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 Название: Основы алгоритмизации и программирования
Автор: Лубашева Т. В. , Железко Б. А.
Издательство: РИПО
Год: 2016
Cтраниц: 378 с. : ил.
Формат: pdf (ocr)
Размер: 20 мб
Язык: русский
В учебном пособии раскрываются вопросы развития у обучающихся алгоритмического мышления, формирования знаний о свойствах алгоритмов и приобретения практических навыков разработки программ с использованием языка программирования Паскаль. Учебное пособие имеет выраженную практическую направленность в целях формирования профессиональной компетентности будущих специалистов в области принципов построения алгоритмов и методов проектирования программ. | |
Разместил: rivasss 30-04-2024, 00:14 | Комментарии: 0 | Подробнее
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 Название: Practical Machine Learning with R: Tutorials and Case Studies
Автор: Carsten Lange
Издательство: CRC Press
Год: 2024
Страниц: 369
Язык: английский
Формат: pdf (true)
Размер: 16.5 MB
This textbook is a comprehensive guide to Machine Learning and Artificial Intelligence tailored for students in business and economics. It takes a hands-on approach to teach Machine Learning, emphasizing practical applications over complex mathematical concepts. Students are not required to have advanced mathematics knowledge such as matrix algebra or calculus. The author introduces Machine Learning algorithms, utilizing the widely used R language for statistical analysis. Each chapter includes examples, case studies, and interactive tutorials to enhance understanding. No prior programming knowledge is needed. The book leverages the tidymodels package, an extension of R, to streamline data processing and model workflows. This package simplifies commands, making the logic of algorithms more accessible by minimizing programming syntax hurdles. The use of tidymodels ensures a unified experience across various Machine Learning models. R’s relatively simple syntax makes it easy for beginners to learn the language, making R a good choice for teaching Machine Learning. No prior programming skills are required to work with this book. This book is not just a textbook; it is a dynamic learning experience that empowers students and instructors alike with a practical and accessible approach to Machine Learning in business and economics. | |
Разместил: Ingvar16 29-04-2024, 21:20 | Комментарии: 0 | Подробнее
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 Название: Web API Cookbook: Level Up Your jаvascript Applications
Автор: Joe Attardi
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 286
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.1 MB
jаvascript gives web developers great power to create rich interactive browser experiences, and much of that power is provided by the browser itself. Modern web APIs enable web-based applications to come to life like never before, supporting actions that once required browser plug-ins. Some are still in an experimental stage, but many are ready for use today. With this hands-on cookbook, author Joe Attardi helps you explore the powerful APIs available in modern browsers and guides you through the specific tasks that they unlock. Because these features are web standards, there is comprehensive documentation available from trusted resources such as MDN Web Docs. The knowledge you'll gain is transferable across different companies and projects. A Web API is a series of global objects and functions exposed by the browser. Your jаvascript code can use these to interact with the Document Object Model (DOM), perform network communication, integrate with native device features, and much more. This book is intended for software developers with some experience with jаvascript who want to get the most out of the web platform. It assumes that you have a good knowledge of the jаvascript language itself: syntax, language features, and standard library functions. | |
Разместил: Ingvar16 29-04-2024, 16:52 | Комментарии: 0 | Подробнее
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 Название: Software Engineering for Data Scientists: From Notebooks to Scalable Systems (Final)
Автор: Catherine Nelson
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 258
Язык: английский
Формат: pdf (true), epub (true)
Размер: 11.7 MB
Data Science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering,and clearly explains how to apply the best practices from software engineering to Data Science. All the code examples in this book are written in Python, and many of the chapters describe Python-specific tools. In recent years, Python has become the most popular programming language for Data Science. Python has an extremely solid set of open source libraries for data science, with good backing and a healthy community of maintainers. Large trend-setting companies have chosen Python for their main ML frameworks, including TensorFlow (Google) and PyTorch (Meta). Because of this, Python appears to be especially popular among data scientists working on production Machine Learning code, where good coding skills are particularly important. In my experience, the Python community has been friendly and welcoming, with many excellent events that have helped me improve my skills. It’s my preferred programming language, so it was an easy choice for this book. This book is aimed at data scientists, but people working in closely related fields such as data analysts, Machine Learning (ML) engineers, and data engineers will also find it useful. | |
Разместил: Ingvar16 29-04-2024, 16:17 | Комментарии: 0 | Подробнее
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 Название: Kotlin: Сборник рецептов
Автор: Коузен К.
