Название: Thinking Functionally in PHP
Автор: Larry Garfield
Издательство: Leanpub
Год: 2021-04-25
Страниц: 157
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.2 MB

Approaching PHP from a functional perspective. Yes, really. With just a pinch of category theory. Functional programming has a reputation of being too nerdy, academic, and inscrutable to be useful for "common" programmers. That reputation is only partially unearned, but the concepts behind functional programming are entirely within reach of every programmer in any modern language. That includes PHP. This book takes the reader through the basics of functional programming, the new capabilities of PHP 7.4 that make it even easier, and the computer-science-y underpinnings that make it all possible. The aim of this book is not to convince you to write all PHP code in a strictly and rigidly functional fashion. Rather, the aim is to encourage you to approach problems from a functional mindset and apply the underlying principles of functional programming… most of the time.

Название: The Machine Learning Simplified : A Gentle Introduction to Supervised Learning
Автор: Andrew Wolf
Издательство: Leanpub
Год: January 2022 (First release)
Страниц: 111
Язык: английский
Формат: pdf (true)
Размер: 16.7 MB

The underlying goal of "Machine Learning Simplified" is to develop strong intuition for ML inside you. We would use simple intuitive examples to explain complex concepts, algorithms or methods, as well as democratize all mathematics behind Machine Learning (ML). After reading this book, you would understand everything that comes into the scope of Supervised Machine Learning, and would be able to not only understand nitty-gritty details of mathematics behind the scene, but also explain to anyone how things work on a high level. My goal for this book is to help make machine learning available to as many people as possible whether technical or not. It is easily accessible for a non-technical reader, but also contains way enough mathematical detail to serve as an introduction to machine learning for a technical reader. Nevertheless, some prior knowledge of mathematics, statistics and the Python programming language is recommended to get the most out of this book.

Название: Deep Learning with TensorFlow and Keras
Автор: Derrick Mwiti
Издательство: Leanpub
Год: 2022
Страниц: 354
Язык: английский
Формат: pdf (true), epub
Размер: 39.9 MB

Build Deep Learning applications with Keras and TensorFlow. Topics covered include Convolutional Neural networks, Recurrent Neural Networks, TensorBoard, Transfer learning, custom training loops, and Keras Functional API. Deep Learning (DL) is a branch of Machine Learning (ML) that involves building networks that try to mimic the working of the human brain. The dendrite in the human brain represents the input to the network, while the axion terminals represent the output. The cell is where computation would take place before we get the output. TensorFlow is an open-source Deep Learning framework that enables us to design and train Deep Learning networks.

Название: Network Analysis Made Simple: An introduction to network analysis and applied graph theory using Python and NetworkX
Автор: Eric Ma, Mridul Seth
Издательство: Leanpub
Год: 2021-04-08
Страниц: 191
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

Are you interested in learning about graph theory and applied network analysis, leveraging your Python skills? Then this is the book for you! See how network science & graph theory connects with a variety of data analysis problems, and use it to solve your next Data Science challenge! As the accompanying book to the popular Network Analysis Made Simple series created and taught by Eric Ma and Mridul Seth at Python, SciPy, ODSC and PyData conferences.

Название: Pattern-Oriented Memory Forensics : A Pattern Language Approach, Revised Edition
Автор: Dmitry Vostokov
Издательство: Leanpub/OpenTask
Год: 2022-10-22 (Revision 3)
Страниц: 97
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This short book is a fully revised transcript of a lecture introducing a pattern language for memory forensics - an investigation of past software behavior in memory snapshots. It provides a unified language for discussing and communicating detection and analysis results despite the proliferation of operating systems and tools, a base language for checklists, and aid in accelerated learning. The lecture has a short theoretical part and then illustrates various patterns seen in crash dumps by using WinDbg debugger from Microsoft Debugging Tools for Windows. Memory forensics is a part of software forensics that considers many types of software execution artifacts and not only memory snapshots.

Название: ASP.Net Core в действии
Автор: Эндрю Лок
Издательство: ДМК Пресс
Год: 2021
Страниц: 908
Язык: русский
Формат: pdf
Размер: 37.05 MB

Эта книга знакомит читателей с основами фреймворка ASP.NET Core, такими как промежуточное ПО, внедрение зависимостей и конфигурация. Автор показывает, как настроить их в соответствии с пользовательскими требованиями. Речь пойдет о том, как добавить аутентификацию и авторизацию в свои приложения, как повысить их безопасность, а также как развертывать их и осуществлять мониторинг. Рассматривается тестирование приложений с использованием модульных и интеграционных тестов. Основное внимание будет уделено тому, как создавать приложения с отрисовкой на стороне сервера, используя страницы Razor и веб-API, а также контроллеры MVC.

Название: Entity Framework Core в действии
Автор: Джон П. Смит
Издательство: ДМК Пресс
Год: 2022
Страниц: 692
Язык: русский
Формат: pdf
Размер: 24.6 MB

Entity Framework радикально упрощает доступ к данным в приложениях .NET. Этот простой в использовании инструмент объектно-реляционного отображения (ORM) позволяет писать код базы данных на чистом C#. Он автоматически отображает классы в таблицы базы данных, разрешает запросы со стандартными командами LINQ и даже генерирует SQL-код за вас. Данная книга научит вас писать код для беспрепятственного взаимодействия с базой данных при работе с приложениями .NET. Следуя соответствующим примерам из обширного опыта автора книги, вы быстро перейдете от основ к продвинутым методам.

Название: Microsoft .NET Developer Bootcamp: How to Get Started with Microsoft .NET Development
Автор: Eric Frick
Издательство: Independently published
Год: 2022
Страниц: 295
Язык: английский
Формат: epub, mobi
Размер: 10.6 MB

The .NET Developer Bootcamp is the perfect way to learn to become a .NET Developer. This training program will teach you the basics of Microsoft .NET and how to program in C#, which is one of the most popular programming languages in the world. In the first part of the book, I will describe some of the motivation of why you would want to become a .NET developer. I have also included material on some of the key concepts and skills you need to master to become a successful programmer. Next, you will also learn about fundamental concepts, such as the software development lifecycle and enterprise applications. You will also learn about the basics of computer networking and web-based systems, including basic HTML. Finally, you will learn the basics of the C# programming language with hands-on exercises. Concepts include if statements, loops, methods, basic file operations and more. We will also look at object-oriented programming and associated concepts. By the end of this section, you will have the basis to build your own C# programs.

Название: Продвинутая работа с ошибками в Go (Golang)
Автор: Антон Телышев, Дмитрий Назарков
Издательство: Stepik
Год: 2022
Формат: PDF
Страниц: много
Размер: 46 Mb
Язык: Русский

Уверены ли вы, что ваш код по работе с ошибками не стыдно показать людям? Практически год ежедневной работы потребовался для создания курса на такую, казалось бы, очевидную тему.

Название: Explainable AI: Foundations, Methodologies and Applications
Автор: Mayuri Mehta, Vasile Palade , Indranath Chatterjee
Издательство: Springer
Год: 2023
Страниц: 273
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book presents an overview and several applications of explainable Artificial Intelligence (XAI). It covers different aspects related to explainable Artificial Intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas. The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks.