Язык: английский
Формат: pdf (true), epub
Размер: 14.8 MB

This book contains frequently asked questions and their answer/explanations on essential Java topics. You can use this book to revise all essential Java concepts before your interview quickly, and you can also use this book to learn Core Java in depth. Crack your Java interview by preparing important topics and mastering key concepts in a guided and structured way in a short time. Cracking a Java Interview is not easy, and one of the main reasons for that is Java is very vast. There are a lot of concepts and APIs to master to become a decent Java developer. Many people who are good at general topics like Data Structure and Algorithms, System Design, SQL, and Databases fail to crack the Java interview because they don't spend time learning the Core Java concepts and essential APIs and packages like Java Collection Framework, Multithreading, JVM Internals, JDBC, Design Patterns, and Object-Oriented Programming.

Название: C++ Initialization Story: A Guide Through All Initialization Options and Related C++ Areas
Автор: Bartlomiej Filipek
Издательство: Leanpub
Год: 2022-12-23
Страниц: 275
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.3 MB

From basic syntax, constructor and destruction rules, lifetime, and template deduction. Everything you want to know about Modern C++ techniques related to initialization. C++20 included! Initialization in C++ is a hot topic! The internet is full of discussions about best practices, and there are even funny memes on that subject. The situation is not surprising, as there are more than a dozen ways to initialize a simple integer value, complex rules for the auto-type deduction, data members, and object lifetime nuances. Throughout this text, you will learn practical options to initialize various categories of variables and data members in Modern C++. More specifically, this text teaches multiple types of initialization, constructors, non-static data member initialization, inline variables, designated initializers, and more. Additionally, you’ll see the changes and new techniques from C++11 to C++20 and lots of examples to round out your understanding.

Название: Murach's ASP.NET Core MVC
Автор: Mary Delamater, Joel Murach
Издательство: Mike Murach & Associates
Год: 2020
Страниц: 784
Язык: английский
Формат: pdf
Размер: 16.9 MB

If you know the basics of C#, you’re ready to learn how to create web applications using Microsoft’s powerful technology, ASP.NET Core MVC (Model-View-Controller). And there’s no more practical way to do it than with this book. By the end of section 1…just 5 chapters…you’ll be developing real-world web apps that follow the MVC pattern, using C# code for the model and controller classes…HTML, CSS, and Razor code for the user interface (the view)…and Bootstrap classes for responsive design so that your apps adapt well to all screen sizes. You’ll also be able use the debugging tools in Visual Studio and your browser to test your apps thoroughly.

Название: Unreal Engine C++ the Ultimate Developer's Handbook: Learn C++ and Unreal Engine by Creating a Complete Action Game
Автор: Stephen Seth Ulibarri
Издательство: Independently published
Год: 2020
Страниц: 546
Язык: английский
Формат: pdf
Размер: 12.3 MB

Prepare for Unreal Engine 5! Learn the fundamentals of the C++ programming language as well as Unreal Engine’s code base for creating and packaging a complete hack and slash action game. Implement combat, AI and Behavior Trees, animation, gameplay mechanics, interfaces and delegates, collision and physics, ray casting, game saving, menu and HUD creation via UMG, and much more. If you don’t know C++, the programming language used in Unreal Engine, don’t worry. This book will teach you C++, and you will have a valuable reference filled with examples of the C++ principles you will use as a game developer. Tab the book, put in bookmarks, post-it notes, and highlight it. It will serve you as a reference to check back on while you develop your games.