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 Название: Python for Bioinformatics: Using machine learning for drug discovery, cluster analysis, and phylogenetics
Автор: Parul Verma, Shahnaz Fatima
Издательство: BPB Publications
Год: 2025
Страниц: 256
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
Python for Bioinformatics is an essential resource for anyone looking to integrate programming into their biological research. As the field of bioinformatics continues to expand, the ability to analyze vast amounts of biological data becomes increasingly crucial. This book introduces bioinformatics, blending Python programming with biological data analysis. It covers essentials like string handling, regular expressions, file I/O, and object-oriented programming. You will explore Biopython for sequence alignment, format parsing, and accessing biological databases. Learn data visualization with Matplotlib and apply bioinformatics techniques like sequence alignment and phylogenetic analysis. The final chapter includes hands-on mini-projects to solidify your understanding, making it a practical guide for mastering bioinformatics and Python in real-world applications. This book is ideal for students, researchers, and professionals in fields like biology, Computer Science, and biotechnology who seek to understand and apply bioinformatics techniques to analyze biological data and solve real-world problems. | |
Разместил: Ingvar16 7-02-2025, 04:17 | Комментарии: 0 | Подробнее
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 Название: Methods and Applications of Artificial Intelligence: Dynamic Response, Learning, Random Forest, Linear Regression, Interoperability, Additive Manufacturing and Mechatronics, Volume 2
Автор: Abdelkhalak El Hami
Издательство: Wiley-ISTE
Год: 2025
Страниц: 245
Язык: английский
Формат: pdf (true)
Размер: 21.4 MB
Artificial Intelligence (AI) is currently one of the most talked-about technologies, both among scientists and in public media. Several factors have contributed to its development in recent years. The first is access to vast quantities of data, such as in the industrial field, the advent of Industry 4.0, which promotes automation and data sharing in several technologies. Another factor is the continuous improvement in computing power thanks to the development of ever more powerful processors and the optimization of algorithms. With these two limitations removed, the focus of most AI developments is on the quality of predictions. The integration of AI into the industrial domain represents an exciting new frontier for innovation. A significant number of advances in the field of AI rely on Machine Learning, an essential branch of this field. Machine Learning involves the development of algorithms and computer models that can learn from data. Unlike standard programs that follow strict instructions defined by programmers, Machine Learning systems can analyze data, detect diagrams and consequently adjust their behavior, while adapting to new information. AI and Machine Learning are closely interrelated. | |
Разместил: Ingvar16 6-02-2025, 20:49 | Комментарии: 0 | Подробнее
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 Название: Essentials of R for Data Analytics
Автор: Saroj Dahiya Ratnoo, Himmat Singh Ratnoo
Издательство: Wiley
Год: 2021
Страниц: 620
Язык: английский
Формат: epub (true)
Размер: 13.1 MB
With widespread and exponential growth of data, people with Data Science background are in great demand. Data analytics, a subdomain of Data Science, is meant to turn data into insight and actionable knowledge. Data analytics mainly deals with exploring, visualizing, transforming and modelling data for making predictions. Learning R is an essential step towards becoming a data analyst. R is a widely used open-source tool that competes with the other commercially available statistical software. Be it simple data exploration or application of sophisticated statistical and data analytic techniques, the versatility of R is making it an essential tool for working with data. Data Science and data analytics are emerging as essential and much sought after skills in the world today. To be able to realise the full potential of R, it is important to have some level of expertise in R programming so that exasperation does not set in. With no or little knowledge of R programming, any straight away jumping to data analytics may lead to a loss of time and energy in finding and resolving the errors. This book is for undergraduate and postgraduate students, and for research scholars who wish to learn the essential elements of R programming and its tools for data analytics. | |
Разместил: Ingvar16 6-02-2025, 17:20 | Комментарии: 0 | Подробнее
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 Название: Generative Artificial Intelligence in Finance: Large Language Models, Interfaces, and Industry Use Cases to Transform Accounting and Finance Processes
Автор: Pethuru Raj Chelliah, Pushan Kumar Dutta, Abhishek Kumar, Ernesto D.R. Santibanez Gonzalez
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 482
Язык: английский
Формат: pdf (true)
Размер: 42.9 MB
This comprehensive volume delves deep into the diverse applications and implications of Generative AI (GenAI) across accounting, finance, economics, business, and management, providing readers with a holistic understanding of this rapidly evolving landscape. Generative Artificial Intelligence in Finance: Large Language Models, Interfaces, and Industry Use Cases to Transform Accounting and Finance Processes provides a comprehensive guide to ethically harnessing Generative AI systems to reshape financial management. Generative AI is a key theme across the accounting and finance sectors to drive significant optimizations leading to sustainability. Across 22 chapters, leading researchers supply innovative applications of large language models across the economic realm. Through detailed frameworks, real-world case studies, and governance recommendations, this book highlights applied research for generative AI in finance functions. For writing Machine Learning code using Python various libraries like Pandas, Matplotlib, Seaborn, and ML algorithms from Sklearn. Along with the previous work conducted in the field, our study incorporates various methodologies and ML algorithms to address specific tasks such as bankruptcy detection and credit card approval prediction. | |
Разместил: Ingvar16 6-02-2025, 16:56 | Комментарии: 0 | Подробнее
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Название: React 19. Разработка веб-приложений на jаvascript
Автор: Дронов Владимир
Издательство: Bhv
Год: 2025
Формат: PDF
Страниц: 457
Размер: 39 Mb
Язык: Русский
Книга посвящена программированию веб-приложений на языке jаvascript с применением популярного веб-фреймворка React 19. В ней учтены все нововведения, появившиеся в React 19 и новых версиях сопутствующих библиотек.
