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Название: Software Testing with Generative AI (Final Release)
Автор: Mark Winteringham
Издательство: Manning Publications
Год: 2025
Страниц: 304
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.5 MB

Speed up your testing and deliver exceptional product quality with the power of AI tools. The more you test, the more you learn about your software. Software Testing with Generative AI shows you how you can expand, automate, and enhance your testing with Large Language Model (LLM)-based AI. Your team will soon be delivering higher quality tests, all in less time. Software Testing with Generative AI is full of hype-free advice for supporting your software testing with AI. Software Testing with Generative AI shows you how AI can elevate every aspect of testing—automation, test data management, test scripting, exploratory testing, and more! Learn how to use AI coding tools like Copilot to guide test-driven development, get relevant feedback about your applications from ChatGPT, and use the OpenAI API to integrate AI into your data generation. You’ll soon have higher-quality testing that takes up less of your time. If you are looking to learn how LLMs can support test automation, then it is assumed you are familiar with it. This means you should have at least basic experience with TDD and intermediate experience with unit, integration, and end-to-end test automation, as well as using integrated development environments. The code examples in this book are written in Java, so you will need to be confident in reading and writing Java.

Название: Statistics with R: A Beginner′s Guide, 2nd Edition
Автор: Robert Stinerock
Издательство: SAGE Publications Ltd
Год: 2023
Страниц: 448
Язык: английский
Формат: epub (true)
Размер: 20.1 MB

Statistics is made simple with this award-winning guide to using R and applied statistical methods. With real-world examples and a step-by-step approach, this book provides the practical skills students need to use statistical methods in their research. Hands-on exercises and online resources created by the author allow students to practice their skills using the data sets and R scripts from the book with detailed screencasts that accompany each script. There are two notable changes to the second edition that require a word of explanation. First, we extend and deepen the coverage of Bayesian methods across most of chapters of the book. The second notable change to this edition lies the tight coordination between (a) the screencasts and scripts that can be found on the website and (b) the examples and images that are found in the book itself.

Название: Microsoft Certified Azure Developer Associate (AZ-204) Study Guide: In-Depth Guidance and Practice (Early Release)
Автор: Adora Nwodo
Издательство: O’Reilly Media, Inc.
Год: 2024-12-18
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

Given the scalability, flexibility, and resilience that the cloud offers, technology companies around the world are transitioning to cloud computing. This paradigm shift has created an unprecedented demand for professionals equipped with the skills to design and implement cloud solutions. Today, one of the cloud platforms most often adopted is Microsoft Azure. The Microsoft Certified Azure Developer Associate Study Guide is your comprehensive resource for mastering the competencies required to design, develop, and deploy secure and scalable Azure architectures tailored to your organization's needs. Beyond its impact on your resume, this guide empowers you with the confidence to excel as a Microsoft Certified Azure Developer Associate. Developers should have a blend of cloud specific skills and programming knowledge. This means understanding programming languages like C#, TypeScript, or Python, and also understanding Azure SDKs, APIs, and development tools like Visual Studio and Azure DevOps.

Название: The Python Application Architect's Cookbook: Building Real-World Apps with Practical Code Transforming Code into Applications
Автор: Furuta Kimiko
Издательство: Independently published
Год: 2024
Страниц: 295
Язык: английский
Формат: epub
Размер: 12.4 MB

Transform your Python code into robust, scalable applications with this indispensable guide. Designed for architects and developers alike, this cookbook offers a wealth of practical recipes and patterns to tackle the complexities of real-world application development. Delve into the art and science of Python application architecture as you master essential techniques for designing, building, and deploying efficient, maintainable systems. From microservices and cloud-native architectures to data pipelines and machine learning models, this book provides expert guidance on crafting solutions that deliver exceptional performance and reliability. With a focus on practical implementation, each recipe offers clear explanations, code examples, and best practices to help you make informed architectural decisions. Learn how to optimize performance, ensure security, and scale your applications to meet growing demands. Whether you're building enterprise-grade systems or innovative startups, The Python Application Architect's Cookbook is your essential companion for turning code into powerful, real-world applications.

Название: Artificial Intelligence and Machine Learning Applications for Sustainable Development
Автор: A.J. Singh, Nikita Gupta, Sanjay Kumar, Sumit Sharma, Subho Upadhyay, Sandeep Kumar
Издательство: CRC Press
Год: 2025
Страниц: 370
Язык: английский
Формат: pdf (true), epub
Размер: 16.8 MB

The book highlights how technologies including Artificial Intelligence and Machine Learning are transforming renewable energy technologies and enabling the development of new solutions. It further discusses how smart technologies are employed to optimize energy production and storage, enhance energy efficiency, and improve the overall sustainability of energy systems. The fundamental goal of this book is to provide a comprehensive guide to help readers understand the technology under the complex field of sustainable development with their real-world challenges due to its growing significance and demand. These developments have opened up new research, innovation, and exploration avenues. In recent years, the fields of Artificial Intelligence (AI) and Machine Learning (ML) have surged to the forefront of innovation, presenting unparalleled opportunities to address the pressing challenges of sustainable development. This book, Artificial Intelligence and Machine Learning Applications for Sustainable Development, curated by experts in the field, offers a comprehensive exploration of how these technologies can be harnessed to catalyze positive change.

