Название: Strategic Software Quality Management: How to Incorporate Sustainable Continuous Improvement Practices
Автор: Mahsa Fidanboy, Cemalettin Öcal Fidanboy
Издательство: Routledge
Год: 2025
Страниц: 125
Язык: английский
Формат: pdf (true), epub
Размер: 13.2 MB

This book introduces strategic management tools and techniques appropriate for use in software quality management. There has been a gap between strategic management and software quality, and the solutions for solving the problems and improving the software quality usually come from the experience of IT experts: the managerial experience. This book helps people interested in software quality to go beyond the IT technical issues and integrate strategic management tools with their technical knowledge to become more prepared for the future, develop long-term plans for solutions and improvements, take more strategic decisions even when compared with the competitors, and finally, reach sustainable continuous improvements. This book, by bridging software quality management and strategic management, can be used by software quality practitioners for effective results. The software development process is usually studied with regards to its functional aspects and the attempts to improve the quality and performance are mainly concentrated on the technical side. The developers, testers, or engineers search for solutions mostly directed toward a local problem specific to a unit, department, or code.

Название: Generative AI with Python: Harnessing The Power Of Machine Learning And Deep Learning To Build Creative And Intelligent Systems
Автор: Code Planet
Издательство: Code Planet
Год: 2025
Страниц: 305
Язык: английский
Формат: epub
Размер: 14.0 MB

The limitless potential of generative AI and transform your ideas into reality with Generative AI with Python! This comprehensive guide is your gateway to the fascinating world of Generative Artificial Intelligence, where creativity meets cutting-edge technology. Perfect for developers, data scientists, and AI enthusiasts, this book takes you on an exciting journey to master the art of building intelligent systems capable of creating text, images, music, and more. Python has emerged as the dominant programming language in AI development, including generative AI, due to its simplicity, versatility, and extensive ecosystem of libraries and frameworks. Whether you're crafting unique solutions for businesses, exploring creative pursuits, or simply diving into one of the most transformative technologies of our time, Generative AI with Python equips you with the knowledge and skills to stay ahead in this rapidly evolving field. Step into the future of AI innovation and start building systems that inspire and innovate today!

Название: The Hundred-Page Language Models Book: Hands-on with PyTorch
Автор: Andriy Burkov
Издательство: True Positive Inc. / Leanpub
Год: 2025-01-26
Страниц: 209
Язык: английский
Формат: pdf
Размер: 24.3 MB

Master language models through mathematics, illustrations, and code―and build your own from scratch! The Hundred-Page Language Models Book by Andriy Burkov, the follow-up to his bestselling The Hundred-Page Machine Learning Book, offers a concise yet thorough journey from language modeling fundamentals to the cutting edge of modern Large Language Models (LLMs). Within Andriy's famous "hundred-page" format, readers will master both theoretical concepts and practical implementations, making it an invaluable resource for developers, data scientists, and Machine Learning engineers. Written in a hands-on style with working Python code examples, this book progressively builds your understanding from basic machine learning concepts to advanced language model architectures. All code examples run on Google Colab, making it accessible to anyone with a modern laptop. Readers should have programming experience in Python. While familiarity with PyTorch and tensors is helpful, it's not required. College-level math knowledge is beneficial, but the book presents mathematical concepts intuitively with clear examples and diagrams.

Название: Ultimate Hyperledger Fabric for DeFi with Blockchain: Unlock the Power of Hyperledger Fabric and Ethereum to Create Secure, Scalable DeFi Applications on Blockchain
Автор: Shubham Jain
Издательство: Orange Education Pvt Ltd, AVA
Год: 2025
Страниц: 339
Язык: английский
Формат: epub (true)
Размер: 42.1 MB

Master Hyperledger Fabric for Decentralized Finance Solutions. Learning Hyperledger Fabric for DeFi is crucial as it empowers developers to create secure, scalable, and efficient blockchain-based systems, laying the foundation for the future of decentralized financial ecosystems. "Ultimate Hyperledger Fabric for DeFi with Blockchain" is a comprehensive guide that helps developers master the implementation of decentralized finance (DeFi) applications using Hyperledger Fabric and Ethereum. With a focus on decentralized applications (dApps), the book provides a detailed understanding of blockchain technologies, with hands-on examples that demonstrate how to leverage these tools in real-world DeFi ecosystems. Covering everything from fundamental blockchain concepts to advanced techniques, it supports both beginners and experienced developers in creating robust decentralized financial solutions. jаvascript is essential for building all sorts of things on the web, including interactive websites, apps for phones and computers, and managing tasks on servers. Node.js brings jаvascript to servers, allowing you to create powerful applications beyond just web browsers. Additionally, we will discuss Express, a helpful tool for building web servers and APIs, which can streamline development and allow you to focus more on enhancing user experience. By mastering these tools, we will be well-prepared to delve into blockchain development and explore its myriad possibilities.

Название: Ultimate AWS CDK for Infrastructure Automation: Extract the Full Potential of AWS CDK for Seamless Infrastructure Automation of Your Cloud with Practical Examples, Best Practices, and Expert Tips
Автор: Anish Kumar
Издательство: Orange Education Pvt Ltd, AVA
Год: 2025
Страниц: 278
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Transform IaC with AWS CDK to Simplify, Secure, and Scale Your Cloud. The AWS Cloud Development Kit (CDK) transforms infrastructure automation, empowering developers to simplify, optimize, and scale cloud operations. As cloud infrastructure plays a vital role in modern applications, mastering AWS CDK is a critical skill for developers and DevOps professionals. "Ultimate AWS CDK for Infrastructure Automation" equips you with practical skills to harness its full potential. This book introduces Infrastructure as Code (IaC) principles and AWS CDK fundamentals, guiding you through core concepts like stacks, constructs, environments, and resources. You'll learn to build multi-stack projects, configure CI/CD pipelines, and apply best practices for modular and reusable code. The AWS Cloud Development Kit (AWS CDK) is an open-source software development framework designed to define cloud infrastructure in code and provision it through AWS CloudFormation. Unlike traditional Infrastructure as Code (IaC) tools that use JSON or YAML, AWS CDK allows developers to use familiar high-level programming languages such as TypeScript, jаvascript, Python, Java, Go, and C#. This approach makes it easier to define cloud resources in a more expressive and programmatically rich way.

