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Название: Real-World Java: Helping You Navigate the Java Ecosystem
Автор: Victor Grazi, Jeanne Boyarsky
Издательство: Wiley
Год: 2025
Страниц: 523
Язык: английский
Формат: epub (true)
Размер: 28.5 MB

A concise handbook for the most common tools used in modern Java development. Good Java developers learn Java syntax, how to create loops and switches, and can work out a lambda filter stream. But great Java developers need to understand the vast ecosystem of tools and frameworks for collaboration, testing, building, and more. In Real-World Java: Helping You Navigate the Java Ecosystem, a team of veteran Java developers delivers a concise and authoritative discussion of the most common frameworks, tools, and techniques used in enterprise Java development shops. The authors provide just enough background and examples to allow you to dive right into the expert guidance on annotations, logging frameworks, observability, performance tuning, testing tools, and collaboration, that real-life commercial Java development typically relies on. You’ll expand your Java development toolkit with frameworks and utilities like Spring, Git, Prometheus, and Project Lombok. You’ll also discover links to tested, downloadable code examples that demonstrate the skills discussed in the book.

Название: Ultimate Generative AI Solutions on Google Cloud: Practical Strategies for Building and Scaling Generative AI Solutions with Google Cloud Tools, Langchain, RAG, and LLMOps
Автор: Arun Pandey
Издательство: Orange Education Pvt Ltd, AVA
Год: 2025
Страниц: 349
Язык: английский
Формат: epub (true)
Размер: 20.2 MB

Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud! Generative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. The Ultimate Generative AI Solutions on Google Cloud is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational Machine Learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions. The Chapter 1 provides a comprehensive overview of Machine Learning and its various types, from supervised to unsupervised and reinforcement learning. It delves into transformer models, which have reshaped AI development, particularly in natural language processing, and explores the growing domain of generative AI. The chapter also introduces foundation models and model hubs, critical tools for building advanced AI applications. Finally, we will outline the life cycle of generative AI and demonstrate how to leverage Google Cloud’s tools and infrastructure to develop scalable, AI-driven solutions.

Название: Python, Django, Data Science
Автор(ы): Протодьяконов А.В., Пылов П.А., Майтак Р.В.
Издательство: Инфра-Инженерия
Год: 2025
Страниц: 518
Формат: PDF
Размер: 36 Мб
Язык: русский

Показаны основы работы на Python, а также два его основных ответвления – веб-разработка на Django и область прикладного искусственного интеллекта, являющаяся частью Data Science.
Для студентов и сотрудников высших технических учебных заведений, а также специалистов прикладной сферы анализа данных.

Название: Artificial Intelligence for Design and Process Science
Автор: Sang C. Suh
Издательство: Springer
Год: 2025
Страниц: 203
Язык: английский
Формат: pdf (true), epub
Размер: 38.4 MB

This book provides a focused overview of what role Artificial Intelligence (AI) plays on the design and process of system development and perspectives on making it more and more relevant and beneficial for our society. It covers topics like large language models, Generative AI, intelligenticism, communication dynamics representation, feature selection, smart design and social wellbeing, and it demonstrates the general applicability of AI to various problems in transdisciplinary domains. Through the integration of neural networks, sentence transformers, and PyTorch, the AI-driven chatbot boasts a robust foundation for effectively addressing user queries. These technologies enable the chatbot to understand and respond intelligently to a diverse range of inquiries ensuring accuracy and efficiency in delivering information. By combining the power of Artificial Intelligence with the state-of-the-art natural language processing techniques, this chatbot serves as a valuable resource offering users a seamless and informative experience as they explore the dynamic and promising landscape of Computer Science education and careers.

Название: Basics of Python Programming: A Quick Guide for Beginners
Автор: Krishna Kumar Mohbey, Malika Acharya
Издательство: Bentham Books
Год: 2023
Страниц: 281
Язык: английский
Формат: pdf (true)
Размер: 55.9 MB

Basics of Python Programming: A Quick Guide for Beginners is an essential companion to mastering the Python programming language. The book presents information about Python in 12 structured chapters with a strong emphasis on fundamentals and practical information. Starting with basic operators, functions and expressions, contents explain file handling, exception handling and modules. The book concludes with advanced topics such as object oriented programming and Machine Learning. Our primary goal in writing this book is to provide an approachable resource for beginners new to programming or with limited coding experience. We understand that learning a programming language can be intimidating, especially for those starting from scratch. With "Basics of Python Programming: A Quick Guide for Beginners", we have consciously designed the content to be beginner-friendly, focusing on simplicity and clarity of explanations.

