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 Название: Text Processing with javascript: Regular Expressions, Tools, and Techniques for Optimal Performance
Автор: Faraz K. Kelhini
Издательство: Pragmatic Bookshelf
Год: 2024
Страниц: 242
Язык: английский
Формат: pdf, epub (true)
Размер: 10.9 MB
You might think of regular expressions as the holy grail of text processing, but are you sure you aren't just shoehorning them in where standard built-in solutions already exist and would work better? javascript itself provides programmers with excellent methods for text manipulation, and knowing how and when to use them will help you write more efficient and performant code. From extracting data from APIs to calculating word counts and everything in between, discover how to pick the right tool for the job and make the absolute most of it every single time. Whether you're a beginner or an advanced programmer, this up-to-date guide will save you a ton of time when dealing with text. With Text Processing with javascript, you'll find a collection of tiny programs, each demonstrating a string manipulation approach in javascript. You'll also focus squarely on the practical aspects of text processing with javascript - that is, what each technique is designed to accomplish and how to use it in your program. Most popular programming languages support regular expressions, and there’s a good reason for that: regular expressions are incredibly powerful at text processing. With regular expressions, you can greatly reduce the time and effort required for complex string parsing tasks that would otherwise take dozens of lines of code. But, as a javascript developer, you may not need to jump into writing regular expression patterns whenever you need to process texts. javascript already provides excellent built-in tools that meet many of your text manipulation needs. In this book, you’ll explore when and how to use each tool by working through real-world scenarios. You’ll learn the mechanics of javascript’s regex in detail via cookbook-style recipes for various text manipulation tasks. | |
Разместил: Ingvar16 13-06-2024, 03:11 | Комментарии: 0 | Подробнее
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 Название: TinyML for Edge Intelligence in IoT and LPWAN Networks
Автор: Bharat S. Chaudhari, Sheetal N. Ghorpade, Marco Zennaro
Издательство: Academic Press/Elsevier
Год: 2024
Страниц: 520
Язык: английский
Формат: pdf (true), epub
Размер: 38.7 MB
Recently, Tiny Machine Learning (TinyML) has gained incredible importance due to its capabilities of creating lightweight machine learning (ML) frameworks aiming at low latency, lower energy consumption, lower bandwidth requirement, improved data security and privacy, and other performance necessities. As billions of battery-operated embedded IoT and low power wide area networks (LPWAN) nodes with very low on-board memory and computational capabilities are getting connected to the Internet each year, there is a critical need to have a special computational framework like TinyML. TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to IoT and LPWANs. It starts by providing the foundations of IoT/LPWANs, low power embedded systems and hardware, the role of artificial intelligence and machine learning in communication networks in general and cloud/edge intelligence. It then presents the concepts, methods, algorithms and tools of TinyML. Practical applications of the use of TinyML are given from health and industrial fields which provide practical guidance on the design of applications and the selection of appropriate technologies. TinyML for Edge Intelligence in IoT and LPWAN Networks is highly suitable for academic researchers and professional system engineers, architects, designers, testers, deployment engineers seeking to design ultra-lower power and time-critical applications. | |
Разместил: Ingvar16 13-06-2024, 01:43 | Комментарии: 0 | Подробнее
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 Название: Algorithms in Advanced Artificial Intelligence
Автор: R.N.V. Jagan Mohan, Vasamsetty Chandra Sekhar
Издательство: CRC Press
Год: 2024
Страниц: 547
Язык: английский
Формат: pdf (true)
Размер: 60.7 MB
Algorithms in Advanced Artificial Intelligence is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, and Blockchain technology. The book addresses the growing attention to advanced technologies due to their ability to provide “paranormal solutions” to problems associated with classical Artificial Intelligence frameworks. AI is used in various subfields, including learning, perception, and financial decisions. It uses four strategies: Thinking Humanly, Thinking Rationally, Acting Humanly, and Acting Rationally. The authors address various issues in ICT, including Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data Analytics, Vision, Internet of Things, Security and Privacy aspects in AI, and Blockchain and Digital Twin Integrated Applications in AI. | |
Разместил: Ingvar16 12-06-2024, 21:46 | Комментарии: 0 | Подробнее
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 Название: Ultimate Git and GitHub for Modern Software Development: Unlock the Power of Git and GitHub Version Control and Collaborative Coding to Seamlessly Manage and Streamline Software Projects
Автор: Pravin Mishra
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 216
Язык: английский
Формат: epub (true)
Размер: 62.2 MB