Издательство: ДМК Пресс
Год: 2021
Cтраниц: 220
Формат: pdf
Размер: 11 мб
Язык: русский
Из этого уникального сборника рецептов разработчики узнают, как применять язык Kotlin в Java-проектах. Практические рецепты будут полезны не только новичкам в Kotlin, но и опытным программистам. Кен Коузен показывает, как решать проблемы, исходя из конкретных вариантов использования, а не из базового синтаксиса Kotlin. Вы задаете вопрос, а эта книга дает ответ. Kotlin уже довольно широко используется в разработке для Android, но его можно использовать везде, где применяется Java, а также для разработки в iOS, для создания приложений в машинном коде, для генерации кода на jаvascript и т. д. Присоединяйтесь к сообществу Kotlin и начинайте создавать новые проекты уже сегодня! | |
Разместил: rivasss 29-04-2024, 10:37 | Комментарии: 0 | Подробнее
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 Название: Natural Language Processing using R Pocket Primer
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2022
Страниц: 266
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.1 MB
This book is for developers who are looking for an overview of basic concepts in Natural Language Processing using R. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics. The final chapter presents the Transformer Architecture, BERT-based models, and the GPT family of models, all of which were developed during the past three years. You will be exposed to various NLP and Machine Learning topics in this book, some of which are presented in a cursory manner for two reasons. First, it’s important that you be exposed to these concepts. In some cases, you will find topics that might pique your interest, and hence motivate you to learn more about them through self-study; in other cases, you will probably be satisfied with a brief introduction. Hence, you can decide whether to delve into more detail regarding the topics in this book. Second, a full treatment of all the topics that are covered in this book would probably triple its page count, and few people are interested in reading long technical books. Hence, this book provides a decent view of the NLP and Machine Learning landscape, based on the belief that this approach will be more beneficial for readers who are experienced developers who want to learn about NLP and Machine Learning. Specifically, you will learn about the transformer architecture, the pre-trained BERT model and its variants, and features of GPT-2 and GPT-3 from OpenAI. Please note that this chapter contains Python-based code samples. | |
Разместил: Ingvar16 29-04-2024, 07:48 | Комментарии: 0 | Подробнее
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 Название: Node.js Web Development For Beginners: A Step-By-Step Guide to Build an MVC Web Application With Node.js, Express, and MongoDB
Автор: Nathan Sebhastian
Издательство: Independently published
Год: 2024
Страниц: 253
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB
Are you having trouble learning Node.js? Struggling to create a web application using Node.js? Node.js Web Development For Beginners is the guide you need to learn Node.js quickly and in the right order. With this book, you will see and know how to develop a working web application from scratch using Node.js and Express. Each chapter explains a topic in plain English and includes practical code examples. There's also a full stack project included in this book that will give you the "experience" of building a web application using Node.js. Complete Source Code Included. Most books didn't come with the source code, leaving you discouraged and unable to follow along. I believe you need to inspect and understand every part of the code used in this book. That's why I share the source code with you, integrated at the end of each chapter. No prior knowledge of Node.js is required to get the full benefit of this book, but you do need some basic knowledge of jаvascript. | |
Разместил: Ingvar16 29-04-2024, 07:09 | Комментарии: 0 | Подробнее
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 Название: Foundations of Computer Vision
Автор: Antonio Torralba, Phillip Isola, William T. Freeman
Издательство: The MIT Press
Серия: Adaptive Computation and Machine Learning series
Год: 2024
Страниц: 240
Язык: английский
Формат: epub
Размер: 79.1 MB
An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest Deep Learning advances. Machine Learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook comprehensively introduces the foundations of computer vision while incorporating the latest deep learning advances. Taking a holistic approach that goes beyond Machine Learning, it addresses fundamental issues in the task of vision and the relationship of machine vision to human perception. Foundations of Computer Vision covers topics not standard in other texts, including transformers, diffusion models, statistical image models, issues of fairness and ethics, and the research process. To emphasize intuitive learning, concepts are presented in short, lucid chapters alongside extensive illustrations, questions, and examples. Written by leaders in the field and honed by a decade of classroom experience, this engaging and highly teachable book offers an essential next-generation view of computer vision. | |
Разместил: Ingvar16 28-04-2024, 21:33 | Комментарии: 0 | Подробнее
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 Название: Cloud Automation with Python: for Engineers
Автор: Phil Robins
Издательство: Independently published
Год: 2024
Страниц: 307
Язык: английский
Формат: epub
Размер: 10.1 MB
This book takes an Infrastructure engineer with PowerShell and Bash coding experience through learning Python. It goes through how Python can be used to code Cloud Automation within products like CloudBolt's CMP or use standalone code to provision cloud-based infrastructure in Private and Public clouds. There are other software options within the market, and of course, you, as a Cloud Automation Engineer are free to develop it all yourself, although that is a daunting task considering all of the touch points. Join us as we unravel the tapestry of Cloud Automation, unveiling its transformative potential in driving efficiency, agility, and scalability across VMware, OpenStack, AWS, Azure, and GCP landscapes. Many Infrastructure engineers may have worked within environments where they are siloed into departments who specialize e.g. Linux engineering or Windows Administrators where the exposure to only Bash with Unix/Linux or PowerShell with Windows. Understanding these scripting languages not only unlocks the potential for system administration but also lays the groundwork for transitioning to more advanced languages like Python for cloud automation. Python is known for its versatility and ease of use, making it an ideal language for a wide range of tasks, including automation. With CloudBolt, where automation plays a pivotal role in managing diverse cloud resources, Python's flexibility allows users to create custom integrations, plugins, and automation scripts tailored to specific needs. Python's extensive libraries and modules facilitate seamless integration with various APIs, tools, and services—essential components when working within a CMP like CloudBolt. | |
Разместил: Ingvar16 28-04-2024, 17:03 | Комментарии: 0 | Подробнее
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 Название: Machine Learning Techniques and Industry Applications
Автор: Pramod Kumar Srivastava, Ashok Kumar Yadav
Издательство: IGI Global
Год: 2024
Страниц: 327
Язык: английский
Формат: pdf (true), epub
Размер: 23.5 MB
In today's rapidly evolving world, the exponential growth of data poses a significant challenge. As data volumes increase, traditional methods of analysis and decision-making become inadequate. This surge in data complexity calls for innovative solutions that efficiently extract meaningful insights. Machine Learning has emerged as a powerful tool to address this challenge, offering algorithms and techniques to analyze large datasets and uncover hidden patterns, trends, and correlations. Machine Learning Techniques and Industry Applications demystifies Machine Learning (ML) through detailed explanations, examples, and case studies, making it accessible to a broad audience. Whether you're a student, researcher, or practitioner, this book equips you with the knowledge and skills needed to harness the power of Machine Learning to address diverse challenges. From e-government to healthcare, cyber-physical systems to agriculture, this book explores how Machine Learning can drive innovation and sustainable development. | |
Разместил: Ingvar16 28-04-2024, 14:41 | Комментарии: 0 | Подробнее
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