Название: Learning Algorithms for Internet of Things: Applying Python Tools to Improve Data Collection Use for System Performance
Автор: G.R. Kanagachidambaresan, N. Bharathi
Издательство: Apress
Год: 2024
Страниц: 304
Язык: английский
Формат: pdf
Размер: 10.1 MB

The advent of Internet of Things (IoT) has paved the way for sensing the environment and smartly responding. This can be further improved by enabling intelligence to the system with the support of machine learning and deep learning techniques. This book describes learning algorithms that can be applied to IoT-based, real-time applications and improve the utilization of data collected and the overall performance of the system. Many societal challenges and problems can be resolved using a better amalgamation of IoT and learning algorithms. "Smartness" is the buzzword that is realized only with the help of learning algorithms. In addition, it supports researchers with code snippets that focus on the implementation and performance of learning algorithms on IoT based applications such as healthcare, agriculture, transportation, etc. These snippets include Python packages such as Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, and more. Learning Algorithms for Internet of Things provides you with an easier way to understand the purpose and application of learning algorithms on IoT.

Название: Building Scalable Deep Learning Pipelines on AWS: Develop, Train, and Deploy Deep Learning Models
Автор: Abdelaziz Testas
Издательство: Apress
Год: 2024
Страниц: 749
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This book is your comprehensive guide to creating powerful, end-to-end Deep Learning workflows on Amazon Web Services (AWS). The book explores how to integrate essential Big Data tools and technologies - such as PySpark, PyTorch, TensorFlow, Airflow, EC2, and S3 - to streamline the development, training, and deployment of Deep Learning models. Starting with the importance of scaling advanced Machine Learning models, this book leverages AWS's robust infrastructure and comprehensive suite of services. It guides you through the setup and configuration needed to maximize the potential of Deep Learning technologies. You will gain in-depth knowledge of building Deep Learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment. The book provides insights into setting up an AWS environment, configuring necessary tools, and using PySpark for distributed data processing. You will also delve into hands-on tutorials for PyTorch and TensorFlow, mastering their roles in building and training neural networks.

Название: The AI Glossary: Demystifying 101 Essential Artificial Intelligence Terms for Everyone
Автор: Richard R. Khan
Издательство: CRC Press
Год: 2025
Страниц: 238
Язык: английский
Формат: pdf (true), epub
Размер: 44.1 MB

Embark on a journey of clarity and discovery with "THE AI GLOSSARY: Demystifying 101 Essential Artificial Intelligence Terms for Everyone." In a world increasingly powered by AI and ML, understanding these technologies is no longer a luxury but a necessity. This book stands as your guide through the complex terrain of Artificial Intelligence (AI) terms, transforming the intricate into the accessible. Crafted with precision and insight, each term is unraveled not just through definitions but through engaging narratives that connect deeply with real-world applications. From the foundational concepts of "Artificial Intelligence" and "Machine Learning" to the cutting-edge innovations of "ChatGPT" and "DALL-E," this glossary is designed to enlighten, inspire, and empower. Whether you're a student embarking on your studies, a professional seeking to broaden your horizon, or a curious mind eager to understand the technologies shaping our future, "THE AI GLOSSARY" is your indispensable companion. Let this book be your beacon, illuminating the path to a deeper understanding of the language of AI and ML, and inviting you to partake in the wonders of this revolutionary domain.

Название: Essential Data Analytics, Data Science, and AI: A Practical Guide for a Data-Driven World
Автор: Maxine Attobrah
Издательство: Apress
Год: 2024
Страниц: 209
Язык: английский
Формат: pdf
Размер: 10.1 MB

In today's world, understanding data analytics, Data Science, and Artificial Intelligence is not just an advantage but a necessity. This book is your thorough guide to learning these innovative fields, designed to make the learning practical and engaging. The book starts by introducing data analytics, Data Science, and Artificial Intelligence (AI). It illustrates real-world applications, and, it addresses the ethical considerations tied to AI. It also explores ways to gain data for practice and real-world scenarios, including the concept of synthetic data. Next, it uncovers Extract, Transform, Load (ETL) processes and explains how to implement them using Python. Further, it covers Artificial Intelligence and the pivotal role played by Machine Learning models. Python is currently one of the most popular programming languages for completing Artificial Intelligence and Data Science tasks. This is the case because of its easy-to-read syntax, extensive libraries, strong compatibility with cross-platforms, and strong community support. This makes it easier for beginners and experienced programmers to write and understand code and encourages faster development and collaboration.

Название: Machine Learning in Farm Animal Behavior using Python
Автор: Natasa Kleanthous, Abir Hussain
Издательство: CRC Press
Год: 2025
Страниц: 412
Язык: английский
Формат: pdf (true), epub
Размер: 28.5 MB

This book is a comprehensive guide to applying Machine Learning to animal behavior analysis, focusing on activity recognition in farm animals. It begins by introducing key concepts of animal behavior and ethology, followed by an exploration of Machine Learning techniques, including supervised, unsupervised, semi-supervised, and reinforcement learning. The practical section covers essential steps like data collection, preprocessing, exploratory data analysis, feature extraction, model training, and evaluation, using Python. The book emphasizes the importance of high-quality data and discusses various sensors and annotation methods for effective data collection. It addresses key Machine Learning challenges such as generalization and data issues. Advanced topics include feature selection, model selection, hyperparameter tuning, and Deep Learning algorithms. Practical examples and Python implementations are provided throughout, offering hands-on experience for researchers, students, and professionals aiming to apply Machine Learning to animal behavior analysis.