Ultimate Git and GitHub for Modern Software Development is a comprehensive guide that empowers developers to harness the full potential of Git and GitHub for efficient version control and seamless collaboration. This book takes you on a journey through the fundamentals of Git, exploring its commands, branching strategies, and conflict resolution techniques. It then delves into the world of GitHub, teaching you how to create repositories, collaborate with teams, and contribute to open-source projects. Whether you're a beginner or an experienced developer, this handbook equips you with the skills and knowledge to streamline your development workflow, ensure code integrity, and foster a collaborative coding environment. With clear explanations, real-world examples, and best practices, you will learn to leverage the power of these tools to enhance your coding experience and elevate your projects to new heights. Git and GitHub have revolutionized the way software developers collaborate, manage code, and track changes. As technology continues to evolve, the need for efficient version control systems and collaborative platforms has become paramount. This book is designed to provide you with a comprehensive understanding of Git and GitHub, equipping you with the knowledge and skills necessary to navigate the ever-changing landscape of software development. | |
Разместил: Ingvar16 12-06-2024, 16:10 | Комментарии: 0 | Подробнее
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 Название: Ultimate Pandas for Data Manipulation and Visualization: Efficiently Process and Visualize Data with Python's Most Popular Data Manipulation Library
Автор: Tahera Firdose
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 695
Язык: английский
Формат: pdf, epub
Размер: 22.2 MB
Unlock the power of Data Manipulation with Pandas. Unlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. You'll start with an introduction to pandas and data analysis, followed by in-depth explorations of pandas Series and DataFrame, the core data structures. Learn essential skills for data cleaning and filtering, and master grouping and aggregation techniques to summarize and analyze your data sets effectively. Discover how to reshape and pivot data, join and merge multiple datasets, and handle time series analysis. Enhance your data analysis with compelling visualizations using Matplotlib, and apply your knowledge in a real-world scenario by analyzing bank customer churn. Through hands-on examples and practical use cases, this book equips you with the tools to clean, filter, aggregate, reshape, merge, and visualize data effectively, transforming it into actionable insights. This book is ideal for aspiring data scientists, analysts, and Python enthusiasts looking to enhance their data manipulation skills using Pandas. Familiarity with Python programming basics and a basic understanding of data structures will greatly benefit readers as they delve into the concepts presented in this book. | |
Разместил: Ingvar16 12-06-2024, 14:49 | Комментарии: 0 | Подробнее
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 Название: Расширения ядра Linux: драйверы и модули
Автор: Цилюрик О.И.
Издательство: БХВ-Петербург
Год: 2023
Страниц: 685
Язык: русский
Формат: pdf
Размер: 10.5 MB
В книге подробно рассмотрено программирование драйверов ядра Linux, исследованы возможности расширяемости ядра при помощи модулей. Основная версия ядра — 5.15. Код примеров отработан и проверен на десятках различных инсталляций Linux, установленных из различных дистрибутивов и разных семейств дистрибутивов: Fedora, CentOS, Debian, Ubuntu, Mint. Уделено внимание архитектурам x_64, x_86, ARM, а также одноплатному компьютеру Raspberry Pi и драйверам устройств, подключаемых по USB. Затронут стандарт POSIX, разобраны API ядра, работа с Raspberry Pi, системные вызовы и подключение разнообразных периферийных устройств. Эта книга рассчитана на достаточно опытных разработчиков системного программного обеспечения. Предполагается, что, возможно, у читателя и отсутствует какой-либо опыт в программировании именно для ядра Linux или даже вообще в программировании для этой системы — но предполагаются знания и какой бы то ни было опыт в системном программировании для других операционных систем, которые станут хорошей базой для построения аналогий. В высшей степени плодотворно любое знакомство с одной или несколькими POSIX-системами: Open Solaris, QNX, FreeBSD, NetBSD, MINIX3, ... — с любой из них в равной степени. Совершенно естественно, что от читателя требуется квалифицированное знание языка C — единственного необходимого и достаточного языка системного программирования в Linux. Это необходимо для самостоятельного анализа и понимания приводимых примеров — примеры приводятся, но код детально не обсуждается. Очень продуктивно в дополнение к этому (для работы с многочисленными приводимыми примерами, а еще больше — с их последующей модификацией и сравнениями) иметь хотя бы минимальные познания в языках скриптового программирования UNIX (и лучше в нескольких) — что-то из числа: bash, Perl, awk, Python... | |
Разместил: Ingvar16 12-06-2024, 04:51 | Комментарии: 0 | Подробнее
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 Название: 200+ Python Programs for Beginners
Автор: Hernando Abella
Издательство: Aluna Publishing House
Серия: 200+ Programs For Beginners
Год: 2024
Страниц: 271
Язык: английский
Формат: pdf, azw3, epub (true), mobi
Размер: 10.1 MB
"The continued demand for Python skills across industries makes it a valuable asset for developers". Programming in Python was complicated until you appreciated this wonderful book. Focus on the most important thing: writing code. Starting from the first program to the last will help you quickly increase your skills as a programmer and will give you the knowledge necessary to understand: - The flow of a program; - The syntax; - The direction; - How it works; - What Add keywords to your code; - Make great decisions, and much more. This is a very essential guide with which you can learn to create more than... Once you have solved a certain number of programs, you will be able to develop yourself and turn your own ideas into a reality without even having to think about it. | |
Разместил: Ingvar16 12-06-2024, 03:45 | Комментарии: 0 | Подробнее
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 Название: CodeMosaic: Learn AI-Driven Development and Modern Best Practices for Enterprise
