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Название: Foundations of Computer Vision
Автор: Antonio Torralba, Phillip Isola, William T. Freeman
Издательство: The MIT Press
Серия: Adaptive Computation and Machine Learning series
Год: 2024
Страниц: 240
Язык: английский
Формат: epub
Размер: 79.1 MB

An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest Deep Learning advances. Machine Learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook comprehensively introduces the foundations of computer vision while incorporating the latest deep learning advances. Taking a holistic approach that goes beyond Machine Learning, it addresses fundamental issues in the task of vision and the relationship of machine vision to human perception. Foundations of Computer Vision covers topics not standard in other texts, including transformers, diffusion models, statistical image models, issues of fairness and ethics, and the research process. To emphasize intuitive learning, concepts are presented in short, lucid chapters alongside extensive illustrations, questions, and examples. Written by leaders in the field and honed by a decade of classroom experience, this engaging and highly teachable book offers an essential next-generation view of computer vision.

Название: Эффективное тестирование программного обеспечения
Автор: Аниче М.
Издательство: ДМК Пресс
Год: 2022 (2023)
Cтраниц: 370
Формат: pdf
Размер: 24 мб
Язык: русский

В этой книге представлены основы систематического эффективного тестирования программного обеспечения. Показаны способы автоматизировать часть этого процесса, приводятся шаблоны проектирования, которые помогут писать легко контролируемый и простой для наблюдения код. Обсуждаются модульные, интеграционные и системные тесты; рассматривается передовой опыт работы с тестовым кодом. Издание адресовано разработчикам с разным уровнем знаний: начинающие детально изучат процесс тестирования на конкретных примерах, опытные познакомятся с новыми практическими приемами и отточат имеющиеся навыки.

Название: Cloud Automation with Python: for Engineers
Автор: Phil Robins
Издательство: Independently published
Год: 2024
Страниц: 307
Язык: английский
Формат: epub
Размер: 10.1 MB

This book takes an Infrastructure engineer with PowerShell and Bash coding experience through learning Python. It goes through how Python can be used to code Cloud Automation within products like CloudBolt's CMP or use standalone code to provision cloud-based infrastructure in Private and Public clouds. There are other software options within the market, and of course, you, as a Cloud Automation Engineer are free to develop it all yourself, although that is a daunting task considering all of the touch points. Join us as we unravel the tapestry of Cloud Automation, unveiling its transformative potential in driving efficiency, agility, and scalability across VMware, OpenStack, AWS, Azure, and GCP landscapes. Many Infrastructure engineers may have worked within environments where they are siloed into departments who specialize e.g. Linux engineering or Windows Administrators where the exposure to only Bash with Unix/Linux or PowerShell with Windows. Understanding these scripting languages not only unlocks the potential for system administration but also lays the groundwork for transitioning to more advanced languages like Python for cloud automation. Python is known for its versatility and ease of use, making it an ideal language for a wide range of tasks, including automation. With CloudBolt, where automation plays a pivotal role in managing diverse cloud resources, Python's flexibility allows users to create custom integrations, plugins, and automation scripts tailored to specific needs. Python's extensive libraries and modules facilitate seamless integration with various APIs, tools, and services—essential components when working within a CMP like CloudBolt.

Название: Machine Learning Techniques and Industry Applications
Автор: Pramod Kumar Srivastava, Ashok Kumar Yadav
Издательство: IGI Global
Год: 2024
Страниц: 327
Язык: английский
Формат: pdf (true), epub
Размер: 23.5 MB

In today's rapidly evolving world, the exponential growth of data poses a significant challenge. As data volumes increase, traditional methods of analysis and decision-making become inadequate. This surge in data complexity calls for innovative solutions that efficiently extract meaningful insights. Machine Learning has emerged as a powerful tool to address this challenge, offering algorithms and techniques to analyze large datasets and uncover hidden patterns, trends, and correlations. Machine Learning Techniques and Industry Applications demystifies Machine Learning (ML) through detailed explanations, examples, and case studies, making it accessible to a broad audience. Whether you're a student, researcher, or practitioner, this book equips you with the knowledge and skills needed to harness the power of Machine Learning to address diverse challenges. From e-government to healthcare, cyber-physical systems to agriculture, this book explores how Machine Learning can drive innovation and sustainable development.