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Разместил: Chipa 6-02-2025, 11:58 | Комментарии: 0 | Подробнее
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 Название: Python Web Scraping for Developers: Extracting Data from Websites Using Practical Python
Автор: Stephen G Schmitt
Издательство: Independently published
Год: October 7, 2024
Страниц: 149
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB
Python is of the most popular and versatile programming languages in the tech industry. However, despite their popularity and versatility, mastering them can be challenging, especially for beginners. Technical challenges such as debugging and tight deadlines can cause stress and anxiety, and career advancement and staying up to date with the latest developments in the field can be daunting. The process of extracting data from websites is called web scraping. Sometimes you can find it referred to as web harvesting as well. The term typically refers to an automated process that is created with intention to extract data using a bot or a web crawler. Sometimes the concept of web scraping is confused with web crawling. For this reason, we have covered this issue in our other blog post about the main differences between web crawling and web scraping. Programmers skilled in programming languages like Python can develop web data extraction scripts, so-called scraper bots. Python advantages such as diverse libraries, simplicity, and active community make it the most popular programming language for writing web scraping scripts. These scripts can scrape data in an automated way. | |
Разместил: Ingvar16 6-02-2025, 07:10 | Комментарии: 0 | Подробнее
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 Название: Software Design Patterns In Rust
Автор: Evan Pradipta Hardinatha, Jaisy Malikulmulki Arasy, Chevan Walidain
Издательство: RantAI Academy
Серия: Non-Numerical Series Book 3
Год: September 30, 2024
Страниц: 201
Язык: английский
Формат: pdf
Размер: 29.2 MB
Software Design Patterns in Rust is a groundbreaking guide that stands out as the premier modern resource for mastering software design patterns with Rust. This book uniquely integrates Rust’s powerful features, such as its ownership model and type system, with established design patterns, offering readers a contemporary perspective on crafting robust, efficient, and maintainable software. Through practical examples and insightful explanations, it bridges the gap between theory and application, equipping developers with the tools to leverage Rust’s strengths in implementing design patterns effectively. Whether you're new to Rust or a seasoned developer, this book is an essential resource for enhancing your design skills and optimizing your code. | |
Разместил: Ingvar16 6-02-2025, 04:17 | Комментарии: 0 | Подробнее
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 Название: Generative Artificial Intelligence (AI) Approaches for Industrial Applications
Автор: Narasimha Rao Vajjhala, Sanjiban Sekhar Roy, Burak Taşcı, Muhammad Enamul Hoque Chowdhury
Издательство: Springer
Год выхода: 2025
Страниц: 352
Формат: True PDF
Размер: 12,5 MB
Язык: английский
• Includes the latest advancements in generative AI, including cutting-edge case studies and examples
• Offers a comprehensive view of how generative AI is applied across different sectors covering a wide range of industries
• Provides a blend of theoretical foundations and practical applications
"Generative Artificial Intelligence (AI) Approaches for Industrial Applications" explores the transformative potential of Generative AI technologies across various industries. With contributions from international scholars and experts, this book provides a comprehensive overview of the latest trends, mathematical foundations, and practical applications of Generative AI models. | |
Разместил: Dovegone 5-02-2025, 23:52 | Комментарии: 0 | Подробнее
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 Название: Web Forms with React: Build Robust and Scalable Forms with React Hook Form
Автор: Usman Abdur Rehman
Издательство: Apress
Год: 2025
Страниц: 94
Язык: английский
Формат: pdf (true), epub (true), azw3, mobi
Размер: 10.1 MB
Set up web forms from scratch using the most popular React form library in use today, React Hook Form. This book is a succinct and practical guide to building robust, scalable and reusable forms. From social media and YouTube video posts, to product listings on e-commerce sites, most information on the web is entered through forms. In this book, you’ll learn how to properly handle forms in React, how to scale them, and how to handle validations, etc. There are many ways to handle forms in React so it’s good practice to have a standard in place. This book will show you how to do so. Once in place, you’ll be able to code powerful, bug-free forms. Additionally, the book highlights the important role React Hook Form plays in scalability when designing forms. You’ll look at how to handle recurring features, such as password fields and profile sections so they can be easily reused across the applications where they are required. Validations are also crucial in building forms. Web developers new to React with some prior knowledge of jаvascript and TypeScript. React developers who have experience in building forms but are trying to find a new performant and scalable alternative. | |
Разместил: Ingvar16 5-02-2025, 17:01 | Комментарии: 0 | Подробнее
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 Название: Practical Machine Learning: A Beginner's Guide with Ethical Insights
Автор: Ally S. Nyamawe, Mohamedi M. Mjahidi, Noe E. Nnko, Salim A. Diwani
Издательство: CRC Press
Год: 2025
Страниц: 226
Язык: английский
Формат: pdf (true), epub
Размер: 27.7 MB
The book provides an accessible, comprehensive introduction for beginners to Machine Learning, equipping them with the fundamental skills and techniques essential for this field. It enables beginners to construct practical, real-world solutions powered by Machine Learning across diverse application domains. It demonstrates the fundamental techniques involved in data collection, integration, cleansing, transformation, development, and deployment of Machine Learning models. This book emphasizes the importance of integrating responsible and Explainable AI into Machine Learning models, ensuring these principles are prioritized rather than treated as an afterthought. To support learning, this book also offers information on accessing additional Machine Learning resources such as datasets, libraries, pre-trained models, and tools for tracking Machine Learning models. It is important to acknowledge that proficiency in computer programming is essential for developing Machine Learning models. Python, R, and MATLAB are widely recognized as prominent programming languages in this field. | |
Разместил: Ingvar16 5-02-2025, 08:02 | Комментарии: 0 | Подробнее
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