Litgu.ru - Литературный Гуру

Название: A Beginner's Guide to Python for Data Analysis
Автор: Henry Harvin
Издательство: India Education LLP
Год: 2023
Страниц: 281
Язык: английский
Формат: epub (true)
Размер: 48.2 MB

Want complete instructions on the Python library and its elements? Get solutions with practical case studies and implications of Python in data analysis through this book. “A Beginner's Guide to Python for Data Analysis” will help you to learn about the different aspects of Python along with its implementation in data analysis in different industries. The AI Sciences Books cover every area of Artificial Intelligence and Data Science utilizing Computer Science programming languages such as Python and R. The books are written by leading experts in the field and provide a comprehensive guide for beginners as well as advanced learners. They also include practical examples and exercises to reinforce learning. Our books may be the finest for beginners; it's a step-by-step tutorial for anyone who wants to learn Artificial Intelligence and Data Science from the ground up. It will aid you in laying a firm basis for learning any other high-level courses. The book contains detailed instructions for manipulating, processing, cleaning, modeling, and crunching datasets in Python. This is a hands-on guide with real case studies on data analysis challenges. In the Process, you will learn pandas, NumPy, IPython, and Jupiter. The guide is suitable for beginners who want to learn data analysis or for professionals who want to refresh their skills. By the end of the guide, you will have a solid understanding of data analysis techniques and tools.

Название: Теория информации. Лабораторный практикум в MATLAB
Автор: А.И. Приходько
Издательство: Инфра-Инженерия
Год: 2022
Страниц: 108
Язык: русский
Формат: pdf
Размер: 20.7 MB

Приводятся основные положения теории информации. Содержатся теоретические сведения, расчетные задания с примерами m-файлов, а также методические указания и контрольные вопросы. Основные разделы теории информации — кодирование источника (сжимающее кодирование) и канальное (помехоустойчивое) кодирование. Теория информации тесно связана с информационной энтропией, коммуникационными системами, криптографией и другими смежными дисциплинами. Для студентов, обучающихся по направлениям подготовки «Инфокоммуникационные технологии и системы связи» и «Радиотехника». Может быть полезно преподавателям.

Название: Oracle Cloud Infrastructure: A Guide to Building Cloud Native Applications
Автор: Jeevan Gheevarghese Joseph, Adao Oliveira Junior, Mickey Boxell
Издательство: Oracle Press/Pearson Education
Год: 2024
Страниц: 448
Язык: английский
Формат: epub (true)
Размер: 31.0 MB

Cloud native development is a modern approach to designing, building, deploying, and managing applications. This approach takes advantage of the benefits of utility computing from providers, such as Oracle Cloud Infrastructure (OCI), and emphasizes automation, elasticity, and resilience. OCI is a next-generation cloud designed to run any application faster and more securely for less. It includes the tools used to build new cloud native applications and to run existing enterprise applications without rearchitecting them. Whether you are new to the cloud or just new to OCI, this book provides an overview of the OCI services needed to build cloud native applications. The users service is built in TypeScript using the NestJS framework, which uses progressive jаvascript to build efficient Node.js server applications. It also uses TypeORM, which is an Object Relational Mapper for TypeScript and jаvascript. Oracle DB connectivity is enabled by the official node-oracledb package from Oracle, for Node.js. This book is written for developers, DevOps professionals, architects, or anyone who wants to understand the various developer-focused features of OCI.

Название: Понятный Python. С наглядным кодом, для детей и начинающих
Автор: Артем Демиденко
Издательство: Литрес
Год: 2023
Формат: pdf, epub
Размер: 10 Мб
Страниц: 60
Язык: Русский

Это увлекательная и понятная книга о Python, созданная специально для начинающих взрослых и их детей. Эта книга предлагает простой и доступный путь в мир программирования, где даже самые молодые читатели могут освоить основы. Примеры кода для детей: Книга содержит множество примеров кода, которые легко понять и объяснить детям. Они иллюстрируют концепции программирования через интересные истории и задачи. Каждая глава вводит важные концепции программирования, такие как переменные, условия, циклы и функции, используя язык, понятный и детям, и начинающим взрослым.

Название: Learning Google Cloud Vertex AI: Build, deploy, and manage machine learning models with Vertex AI
Автор: Hemanth Kumar K.
Издательство: BPB Publications
Год: 2024
Страниц: 387
Язык: английский
Формат: epub (true)
Размер: 31.5 MB

Learn how to build an end-to-end data to AI solution on Google Cloud using Vertex AI. Google Cloud Vertex AI is a platform for Machine Learning (ML) offered by Google Cloud, with the objective of making the creation, deployment, and administration of ML models on a large scale easier. If you are seeking a unified and collaborative environment for your ML projects, this book is a valuable resource for you. This comprehensive guide is designed to help data enthusiasts effectively utilize Google Cloud Platform's Vertex AI for a wide range of machine learning operations. It covers the basics of the Google Cloud Platform, encompassing cloud storage, big query, and IAM. Subsequently, it delves into the specifics of Vertex AI, including AutoML, custom model training, model deployment on endpoints, development of Vertex AI pipelines, and the Explainable AI feature store. By the time you finish reading this book, you will be able to navigate Vertex AI proficiently, even if you lack prior experience with cloud platforms. With the inclusion of numerous code examples throughout the book, you will be equipped with the necessary skills and confidence to create machine learning solutions using Vertex AI.