Название: Core Java, Volume I: Fundamentals, 13th Edition (Early Release)
Автор: Cay S. Horstmann
Издательство: Oracle Press/Pearson Education
Год: 2024
Страниц: 966
Язык: английский
Формат: epub
Размер: 12.3 MB

Whatever version of Java you are using, Core Java, Volume I: Fundamentals, Thirteenth Edition, will help you achieve a deep and practical understanding of the language and APIs. With hundreds of realistic examples, Java Champion Cay S. Horstmann demonstrates the most powerful and effective ways to get the job done. The book that you are reading right now is the first volume of the thirteenth edition of Core Java. Each edition closely followed a release of the Java Development Kit, and each time, I rewrote the book to take advantage of the newest Java features. This edition has been updated to reflect the features of Java 21. As with the previous editions, this book still targets serious programmers who want to put Java to work on real projects. I think of you, the reader, as a programmer with a solid background in a programming language other than Java. I assume that you don't like books filled with toy examples (such as toasters, zoo animals, or "nervous text"). You won't find any of these in the book. My goal is to enable you to fully understand the Java language and library, not to give you an illusion of understanding. In this book you will find lots of sample code demonstrating almost every language and library feature. The sample programs are purposefully simple to focus on the major points, but, for the most part, they aren't fake and they don't cut corners. They should make good starting points for your own code.

Название: Continuous Integration and Delivery with Test-driven Development: Cultivating quality, speed, and collaboration through automated pipelines
Автор: Amit Bhanushali, Alekhya Achanta, Beena Bhanushali
Издательство: BPB Publications
Год: 2024
Страниц: 238
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Building tomorrow, today: Seamless integration, continuous deliver. As software complexity grows, quality and delivery speed increasingly rely on automated pipelines. This practical guide equips readers to construct robust CI/CD workflows that boost productivity and reliability. Step-by-step walkthroughs detail the technical implementation of continuous practices, while real-world case studies showcase solutions tailored for diverse systems and organizational needs. Master CI/CD, crucial for modern software development, with this book. It compares traditional versus test-driven development, stressing testing's importance. In this book, we will explore CI/CD's principles, benefits, and DevOps integration. We will build robust pipelines covering containerization, version control, and infrastructure as code. Through this book, you will learn about effective CD with monitoring, security, and release management, you will learn how to optimize CI/CD for different scenarios and applications, emphasizing collaboration and automation for success. With actionable best practices grounded in TDD principles, this book teaches how to leverage automated processes to cultivate shared ownership, design simplicity, comprehensive testing, and ultimately deliver exceptional business value.

Название: 100 Mistakes in Software Engineering
Автор: Luis Cordero
Издательство: PublishDrive
Год: 2024
Страниц: 239
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

In this book I write about 100 mistakes that professional software engineers (including myself) have made in their careers. The main purpose of the book is to give you practical and useful knowledge about the decisions that professional face every day and how to avoid the bad decisions. Imagine having at your disposal 100 things that seasoned engineers went through and getting their advise first hand on what you should do. Embarking on a software project without conducting code reviews is a bit like painting with your nose right up against the canvas. You're so focused on the details that you miss the broader strokes that might be going awry. Regularly stepping back, or better yet, having another set of eyes to observe your work, ensures that the final masterpiece is exactly that—a masterpiece. However, like all rules, there are exceptions, and the effectiveness of code reviews can hinge on the structure and trust level within your team. For most projects, skipping code reviews is a guaranteed way to invite trouble. They're a valuable checkpoint, not just for catching bugs but for maintaining a cohesive and readable codebase, sharing knowledge among the team, and ensuring that everyone's coding to the same standards. Think of it as quality control, fresh perspectives, and a learning opportunity all rolled into one.

