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  • Добавил: literator
  • Дата: 8-11-2023, 15:36
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Название: Agile Software Development
Автор: Peter Wlodarczak
Издательство: CRC Press
Серия: IT Pro Practice Notes
Год: 2024
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Agile Software Development is an introduction to agile software development methods. Agile methods try to diminish complexity, increase transparency, and reach a deployable product in a shorter time frame. Agile methods use an iterative and incremental approach to minimize risks and to avoid maldevelopment. The book gives a short introduction to agile methods and agile software development principles. It serves as a study book and as a reference manual. Based on the official Scrum Guide, the book also covers other topics such as best practices for agile software development and agile testing. It targets practitioners who want to start with agile software development, as well as developers or project managers who already use Agile methodologies. The book can be read from the beginning, but each chapter has been written in a way so it can be read individually.
  • Добавил: literator
  • Дата: 8-11-2023, 07:13
  • Комментариев: 0
Название: The Art of Machine Learning: A Hands-On Guide to Machine Learning with R
Автор: Norman Matloff
Издательство: No Starch Press
Год: 2024
Страниц: 272
Язык: английский
Формат: epub (true), mobi
Размер: 22.9 MB

Machine Learning without advanced math! This book presents a serious, practical look at Machine Learning, preparing you for valuable insights on your own data. The Art of Machine Learning is packed with real dataset examples and sophisticated advice on how to make full use of powerful machine learning methods. Readers will need only an intuitive grasp of charts, graphs, and the slope of a line, as well as familiarity with the R programming language. You’ll become skilled in a range of Machine Learning methods, starting with the simple k-Nearest Neighbors method (k-NN), then on to random forests, gradient boosting, linear/logistic models, support vector machines, the LASSO, and neural networks.Final chapters introduce text and image classification, as well as time series. You’ll learn not only how to use Machine Learning methods, but also why these methods work, providing the strong foundational background you’ll need in practice.
  • Добавил: SCART56
  • Дата: 8-11-2023, 06:14
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Название: Серия "Программисту" в 11 книгах +1CD
Автор(ы): разные
Издательство: Бином. ЛЗ
Год: 2005-2021
Страниц: 1000+
Формат: pdf, djvu
Размер: 222 Мб
Язык: русский

В этой серии представлены книги, посвященные вопросам программирования практически на всех существующих языках под различные платформы и операционные системы. Также вы найдете массу информации по администрированию, работе с графикой использованию и настройке ОС, а также учебники по программированию, компоненты, исходники программ.
  • Добавил: literator
  • Дата: 7-11-2023, 20:54
  • Комментариев: 0
Название: Kubernetes Fundamentals: A Step-by-Step Development and Interview Guide
Автор: Himanshu Agrawal
Издательство: Apress
Год: 2023
Страниц: 446
Язык: английский
Формат: pdf, epub
Размер: 19.6 MB

Explore the world of Kubernetes and learn the concepts needed to develop, deploy, and manage applications on this container orchestrator. This step-by-step development guide is designed for application developers and support members aiming to learn Kubernetes and/or prepare for interviews. All the concepts in the book are presented in Q&A format, with questions framed exactly the way they are asked in an interview, giving you a distinctive edge in interviews. You’ll start by understanding how application development and deployment have evolved over the decades leading up to containerization. You’ll then dive deep into core Kubernetes concepts, learning Kubernetes architecture, Kubernetes objects and workload resources, and how to exploit them to their full potential. You’ll also learn Kubernetes deployment strategies and concepts related to rollout and rollback.
  • Добавил: literator
  • Дата: 7-11-2023, 15:28
  • Комментариев: 0
Название: Practical GraphQL: Learning Full-Stack GraphQL Development with Projects
Автор: Nabendu Biswas
Издательство: Apress
Год: 2023
Страниц: 270
Язык: английский
Формат: pdf
Размер: 10.1 MB

Master the query language that is revolutionizing how websites are developed and built. This book is a hands-on guide to GraphQL, and will teach you how to use this open source tool to develop and deploy applications quickly and with minimal fuss. Using a project-based approach, you'll learn how to use GraphQL from the ground up. You'll start with the basics, including set up and key details regarding queries and mutations, before moving on to more advanced topics and projects. Over the course of the book, you will gain a thorough understanding of the web development ecosystem from frontend to backend by building React applications using Prisma Apollo Client and MongoDB. After completing this book, you'll be equipped with the knowledge and skills needed to turbo charge your own enterprise projects.
  • Добавил: literator
  • Дата: 7-11-2023, 11:31
  • Комментариев: 0
Название: Distant Viewing: Computational Exploration of Digital Images
Автор: Taylor Arnold, Lauren Tilton
Издательство: The MIT Press
Год: 2023
Страниц: 287
Язык: английский
Формат: pdf (true)
Размер: 39.9 MB

