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Название: 100 ошибок Go и как их избежать
Автор: Харшани Тейва
Издательство: Питер
Год: 2024
Формат: pdf
Страниц: 480
Размер: 13,8 Мб
Язык: русский

Лучший способ улучшить код — понять и исправить ошибки, сделанные при его написании. В этой уникальной книге проанализированы 100 типичных ошибок и неэффективных приемов в Go-приложениях. Вы научитесь писать идиоматичный и выразительный код на Go, разберете десятки интересных примеров и сценариев и поймете, как обнаружить ошибки и потенциальные ошибки в своих приложениях. Чтобы вам было удобнее работать с книгой, автор разделил методы предотвращения ошибок на несколько категорий, начиная от типов данных и работы со строками и заканчивая конкурентным программированием и тестированием. Для опытных Go-разработчиков, хорошо знакомых с синтаксисом языка.

Название: Байесовские модели восприятия и действия: Современный взгляд на принципы работы мозга
Автор: Вэй Цзи Ма, Конрад Кёрдинг, Дэниел Голдрайх
Издательство: ДМК Пресс
Год: 2023
Страниц: 460
Язык: русский
Формат: pdf
Размер: 29.1 MB

Многие формы восприятия и действий можно математически смоделировать с помощью вероятностного (байесовского) вывода – метода, используемого для получения выводов на основе неопределенных данных. Согласно этим моделям, сталкиваясь с зашумленными и неоднозначными данными, человеческий мозг ведет себя как талантливый специалист по обработке данных или следователь на месте преступления. Данная богатая примерами и иллюстрациями книга представляет собой введение в методологию построения и использования вероятностных моделей принятия решений и действий. Издание адресовано широкому кругу читателей, интересующихся нейробиологией, когнитивными науками, машинным обучением, психологией, лингвистикой и математикой.

Название: R Programming for Actuarial Science
Автор: Peter McQuire, Alfred Kume
Издательство: Wiley
Год: 2024
Страниц: 632
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Professional resource providing an introduction to R coding for actuarial and financial mathematics applications, with real-life examples. R Programming for Actuarial Science provides a grounding in R programming applied to the mathematical and statistical methods that are of relevance for actuarial work. The overriding objective of this book is to help students of actuarial mathematics and related disciplines such as financial mathematics, develop programming skills which will enhance their understanding of actuarial, financial, and statistical concepts, enabling them to solve real-world problems encountered in these fields. Breaking this down further, the purposes of the book is two-fold: 1) To provide an introduction to the programming language, R. This is achieved using worked examples and undertaking exercises commonly seen in the fields of actuarial and financial mathematics; 2) Secondly, to improve the reader’s level of understanding of actuarial and financial topics by using these programming skills.

Название: Explainable Artificial Intelligence for Biomedical Applications
Автор: Utku Kose, Deepak Gupta, Xi Chen
Издательство: River Publishers
Год: 2023
Страниц: 421
Язык: английский
Формат: pdf (true)
Размер: 30.8 MB

Since its first appearance, Artificial Intelligence (AI) has been ensuring revolutionary outcomes in the context of real-world problems. At this point, it has strong relations with biomedical and today’s intelligent systems compete with human capabilities in medical tasks. However, advanced use of artificial intelligence causes intelligent systems to be black-box. That situation is not good for building trustworthy intelligent systems in medical applications. For a remarkable amount of time, researchers have tried to solve the black-box issue by using modular additions, which have led to the rise of the term: interpretable artificial intelligence. As the literature matured (as a result of, in particular, deep learning), that term transformed into Explainable Artificial Intelligence (XAI). This book provides an essential edited work regarding the latest advancements in Explainable Artificial Intelligence (XAI) for biomedical applications. It includes not only introductive perspectives but also applied touches and discussions regarding critical problems as well as future insights.

Название: Fuzzy Logic-Based Software Systems
Автор: Konstantina Chrysafiadi
Издательство: Springer
Год: 2023
Страниц: 187
Язык: английский
Формат: pdf (true), epub
Размер: 10.3 MB

This book aims to provide information about significant advances of Fuzzy Logic in software systems to researchers, scientists, educators, students, software engineers and developers. In particular, this book explains how Fuzzy Logic, can be used in software systems to automatically predict, model, decide, diagnose, recommend etc.. In more details, Fuzzy Logic is an artificial intelligent technique that is ideal for successfully addressing, , the uncertainty, imprecision and vagueness that exist in many diverse scientific and technological areas. It was introduced by Lotfi A. Zadeh of the University of California at Berkeley, as a methodology for computing with words. This ability of Fuzzy Logic allows the representation of imprecise and vague data in a more realistic way. Therefore, Fuzzy Logic-based systems can simulate the human reasoning and decision-making processes, addressing the human subjectivity. Fuzzy Logic-based software systems are referred to any software that concerns an automated program or process that is used in everyday life, like heating or air-conditioning system, or in the scientific world, like a medical diagnostic system, which uses Fuzzy Logic in order to perform reasoning. Artificial Intelligence (AI) is the process of making machines to think and to do tasks like humans. It includes advanced technologies that make machines more intelligent and capable of performing tasks more efficiently and reliable. There is a variety of AI techniques including Machine Learning, artificial neural networks, Deep Learning, knowledge representation and reasoning techniques. An AI technique is Fuzzy Logic, which allows reasoning in cases where there is uncertainty, vagueness, imprecision and/or subjectivity.