Название: Python for Machine Learning: From Fundamentals to Real-World Applications
Автор: Kameron Hussain, Frahaan Hussain
Издательство: Sonar Publishing
Год: November 10, 2023
Страниц: 362
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.2 MB

"Python for Machine Learning: From Fundamentals to Real-World Applications" is your comprehensive roadmap to mastering Machine Learning with Python. Whether you're a beginner looking to enter the exciting world of Data Science or an experienced programmer aiming to delve deeper into Machine Learning, this book provides you with the knowledge and practical skills needed to excel in the field. Starting with the fundamentals, you'll learn the essential concepts of Machine Learning and get a solid grasp of Python programming. As you progress, you'll explore the core Machine Learning algorithms, data preprocessing techniques, and Python libraries that are crucial for building predictive models. From linear regression and decision trees to neural networks and Deep Learning, this book covers a wide range of Machine Learning topics. Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to learn and make predictions or decisions without being explicitly programmed.

Название: .NET 7 Design Patterns In-Depth: Enhance code efficiency and maintainability with .NET Design Patterns
Автор: Vahid Farahmandian
Издательство: BPB Publications
Год: 2023
Страниц: 556
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Design patterns in .NET improve code quality, encourage collaboration, and address common software design issues, resulting in more efficient and effective software development projects. This book is an ideal resource for those seeking to learn about design patterns in .NET and their practical application. The book highlights the importance of design patterns in solving software design challenges. It then proceeds to explore creational design patterns, which primarily address object creation, followed by structural design patterns that handle object composition and organization. Furthermore, the book delves into behavioral design patterns, which center around the interaction and communication between objects. It also covers domain logic design patterns, data source architectural design patterns, object-relational behaviors, structures, and metadata mapping design patterns. Moving on, the book provides insights into web presentation design patterns, offering guidance on the effective design of web interfaces. It also examines distribution design patterns, offline concurrency design patterns, and session state design patterns. Lastly, the book presents base design patterns as fundamental building blocks for other patterns. Upon completion of this book, you will possess the knowledge and skills required to design and implement suitable software infrastructures using design patterns, .NET 7.0, and the C# programming language.

Название: GIT intermediate : Know abstractions you use
Автор: Jacek Drąg
Издательство: Leanpub
Год: 2023-11-09
Страниц: 100
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.2 MB

Discover the beauty and elegance of Git! Learn to create decent, professional repositories! Bearing the proper abstractions in mind, you know why and what should be done; It is easier then, to find the answer to how to do it. “GIT intermediate” gives the reader a good sense of Git’s mechanics, how it really works. It is particularly useful when less obvious situations occur. At first glance, Git looks like a tangle of strange commands with incomprehensible parameters. The documentation is hard to read, so the entry threshold seems high. This creates a natural temptation to scrape the bottom of the barrel: to learn just a few operations (performed from command line, graphical tool or IDE) typical of the team’s workflow. As a result, the repository is cluttered with project versions of poor quality, many of which do not meet established standards. The book can be read as “from zero to hero” guide. Nevertheless, after months/years of using Git, it is practical to take a break and return to the roots, from time to time.

Название: Automata: Theory, Trends, and Applications
Автор: Alexander Meduna, Tomáš Kožár
Издательство: World Scientific
Год: 2023
Страниц: 437
Язык: английский
Формат: pdf (true)
Размер: 11.1 MB

This book provides an in-depth analysis of classical automata theory, including finite automata, pushdown automata, and Turing machines. It also covers current trends in automata theory, such as jumping, deep pushdown, and regulated automata. The book strikes a balance between a theoretical and practical approach to its subject by presenting many real world applications of automata in a variety of scientific areas, ranging from programming language processing through natural language syntax analysis up to computational musicology. In Automata: Theories, Trends and Applications all formalisms concerning automata are rigorously introduced, and every complicated mathematical passage is preceded by its intuitive explanation so that even complex parts of the book are easy to grasp. The book also demonstrates how automata underlie several computer-science engineering techniques. This monograph is a useful reference for scientists working in the areas of theoretical Computer Science, computational mathematics, computational linguistics, and compiler writing. It may also be used as a required text in classes dealing with the theory and applications of automata, and theory of computation at the graduate level. This book comes with access to a website which supplies supplementary material such as exercises with solutions, additional case studies, lectures to download, teaching tips for instructors, and more.

Название: AI Applications to Communications and Information Technologies: The Role of Ultra Deep Neural Networks
Автор: Daniel Minoli, Benedict Occhiogrosso
Издательство: Wiley-IEEE Press
Год: 2024
Страниц: 493
Язык: английский
Формат: pdf (true), epub
Размер: 26.4 MB

Apply the technology of the future to networking and communications. Artificial Intelligence (AI), which enables computers or computer-controlled systems to perform tasks which ordinarily require human-like intelligence and decision-making, has revolutionized computing and digital industries like few other developments in recent history. Tools like artificial neural networks (ANNs), large language models, and Deep Learning have quickly become integral aspects of modern life. With research and development into AI technologies proceeding at lightning speeds, the potential applications of these new technologies are all but limitless. Artificial Intelligence (AI) is a subfield of Computer Science (CS) that focuses on the creation of computer-based systems, applications, and algorithms that mimic, to the degree possible, some cognitive processes intrinsic to human intelligence. The field has had a long history and is now blossoming in an all-encompassing manner. AI technologies, particularly Machine Learning (ML) and Deep Learning (DL), are becoming ubiquitous in nearly all aspects of modern life. DL is a subfield of ML as discussed below. The goals of learning are (i) understanding a process or phenomenon and (ii) making prediction about outcomes, namely, inferring a function or relationship that maps the input to an output in such a manner that the learned relationship can be used to predict the future output from a future input. AI applications, and ML/DL- based systems in particular, are positioned to take over complex tasks generally performed by humans (decision- makers) or to provide added support to people. Siri, Alexa, augmented reality (AR), autonomous driving, and object recognition are just a few examples of AI applications.