Название: Large Language Model via Rust: The State of the Art Open Foundational Models in Rust
Автор: Jaisy Malikulmulki Arasy, Evan Pradipta Hardinatha, Idham Hanif Multazam
Издательство: RantAI Academy
Год: January 6, 2025
Страниц: 133
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

"LMVR - Large Language Models via Rust" is a pioneering open-source project that bridges the power of foundational models with the robustness of the Rust programming language. It highlights Rust's strengths in performance, safety, and concurrency while advancing the state-of-the-art in AI. Tailored for students, researchers, and professionals, LMVR delivers a comprehensive guide to building scalable, efficient, and secure large language models. By leveraging Rust, this book ensures that cutting-edge research and practical solutions go hand-in-hand. Readers will gain in-depth knowledge of model architectures, training methodologies, and real-world deployments, all while mastering Rust's unique capabilities for AI development. This book serves as a comprehensive resource for learning about large language models and their implementation in Rust. Start with Part I to build a strong foundation in the mathematical and architectural aspects of LLMs. Progress through the chapters sequentially to understand advanced transformer architectures and practical applications.

Название: Hands-On AI Trading with Python, QuantConnect, and AWS
Автор: Jiri Pik, Ernest Chan, Philip Sun, Vivek Singh, Jared Broad
Издательство: Wiley
Год: 2025
Страниц: 416
Язык: английский
Формат: True/Retail EPUB
Размер: 27.9 MB

Master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance. Hands-On AI Trading with Python, QuantConnect, and AWS explores real-world applications of AI technologies in algorithmic trading. It provides practical examples with complete code, allowing readers to understand and expand their AI toolbelt. Unlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilizes QuantConnect, providing access to key market data from Algoseek and others. Examples are available on the book's GitHub repository, written in Python, and include performance tearsheets or research Jupyter notebooks. Integrate AI into your next algorithmic trading strategy with Hands-On AI Trading with Python, QuantConnect, and AWS.

Название: Principles of Machine Learning: The Three Perspectives
Автор: Wenmin Wang
Издательство: Springer
Год: 2025
Страниц: 548
Язык: английский
Формат: pdf (true), epub
Размер: 39.5 MB

Conducting an in-depth analysis of Machine Learning, this book proposes three perspectives for studying Machine Learning: the learning frameworks, learning paradigms, and learning tasks. With this categorization, the learning frameworks reside within the theoretical perspective, the learning paradigms pertain to the methodological perspective, and the learning tasks are situated within the problematic perspective. Throughout the book, a systematic explication of Machine Learning principles from these three perspectives is provided, interspersed with some examples. This book provides a multi-dimensional and systematic interpretation of Machine Learning, rendering it suitable as a textbook reference for senior undergraduates or graduate students pursuing studies in Artificial Intelligence, Machine Learning, Data Science, Computer Science, and related disciplines. Additionally, it serves as a valuable reference for those engaged in scientific research and technical endeavors within the realm of Machine Learning.

Название: Artificial Neural Networks: Alpha Unpredictability and Chaotic Dynamics
Автор: Marat Akhmet, Madina Tleubergenova, Akylbek Zhamanshin, Zakhira Nugayeva
Издательство: Springer
Год: 2025
Страниц: 256
Язык: английский
Формат: pdf (true), epub
Размер: 52.9 MB

Mathematical chaos in neural networks is a powerful tool that reflects the world’s complexity and has the potential to uncover the mysteries of the brain’s intellectual activity. Through this monograph, the authors aim to contribute to modern chaos research, combining it with the fundamentals of classical dynamical systems and differential equations. The readers should be reassured that an in-depth understanding of chaos theory is not a prerequisite for working in the area designed by the authors. Those interested in the discussion can have a basic understanding of ordinary differential equations and the existence of bounded solutions of quasi-linear systems on the real axis. The methods and results presented in this book are meant to benefit senior researchers, engineers, and specialists working in artificial neural networks, machine and deep learning, computer science, quantum computers, and applied and pure mathematics. This broad applicability underscores the value and relevance of this research area to a large academic community and the potential impact it can have on various fields.

Название: Causal Inference for Data Science (Final Release)
Автор: Aleix Ruiz de Villa Robert
Издательство: Manning Publications
Год: 2025
Страниц: 392
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and Machine Learning. A/B tests or randomized controlled trials are expensive and often unfeasible in a business environment. Causal Inference for Data Science reveals the techniques and methodologies you can use to identify causes from data, even when no experiment or test has been performed. It’s possible to predict events without knowing what causes them. Understanding causality allows you both to make data-driven predictions and also intervene to affect the outcomes. Causal Inference for Data Science shows you how to build Data Science tools that can identify the root cause of trends and events. You’ll learn how to interpret historical data, understand customer behaviors, and empower management to apply optimal decisions. Why did you get a particular result? What would have lead to a different outcome? These are the essential questions of causal inference. This powerful methodology improves your decisions by connecting cause and effect—even when you can’t run experiments, A/B tests, or expensive controlled trials. For data scientists, ML engineers, and statisticians.