Название: Fluent Bit with Kubernetes (MEAP v6)
Автор: Phil Wilkins
Издательство: Manning Publications
Год: 2024
Страниц: 404
Язык: английский
Формат: pdf, epub
Размер: 21.9 MB

Build cloud native observability pipelines with minimal footprints and high-performance throughput—all with Fluent Bit, Kubernetes, and your favorite visualization and analytics tools. Fluent Bit is a super-fast and super lightweight observability tool—making it perfect for telemetry on Kubernetes-based systems. Fluent Bit with Kubernetes is an all-practical guide to monitoring both cloud-native and traditional environments with Fluent Bit. It takes you from the basics of collecting app logs, all the way to filtering, routing, enriching and transforming logs, metrics, and traces. Fluent Bit with Kubernetes draws on both the input and support of key committers and founders of Fluent Bit, and author Phil Wilkin’s years of experience in DevOps. Inside, you’ll see how you can integrate Fluent Bit with Prometheus, OpenTelemetry, FluentD deployments, and more. Learn how Fluent Bit can not only meet all the demands of cloud-native use cases, but also more traditional deployments as well. For developers, DevOps engineers, and SREs working with Kubernetes observability.

Название: Mastering Python: A Journey Through Programming and Beyond
Автор: The Northern Himalayas
Издательство: The Northern Himalayas
Год: 2024
Страниц: 835
Язык: английский
Формат: epub
Размер: 11.5 MB

"Mastering Python: A Journey Through Programming and Beyond." This comprehensive guide is designed to take both novice programmers and experienced developers to new heights of mastery in the Python language. The book begins with a solid foundation in Python fundamentals, ensuring readers grasp essential concepts with clarity and confidence. From there, the journey unfolds, delving into advanced programming techniques, best practices, and real-world applications. Readers will explore the versatility of Python, from building web applications with Flask to data analysis and visualization using Pandas and Matplotlib. The narrative seamlessly progresses into the realm of machine learning with Scikit-Learn, allowing readers to demystify complex algorithms and build their own predictive models. Practical exercises and hands-on projects ensure that theoretical knowledge is transformed into practical skills, reinforcing the learning experience. The heart of the journey lies in the creation of a To-Do List application, where readers apply their accumulated knowledge to build a complete and functional project. Each step is meticulously explained, guiding readers through the planning, design, and implementation phases, enhancing their problem-solving abilities and project development skills.

Название: Optimizing AI and Machine Learning Solutions: Your ultimate guide to building high-impact ML/AI solutions
Автор: Mirza Rahim Baig
Издательство: BPB Publications
Год: 2024
Страниц: 836
Язык: английский
Формат: pdf, epub
Размер: 26.0 MB

Build high-impact ML/AI solutions by optimizing each step. This book approaches data science solution building using a principled framework and case studies with extensive hands-on guidance. It will teach the readers optimization at each step, whether it is problem formulation or hyperparameter tuning for Deep Learning models. This book keeps the reader pragmatic and guides them toward practical solutions by discussing the essential ML concepts, including problem formulation, data preparation, and evaluation techniques. Further, the reader will be able to learn how to apply model optimization with advanced algorithms, hyperparameter tuning, and strategies against overfitting. They will also benefit from Deep Learning by optimizing models for image processing, natural language processing (NLP), and specialized applications. The reader can put theory into practice with hands-on case studies and code examples, reinforcing their understanding. With this book, the reader will be able to create high-impact, high-value ML/AI solutions by optimizing each step of the solution building process, which is the ultimate goal of every Data Science professional. With this book, you will be able to approach a ML/AI solution in a systematic way, optimizing each step of the solution building process. You will thus be able to create high impact, high value Machine Learning/Artificial Intelligence solutions – which is the ultimate goal of every Data Science professional.