Название: Applied Statistics with Python Volume I: Introductory Statistics and Regression
Автор: Leon Kaganovskiy
Издательство: CRC Press
Год: 2025
Страниц: 320
Язык: английский
Формат: pdf (true), epub
Размер: 16.6 MB

Applied Statistics with Python: Volume I: Introductory Statistics and Regression concentrates on applied and computational aspects of statistics, focusing on conceptual understanding and Python-based calculations. Based on years of experience teaching introductory and intermediate Statistics courses at Touro University and Brooklyn College, this book compiles multiple aspects of applied statistics, teaching the reader useful skills in statistics and computational science with a focus on conceptual understanding. This book does not require previous experience with statistics and Python, explaining the basic concepts before developing them into more advanced methods from scratch. Applied Statistics with Python is intended for undergraduate students in business, economics, biology, social sciences, and natural science, while also being useful as a supplementary text for more advanced students.

Название: Artificial Intelligence for Engineers: Basics and Implementations
Автор: Zhen "Leo" Liu
Издательство: Springer
Год: 2025
Страниц: 441
Язык: английский
Формат: pdf (true)
Размер: 34.0 MB

This book presents basic knowledge and essential toolsets needed for people who want to step into Artificial Intelligence (AI). The book is especially suitable for those college students, graduate students, instructors, and IT hobbyists who have an engineering mindset. That is, it serves the idea of getting the job done quickly and neatly with an adequate understanding of why and how. It is designed to allow one to obtain big pictures for both AI and essential AI topics within the shortest amount of time. Based on the picture(s), suitable amounts of theoretical knowledge are contextualized to help the learner gain information about the most essential concepts and algorithms. These algorithms are introduced and formulated in a way that the learner can easily implement them for real-world applications with a small amount of effort. In short, you read it, you understand it, you try it, and you can solve it. This book, though titled Artificial Intelligence, is mostly devoted to numeric AI represented by Machine Learning algorithms, which predominate the so-called third wave/tide of AI. The most common and useful ML topics are selected and introduced.

Название: Maths For Computing: A Beginner's Guide
Автор: Quentin Charatan, Aaron Kans
Издательство: Springer
Серия: Undergraduate Topics in Computer Science
Год: 2025
Страниц: 225
Язык: английский
Формат: pdf (true), epub
Размер: 23.5 MB

This introductory textbook covers all the mathematical concepts necessary for a computing degree, limiting coverage only to the material needed for the fundamentals of computing rather than delving into the higher mathematical concepts. The book is written for students embarking on an undergraduate or foundation degree course in Computer Science (or related discipline) and aims to provide the basic skills and knowledge of discrete mathematics required for such a course. Whereas many textbooks tend to teach this subject in a way that is more suitable for mathematicians, this text specifically targets first-year students on computing courses and aims to teach only the basic material that they will need for their computing degree.

Название: Natural Language Processing for Software Engineering
Автор: Rajesh Kumar Chakrawarti, Ranjana Sikarwar, Sanjaya Kumar Sarangi, Samson Arun Raj Albert Raj
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 525
Язык: английский
Формат: pdf (true)
Размер: 55.5 MB

The book’s goal is to discuss the most current trends in applying natural language processing (NLP) approaches. It makes the case that these areas will continue to develop and merit contributions. The book focusses on software development that is based on visual modelling, is object-orientated, and is one of the most significant development paradigms today. To reduce issues throughout the documentation process, there are still a few considerations to make. To assist developers in their documentation tasks, a few aids have been developed. To aid with the documentation process, a variety of related tools (such as assistants) may be made using Natural Language Processing (NLP). The book is focused on software development and operation using data mining, informatics, Big Data analytics, Artificial Intelligence (AI), Machine Learning (ML), digital image processing, the Internet of Things (IoT), cloud computing, computer vision, cyber security, Industry 4.0, and health informatics domains.

Название: Handbook of Artificial Intelligence
Автор: Dumpala Shanthi, B. Madhuravani, Ashwani Kumar
Издательство: Bentham Books
Год: 2023
Страниц: 297
Язык: английский
Формат: pdf (true), epub
Размер: 62.2 MB

Artificial Intelligence (AI) is an interdisciplinary science with multiple approaches to solve a problem. Advancements in Machine Learning (ML) and Deep Learning are creating a paradigm shift in virtually every tech industry sector. This handbook provides a quick introduction to concepts in AI and ML. The sequence of the book contents has been set in a way to make it easy for students and teachers to understand relevant concepts with a practical orientation. This book starts with an introduction to AI/ML and its applications. Subsequent chapters cover predictions using ML, and focused information about AI/ML algorithms for different industries. Each industry use-case demonstrates a specific aspect of AI/ML techniques that can be used to create pipelines for technical solutions such as data processing, object detection, classification and more. Additional features of the book include a summary and references in every chapter, and several full-color images to visualize concepts for easy understanding. It is an ideal handbook for both students and instructors in undergraduate level courses in Artificial Intelligence, Data Science, engineering and Computer Science who are required to understand AI/ML in a practical context.