A new theory and methodology for the application of computer vision methods to the computational analysis of collected, digitized visual materials, called “distant viewing.” Distant Viewing: Computational Exploration of Digital Images presents a new theory and methodology for the computational analysis of digital images, offering a lively, constructive critique of computer vision that you can actually use. What does it mean to say that computer vision “understands” visual inputs? Annotations never capture a whole image. The way digital images convey information requires what researchers Taylor Arnold and Lauren Tilton call “distant viewing”—a play on the well-known term “distant reading” from computational literary analysis.
  • Добавил: ekvator
  • Дата: 7-11-2023, 10:50
  • Комментариев: 0
Искусство Agile-разработки. Теория и практика гибкой разработки ПО
Название: Искусство Agile-разработки. Теория и практика гибкой разработки ПО
Автор: Шор Джеймс, Уорден Шэйн
Издательство: Питер
Год: 2024
Формат: pdf
Страниц: 624
Размер: 17,8 Мб
Язык: русский

Большинство компаний, разрабатывающих ПО, якобы используют Agile, но на самом деле не понимают, что это такое Agile. Хотите повысить гибкость своей команды? В книге вы найдете четкие, конкретные и подробные рекомендации о том, что, как и почему следует делать, а когда стоит пойти на компромиссы. Джеймс Шор предлагает реальные решения по освоению, планированию, разработке и управлению, основанные на более чем двадцатилетнем опыте Agile. Он объединяет актуальные идеи экстремального программирования, Scrum, Lean, DevOps и многих других в единое целое. Узнайте, как успешно внедрить гибкую разработку в вашей команде и организации, или разберитесь, почему Agile вам не подходит.
  • Добавил: literator
  • Дата: 7-11-2023, 08:32
  • Комментариев: 0
Название: Practical Java Programming with ChatGPT: Develop, Prototype and Validate Java Applications by integrating OpenAI API and leveraging Generative AI and LLMs
Автор: Alan S. Bluck
Издательство: Orange Education Pvt Ltd, AVA
Год: 2023
Страниц: 428
Язык: английский
Формат: epub (true)
Размер: 13.7 MB

How to use ChatGPT to write fast validated Java code. Embark on a Fascinating Journey into AI-Powered Software Development with ChatGPT. This transformative book challenges the conventional speed of software development by showcasing a diverse array of inquiries directed at cutting-edge AI tools, including Ask AI, ChatGPT 3.5, Perplexity AI, Microsoft Bing Chatbot based on ChatGPT 4.0, and the Phed mobile app. Diving deep into the integration of Java and ChatGPT, this book provides readers with a comprehensive understanding of their synergy in programming. Each carefully crafted question serves as a testament to ChatGPT's exceptional ability to swiftly generate Java programs.
  • Добавил: literator
  • Дата: 7-11-2023, 07:23
  • Комментариев: 0
Название: AI Chatbots: The Good, The Bad, and The Ugly
Автор: James Crowder
Издательство: Springer
Серия: Synthesis Lectures on Engineering, Science, and Technology
Год: 2024
Страниц: 162
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The world is at a crossroads on its use of Artificial Intelligence (or what passes for Artificial Intelligence). The use of Chatbots in our everyday lives is exponentially increasing with every passing year with widely varied results. What are the overall effects (both good and bad) of turning over more and more of our work to Chatbots acting as our “digital assistants?” Here we will explore these questions and many more as we delve into the human experience and our need to communicate with truly impartial, emotion challenged, digital entities (Chatbots). There are no easy answers to the possible benefits and dangers of the proliferation of Chatbots, but here we present information to get the dialog going. Artificial Intelligent systems are becoming commonplace in everyday life now. Daily, people must interface with artificially intelligent systems, textually, verbally, and visually as an increasing number of systems require human/system interactions. We’ve probably all experienced issues between people over seemingly simple texts that are somehow easily misinterpreted because of all the noticeably absent non-verbal context (emotions). There are many online avatars or “Chatbots” available now. This includes online Chatbots like Replika, ChatGPT, and others.
  • Добавил: literator
  • Дата: 7-11-2023, 06:33
  • Комментариев: 0
Название: Model-Based Machine Learning
Автор: John Winn
Издательство: CRC Press
Год: 2024
Страниц: 428
Язык: английский
Формат: pdf (true)
Размер: 30.8 MB

Today, Machine Learning (ML) is being applied to a growing variety of problems in a bewildering variety of domains. When doing machine learning, a fundamental challenge is connecting the abstract mathematics of a particular Machine Learning technique to a concrete, real-world problem. This book tackles this challenge through model-based Machine Learning. Model-based Machine Learning is an approach which focuses on understanding the assumptions encoded in a ML system, and their corresponding impact on the behaviour of the system. The practice of model-based ML involves separating out these assumptions being made about a real-world situation from the detailed mathematics of the algorithms needed to do the ML. This approach makes it easier to both understand the behaviour of a ML system and to communicate this to others.