Litgu.ru - Литературный Гуру

Название: Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making: Optimization Applications
Автор: Irfan Ali, Umar Muhammad Modibbo, Asaju La’aro Bolaji, Harish Garg
Издательство: CRC Press
Год: 2025
Страниц: 335
Язык: английский
Формат: pdf (true), epub
Размер: 19.0 MB

This book comprehensively discusses nature‑inspired algorithms, deep learning methods, applications of mathematical programming, and Artificial Intelligence techniques. It further covers important topics such as the use of Machine Learning and the Internet of Things and multi‑objective optimization under Fermatean hesitant fuzzy and uncertain environment. Data Science has risen as a comprehensive field that utilizes statistical methods, data analysis, and related techniques to comprehend and scrutinize phenomena through data. Sophisticated analytics techniques, inclusive of Machine Learning models, are utilized to derive actionable intelligence or profound understanding from data. This procedure of converting raw data into significant insights is recognized as data‑driven decision‑making (DDDM). The text is primarily written for graduate students and academic researchers in diverse fields, including operations research, mathematics, statistics, Computer Science, information and communication technology, and industrial engineering.

Название: C++ & Python for Beginners - 20th Edition 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Язык: английский
Формат: pdf
Размер: 40.3 MB

Изучите основы Python и C++ и расширьте свои навыки программирования! Высококачественный справочник, содержащий подробные руководства от команды экспертов. Изучайте Python и применяйте его в реальных программах. Начните изучать основы C++ и лучшие советы по работе с кодом. Python и C++ - два самых мощных и многофункциональных языка программирования. Умение понимать и использовать любой из них позволит вам лучше понять современные технологии и то, как они взаимодействуют с нами и окружением.

Название: Causal Inference на Python. Причинно-следственные связи в IT-разработке
Автор: Факур Матеуш
Издательство: Спринт Бук
Год: 2025
Формат: pdf
Страниц: 400
Размер: 37,7 Мб
Язык: русский

Сколько покупателей привлечет дополнительный доллар, вложенный в онлайн-рекламу? Какие клиенты будут покупать только по скидочному купону? Как разработать оптимальную стратегию ценообразования? Причинно-следственный анализ (casual inference) — лучший способ разобраться, как влиять на бизнес-метрики, которыми вы хотите управлять. И для этого понадобится всего пара строк кода на Python. Матеуш Факур рассказывает про малоизвестные применения причинно-следственного анализа, с помощью которых можно оценить влияние воздействия на результат. Менеджеры, специалисты по работе с данными и бизнес-аналитики познакомятся как с классическими методами причинно-следственного анализа (A/B тестами, линейной регрессией, мерой склонности, синтетическим контролем, разностью разностей), так и с современными подходами (применением машинного обучения для оценки гетерогенных эффектов). Каждый метод проиллюстрирован практическим примером.

Название: Learn Data Science Using Python: A Quick-Start Guide
Автор: Engy Fouda
Издательство: Apress
Год: 2024
Страниц: 190
Язык: английский
Формат: pdf (true), epub
Размер: 14.0 MB

Harness the capabilities of Python and gain the expertise need to master Data Science techniques. This step-by-step book guides you through using Python to achieve tasks related to data cleaning, statistics, and visualization. You'll start by reviewing the foundational aspects of the Data Science process. This includes an extensive overview of research points and practical applications, such as the insightful analysis of presidential elections. The journey continues by navigating through installation procedures and providing valuable insights into Python, data types, typecasting, and essential libraries like Pandas and NumPy. You'll then delve into the captivating world of data visualization. Concepts such as scatter plots, histograms, and bubble charts come alive through detailed discussions and practical code examples, unraveling the complexities of creating compelling visualizations for enhanced data understanding. For Data Analysts, data scientists, Python programmers, and software developers new to Data Science.

Название: Optimizing Generative AI Workloads for Sustainability: Balancing Performance and Environmental Impact in Generative AI
Автор: Ishneet Kaur Dua, Parth Girish Patel
Издательство: Apress
Год: 2024
Страниц: 328
Язык: английский
Формат: pdf
Размер: 13.3 MB

This comprehensive guide provides practical strategies for optimizing Generative AI systems to be more sustainable and responsible. As advances in Generative AI such as LLMs accelerate, optimizing these resource-intensive workloads for efficiency and alignment with human values grows increasingly urgent. The book starts with the concept of Generative AI and its wide-ranging applications, while also delving into the environmental impact of AI workloads and the growing importance of adopting sustainable AI practices. It then delves into the fundamentals of efficient AI workload management, providing insights into understanding AI workload characteristics, measuring performance, and identifying bottlenecks and inefficiencies. Hardware optimization strategies are explored in detail, covering the selection of energy-efficient hardware, leveraging specialized AI accelerators, and optimizing hardware utilization and scheduling for sustainable operations. You are also guided through software optimization techniques tailored for Generative AI, including efficient model architecture, compression, and quantization methods, and optimization of software libraries and frameworks.