Название: Thinking in SwiftUI, 2nd Edition
Автор: Chris Eidhof, Florian Kugler
Издательство: objc
Год: 2023-09-22
Страниц: 152
Язык: английский
Формат: pdf (true), djvu
Размер: 10.2 MB

Updated for iOS 17. SwiftUI is radically different from UIKit. In this short book, we will help you build a mental model of how SwiftUI works. We explain the most important concepts in detail and help you build a solid foundation for understanding SwiftUI. Since SwiftUI is a large framework, the book focuses on the concepts behind the framework that we believe are essential to understand. It is not a reference for SwiftUI’s platform-specific APIs, but rather a guide to honing your intuition about how SwiftUI works. Thinking in SwiftUI is geared toward developers who have both prior experience with Apple’s platforms and a good understanding of the Swift language. When SwiftUI came out, it was a radical departure from UIKit. We wrote the first edition of this book to help you build a mental model of the way SwiftUI works. A few years have passed since then, and we’ve had the opportunity to teach this material to many teams of developers, large and small. During this process, we continued to improve and refine our approach of explaining SwiftUI’s fundamentals based on the feedback from the workshops. This new edition of Thinking in SwiftUI is the result of that journey: we rewrote the entire book from the ground up to be on par with the way we teach SwiftUI in our workshops.

Название: Unleashing the Power of TypeScript
Автор: Steve Kinney
Издательство: SitePoint Pty. Ltd.
Год: 2023
Страниц: 92
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

If you're a jаvascript developer struggling to get to grips with TypeScript or use it effectively in your projects, this book will guide you in making the most of this powerful language and its latest features, and help you overcome some common misunderstandings and pitfalls. TypeScript 5.0 is a major advancement to the user-friendliness and flexibility of the language. It nudges us toward better coding practices, promotes cleaner code, and catches potential errors before they become a headache. It's a great time to start using TypeScript, but if you're a jаvascript developer struggling to get to grips with the language or use it effectively in your projects, this short book is for you. It will guide you in making the most of this powerful language and its latest features, and help you overcome some common misunderstandings and pitfalls. Many of the example React applications we see tend to be small and easily understandable. But in the real world, React apps tend to grow to a scale that makes it impossible for us to keep all of the context in our head. This can often lead to unexpected bugs when a given value isn’t what we thought it would be. That object you thought had a certain property on it? It turns out it ended up being undefined somewhere along the way. That function you passed in? Yeah, that’s undefined too. This book is for intermediate-level jаvascript developers who want to get to grips with the powerful features that TypeScript offers.

Название: Advanced Analytics with Power BI and Excel: Learn Powerful Visualization and Data Analysis Techniques Using Microsoft BI Tools along with Python and R
Автор: Dejan Sarka, Jernej Rihar, Klemen Voncina
Издательство: Orange Education Pvt Ltd
Год: 2023
Страниц: 295
Язык: английский
Формат: pdf, epub
Размер: 17.0 MB

Empowering You to Master Business Intelligence and Solve Real-world Analytical problems. In today's analytics landscape, proficiency in Excel and Power BI is practically a prerequisite for a successful career. This book provides a concise yet comprehensive exploration of these foundational elements of modern Business Intelligence (BI). Comprising ten chapters, this book covers the entire development journey of a Power BI analytical solution, spanning from data modeling and preparation to report creation, publication, and dashboard and app deployment. It offers insights into security measures and performance optimization, ensuring a well-rounded understanding of the BI ecosystem. Furthermore, it delves into advanced topics, such as leveraging Data Science algorithms within reports, offering readers an extensive learning experience. The book takes a holistic approach to these technologies, offering a contrast to the narrow perspectives often adopted by contemporary BI professionals who rely solely on a single tool or language. The book allows data enrichment through calculations that can be achieved using various languages, including SQL queries at the source, Power Query Formula Language, M, Python, R, and DAX.

Название: Cybernetical Intelligence: Engineering Cybernetics with Machine Intelligence
Автор: Kelvin K. L. Wong
Издательство: Wiley-IEEE Press
Год: 2024
Страниц: 433
Язык: английский
Формат: pdf (true), epub
Размер: 16.0 MB

Highly comprehensive, detailed, and up-to-date overview of Artificial Intelligence and cybernetics, with practical examples and supplementary learning resources. Cybernetical Intelligence: Engineering Cybernetics with Machine Intelligence is a comprehensive guide to the field of cybernetics and neural networks, as well as the mathematical foundations of these technologies. The book provides a detailed explanation of various types of neural networks, including feedforward networks, recurrent neural networks, and convolutional neural networks as well as their applications to different real-world problems. This groundbreaking book presents a pioneering exploration of Machine Learning within the framework of cybernetics. It marks a significant milestone in the field’s history, as it is the first book to describe the development of Machine Learning from a cybernetics perspective. Artificial Intelligence (AI) is a field of engineering cybernetics that focuses on the development of intelligent machines that can simulate human-like behaviors such as learning, problem-solving, reasoning, and decision-making. AI technology involves the use of algorithms and computational models to analyze vast amounts of data, recognize patterns and make predictions, and interact with humans through Natural Language Processing (NLP) and other forms of communication.

Название: Principles of Computer Science: An Invigorating, Hands-on Approach
Автор: Joshua Crotts
Издательство: J. Ross Publishing
Год: 2024
Страниц: 759
Язык: английский
Формат: pdf (true)
Размер: 11.7 MB

Principles of Computer Science is an invigorating and rapid adventure that covers core introductory theoretical Computer Science topics, including discrete mathematics, logic, programming languages, and programming language pragmatics. Readers dive deep into the syntax and semantics of constructing a small yet usable programming language (interpreter) containing paradigms from functional and non-functional programming. Additionally, users will gain an understanding of compilation by writing functions that translate code written in their high-level language down to low-level machine language. Moreover, Crotts provides a perspective on event-driven programming, memory management via garbage collection, and much more. Principles of Computer Science assumes no prior programming experience--all topics are taught from scratch, making this a highly approachable and inclusive textbook.