Автор: Arpit Dwivedi
Издательство: Apress
Год: 2024
Страниц: 559
Язык: английский
Формат: pdf, epub
Размер: 24.4 MB
This book is a comprehensive guide for those navigating through the complexities of enterprise software development. For fresh graduates, transitioning from college projects to real-world applications can be overwhelming. This book acts as a roadmap, helping you bridge the gap to become industry-ready. It's like an intensive internship in book form, equipping readers with the skills and knowledge needed for modern tech roles. But it's not just for newcomers. Even experienced developers can get caught up in old routines and miss out on new tools and techniques. With the rise of AI and automation tools like ChatGPT and Copilot, the development landscape is rapidly changing. The core of the book revolves around practical application. Using .NET, Angular, and other Microsoft technologies as foundational pillars, you’ll embark on a hands-on journey. From understanding the basics to designing and deploying a full-stack web application, CodeMosaic offers a holistic learning experience. By the end, you won't just be a developer; you'll be well-equipped to tackle the challenges of today's digital world. For experienced developers looking for new tools and techniques, and recent graduates, transitioning from college projects to real-world applications. | |
Разместил: Ingvar16 11-06-2024, 20:59 | Комментарии: 0 | Подробнее
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 Название: Statistical Prediction and Machine Learning
Автор: John Tuhao Chen, Lincy Y. Chen, Clement Lee
Издательство: CRC Press
Год: 2024
Страниц: 315
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Written by an experienced statistics educator and two data scientists, this book unifies conventional statistical thinking and contemporary Machine Learning framework into a single overarching umbrella over Data Science. The book is designed to bridge the knowledge gap between conventional statistics and Machine Learning. It provides an accessible approach for readers with a basic statistics background to develop a mastery of Machine Learning. The book starts with elucidating examples in Chapter 1 and fundamentals on refined optimization in Chapter 2, which are followed by common supervised learning methods such as regressions, classification, support vector machines, tree algorithms, and range regressions. After a discussion on unsupervised learning methods, it includes a chapter on unsupervised learning and a chapter on statistical learning with data sequentially or simultaneously from multiple resources. When addressing practical problems such as high dimensional inference, Machine Learning often relies on computer intensive algorithms. Many of the underlying thought processes and methodologies have been well-developed but are still fundamentally based in the conventional data analysis framework. One of the major challenges underpinning modern Machine Learning stems from the gap between the conventional model-based inference and data-driven learning algorithms. The knowledge gap hinders practitioners (especially students, researchers, data analysts, or consultants) from truly mastering and correctly applying Machine Learning skills in Data Science. This book is addressed to practitioners in Data Science, but it is also suitable for upper-level undergraduate students and entry-level graduate students who are interested in obtaining a more thorough comprehension of Machine Learning. | |
Разместил: Ingvar16 11-06-2024, 19:16 | Комментарии: 0 | Подробнее
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 Название: Applied Text Mining
Автор: Usman Qamar, Muhammad Summair Raza
Издательство: Springer
Год: 2024
Страниц: 505
Язык: английский
Формат: pdf (true)
Размер: 12.9 MB
This textbook covers the concepts, theories, and implementations of text mining and Natural Language Processing (NLP). It covers both the theory and the practical implementation, and every concept is explained with simple and easy-to-understand examples. It consists of three parts. In Part 1 which consists of three chapters details about basic concepts and applications of text mining are provided, including eg sentiment analysis and opinion mining. It builds a strong foundation for the reader in order to understand the remaining parts. In the five chapters of Part 2, all the core concepts of text analytics like feature engineering, text classification, text clustering, text summarization, topic mapping, and text visualization are covered. Finally, in Part 3 there are three chapters covering deep-learning-based text mining, which is the dominating method applied to practically all text mining tasks nowadays. Various Deep Learning approaches to text mining are covered, includingmodels for processing and parsing text, for lexical analysis, and for machine translation. All three parts include large parts of Python code that shows the implementation of the described concepts and approaches. The textbook was specifically written to enable the teaching of both basic and advanced concepts from one single book. The implementation of every text mining task is carefully explained, based Python as the programming language and Spacy and NLTK as Natural Language Processing libraries. No prior knowledge of Python, Spacy, and NLTK is required. The book is suitable for both undergraduate and graduate students in Computer Science and engineering, who wish to study and learn more on this important active discipline that is considered an important milestone in Artificial Intelligence (AI). The book focuses in a unique style on looking at Generative AI to generate, understand, and interpret text. | |
Разместил: Ingvar16 11-06-2024, 18:26 | Комментарии: 0 | Подробнее
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