Название: Mastering Serverless Computing with AWS Lambda: Unlock Scalability, Optimize Costs, and Drive Innovation with AWS Lambda Serverless Solutions for Modern Cloud Transformation
Автор: Eidivandi Omid
Издательство: Orange Education Pvt Ltd
Год: 2024
Страниц: 317
Язык: английский
Формат: pdf, epub
Размер: 35.1 MB

Design and Build Scalable Solutions on the AWS Serverless Ecosystem. AWS Lambda, a key component of AWS Serverless Computing, has transformed application development by allowing developers to focus on code rather than infrastructure. Mastering Serverless Computing with AWS Lambda is a must-have guide for leveraging AWS Lambda to build efficient, cost-effective serverless cloud solutions. This book guides readers from serverless basics to advanced deployment, offering practical approaches to building resilient, scalable applications. Beginning with an introduction to serverless computing, the book explores AWS Lambda fundamentals, covering invocation models, service integrations, and event-driven design. Practical insights into hyper-scaling, instrumentation, and designing for failure empower readers to create robust, production-ready solutions. This guide covers core concepts of serverless computing, including optimizations, automation, and strategies to navigate potential pitfalls. It emphasizes AWS Lambda’s resiliency, scalability, and disaster recovery, using real-world examples to showcase best practices.

Название: Data Science Solutions on Azure: The Rise of Generative AI and Applied AI, 2nd Edition
Автор: Julian Soh, Priyanshi Singh
Издательство: Apress
Год: 2024
Страниц: 294
Язык: английский
Формат: pdf
Размер: 18.9 MB

This revamped and updated book focuses on the latest in AI technology―Generative AI. It builds on the first edition by moving away from traditional data science into the area of applied AI using the latest breakthroughs in Generative AI. Based on real-world projects, this edition takes a deep look into new concepts and approaches such as Prompt Engineering, testing and grounding of Large Language Models, fine tuning, and implementing new solution architectures such as Retrieval Augmented Generation (RAG). You will learn about new embedded AI technologies in Search, such as Semantic and Vector Search. Written with a view on how to implement Generative AI in software, this book contains examples and sample code. In addition to traditional Data Science experimentation in Azure Machine Learning (AML) that was covered in the first edition, the authors cover new tools such as Azure AI Studio, specifically for testing and experimentation with Generative AI models.

Название: Artificial Intelligence for Precision Agriculture
Автор: Pethuru Raj, N. Gayathri, G. Jaspher Willsie Kathrine
Издательство: CRC Press
Год: 2025
Страниц: 322
Язык: английский
Формат: pdf (true), epub
Размер: 25.5 MB

Precision agriculture is a next-generation farming management concept that optimizes resource use, productivity, quality, profitability, and sustainability by observing and responding to crop variability. Precision agriculture employs digital technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), 5G communication, cybersecurity, edge computing, cloud-native principles, and blockchain to ensure crops and soil receive exactly what they need for optimal health and productivity. Artificial Intelligence for Precision Agriculture explores the latest developments in precision agriculture, detailing how AI contributes to its goals. The book discusses how precision agriculture solutions use IoT devices, data storage, AI analytics, connectivity, and cloud infrastructures to analyze factors such as soil type, terrain, weather, plant growth, and yield data. It also examines edge technologies—sensors, microchips, beacons, RFID tags, robots, drones, and actuators—that collect field data and transmit it to cloud-based AI platforms for analysis. The book shows how AI-driven insights guide actions in the field, such as crop rotation, optimal planting and harvesting times, and soil management, and help farmers apply the right amounts of water, fertilizers, and pesticides, reducing waste and environmental impact. Machine Learning is a technique that uses mathematics and statistical learning to create a model that helps in predicting the values which are not known prior. In Machine Learning, we try to solve problems with computers without explicitly programming them for a specific task.

Название: Snowflake Data Engineering (Final Release)
Автор: Maja Ferle
Издательство: Manning Publications
Год: 2025
Страниц: 370
Язык: английский
Формат: pdf (true)
Размер: 19.4 MB

A practical introduction to data engineering on the powerful Snowflake cloud data platform. Data engineers create the pipelines that ingest raw data, transform it, and funnel it to the analysts and professionals who need it. The Snowflake cloud data platform provides a suite of productivity-focused tools and features that simplify building and maintaining data pipelines. In Snowflake Data Engineering, Snowflake Data Superhero Maja Ferle shows you how to get started. Snowflake Data Engineering reveals how Snowflake makes it easy to work with unstructured data, set up continuous ingestion with Snowpipe, and keep your data safe and secure with best-in-class data governance features. Along the way, you’ll practice the most important data engineering tasks as you work through relevant hands-on examples. Throughout, author Maja Ferle shares design tips drawn from her years of experience to ensure your pipeline follows the best practices of software engineering, security, and data governance. Since Snowflake is a relational database, knowledge of SQL querying, including data definition language (DDL) and data manipulation language (DML) operations, is vital. Depending on the reader’s preference, if they plan to use Snowpark with Python, they must also know how to write Python code.

Название: Road to Kubernetes (Final Release)
Автор: Justin Mitchel
Издательство: Manning Publications
Год: 2024
Страниц: 304
Язык: английский
Формат: pdf (true)
Размер: 28.6 MB

Learn how and why to use Kubernetes to deploy projects of any size. “Should we use Kubernetes?” This unique guide condenses 15 years of deployment experience to help answer that very question. It teaches you sustainable deployment practices you can use with any programming language and nearly any kind of modern app. You’ll create portable and containerized applications that can move across deployment options and cloud providers and see why Kubernetes is often the right choice for both small projects and big enterprise software. With Road to Kubernetes, we start with creating simple Python and Node.js web applications. These applications will stay with us for our entire journey so we can learn about all the various tools and techniques to deploy them. From there, we start using secure shells (SSH) and modern version control by way of Git with self-managed environments, self-managed repositories, and self-managed deployments. If you are unsure if Kubernetes is right for you or your project, this is the book for you. Ideally, you have some basic knowledge of writing Python or jаvascript code, so you have the foundation to start with the practical examples in this book.