|
 |
|
 |
|
|
 |
|  |
|
 Название: Generative AI For Executives: A Strategic Roadmap for Your Organization
Автор: Ahmed Bouzid, Paolo Narciso, Weiye Ma
Издательство: Apress
Год: 2024
Страниц: 194
Язык: английский
Формат: pdf (true), epub (true), rtf, mobi
Размер: 10.1 MB
In the fast-evolving digital landscape, understanding the potential of generative AI is a strategic advantage. This book can serve as an easy to read introduction to the topic of the transformative power of AI in content creation, customer engagement, and operational efficiency. By deciphering complex AI concepts into practical insights, we empower decision-makers to envision innovative strategies, foster cross-industry collaborations, and navigate ethical considerations. The book will help executives and business decision makers to harness the immense potential of generative AI responsibly, ensuring data integrity and compliance while fostering a competitive edge. The book is focused on (1) Explaining in jargon-free language what Generative AI, and AI in general, (2) What problems they solve, and (3) What technologies make them possible. | |
Разместил: Ingvar16 Сегодня, 14:48 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
|
|
|
|
|
|
| |
|
 Название: Machine Learning in Transportation: Applications with Examples and Codes
Автор: Niharika Dayyala, Nivedya Madankara Kottayi, Rajib Basu Mallick
Издательство: De Gruyter
Год: 2025
Страниц: 172
Язык: английский
Формат: pdf (true), epub
Размер: 47.7 MB
The book introduces the reader to Machine Learning in transportation. It discusses both simple and advanced concepts including core statistics, data wrangling, data visualization, supervised and unsupervised datamining techniques as well as text mining. The book prepares students to manage data, visualize data and apply appropriate Machine Learning techniques on transportation datasets to derive important insights. - State-of-the-art techniques in Machine Learning; - Applications in transportation engineering; - Includes MATLAB and Python codes. Deep Learning is a subset of Machine Learning, a subset of Artificial Intelligence (AI). In Deep Learning, the applicable concept is that the algorithm extracts the features based on which it can classify or regress, rather than the user having to specify them. The goal of the ANN is to output a function that matches the output, as given by the training data. | |
Разместил: Ingvar16 Сегодня, 05:45 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Industrial Quantum Computing: Algorithms, Blockchains, Industry 4.0
Автор: Umesh Kumar Lilhore, Surjeet Dalal, Vishal Dutt, Magdalena Radulescu
Издательство: De Gruyter
Серия: Quantum Computing
Год: 2025
Страниц: 294
Язык: английский
Формат: pdf (true), epub
Размер: 17.9 MB
"Industrial Quantum Computing" (IQC) covers the applications of Quantum Computing innovations in general industry and industry 4.0. This book presents the application of quantum computations to the financial sector, medical services, the logistics industry, and the manufacturing industry. There are a lot of different computer programs that are being made and used in almost every area of life and study. As the number and complexity of problems rise, computers need more power, faster speeds, and better results. Quantum computers, based on ideas from quantum physics, were made to get around these problems. Quantum computers were created because of the need for faster computing. This was possible using quantum bits instead of regular bits, which keep 1 and 0 in a superposition state. This chapter briefly explains quantum computing and the ideas that make it work. This piece also talks about problems and trends with quantum technology. The big effects of Quantum Machine Learning (QML) are also talked about. In this cutting-edge field, QML is getting more attention. This chapter looks at different areas where study into quantum computing is missing and offers possible answers. Recently, details were given about many uses for Quantum Computing. | |
Разместил: Ingvar16 Вчера, 19:39 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: AI Integration in Software Development and Operations: Transformation Through AI Infusion in Devops, Testing, and SRE
Автор: Abhinav Krishna, Vamshidhar Meda
Издательство: Apress
Год: 2024
Страниц: 314
Язык: английский
Формат: pdf
Размер: 10.1 MB
Discover how Artificial Intelligence (AI) is transforming the fields of software development, testing, and IT operations by enhancing efficiency, reducing human error, and accelerating processes. This book showcases the practical applications of AI-driven tools, such as automating coding, testing, and operational tasks, predicting potential issues, and optimizing performance. Aimed at digital leaders, practitioners, and customers, this book provides strategic insights and actionable guidance on how to integrate AI technologies to boost productivity, enhance product quality, and streamline development cycles. It serves as a comprehensive guide for those looking to leverage AI to drive innovation, cut costs, and stay competitive in an ever-evolving technological landscape. This book presents a collection of real-world use cases in which AI plays a critical role in improving the efficiency, scalability, and quality of these processes. For software engineers, developers, programmers, DevOps engineers, and AI practitioners who are interested in integrating AI into their DevOps practices. | |
Разместил: Ingvar16 Вчера, 17:49 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 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. | |
Разместил: Ingvar16 Вчера, 17:15 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 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. | |
Разместил: Ingvar16 Вчера, 08:48 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 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. | |
Разместил: Ingvar16 Вчера, 06:15 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 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. | |
Разместил: Ingvar16 Вчера, 04:22 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 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. | |
Разместил: Ingvar16 19-12-2024, 22:39 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 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. | |
Разместил: Ingvar16 19-12-2024, 18:46 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
Навигация
Вход на сайт
Реклама
