Название: Cloud Native Microservices With Kubernetes: A Comprehensive Guide to Building, Scaling, Deploying, Observing, and Managing Highly-Available Microservices in Kubernetes
Автор: Aymen El Amri
Издательство: Leanpub
Год: 2023-06-21
Страниц: 369
Язык: английский
Формат: pdf (true), epub
Размер: 17.7 MB

"Cloud Native Microservices With Kubernetes" is a hands-on, example-rich guide focused on real-world examples and practical learning that covers everything needed from the basics to the most advanced concepts. In this comprehensive guide, we will dive deep into the intricacies of microservices, high-availability strategies, CI/CD, GitOps, and observability in a Cloud Native world. Our exploration will include GitOps, with a focus on creating an efficient GitOps workflow using Argo CD. We will adeptly handle CI/CD (continuous delivery and deployment) strategies such as Blue/Green, Canary deployments, and Rolling updates. In addition, we will cover how to expertly manage data in Kubernetes using persistent volumes and stateful sets. We will navigate the creation of various types of services in Kubernetes and how to expose them to the outside world using Ingress and Service Mesh. The book focuses on achieving high availability, scalability, and efficient deployment, monitoring, CI/CD, and everything else you need to build your next microservices architecture. All of this can be done by leveraging the power of Kubernetes and its ecosystem.

Название: Explainable Artificial Intelligence for Intelligent Transportation Systems
Автор: Amina Adadi, Afaf Bouhoute
Издательство: CRC Press
Год: 2024
Страниц: 286
Язык: английский
Формат: pdf (true)
Размер: 28.6 MB

Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception. While ML, especially Deep Learning models, achieve great performance in terms of accuracy, the outcomes provided are not amenable to human scrutiny and can hardly be explained. This can be very problematic, especially for systems of a safety-critical nature such as transportation systems. Explainable AI (XAI) methods have been proposed to tackle this issue by producing human interpretable representations of machine learning models while maintaining performance. These methods hold the potential to increase public acceptance and trust in AI-based ITS. Artificial Intelligence (AI), particularly Machine and Deep Learning, has been significantly advancing Intelligent Transportation Systems (ITS) research and industry. Due to their ability to recognize and to classify patterns in large datasets, AI algorithms have been successfully applied to address the major problems and challenges associated with traffic management and autonomous driving, e.g., sensing, perception, prediction, detection, and decision-making. However, in their current incarnation, AI models, especially Deep Neural Networks (DNN), suffer from the lack of interpretability.

Название: The Complete C++ & Python Manual - 16th Edition 2023
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2023
Страниц: 148
Язык: английский
Формат: pdf
Размер: 62,2 MB

Раскройте возможности Python и C++. Наличие базовых знаний о программировании может открыть много разных дверей для новичка. Вы можете лучше понять, как работают аппаратное и программное обеспечение вместе, как функционирует ваш компьютер или устройство и как невероятные игровые среды с открытым миром преобразуются из целей и нулей в то, что находится на вашем мониторе или телевизоре. Технология повсюду, и все это связано между собой посредством программирования. Ваш телевизор, микроволновая печь, автомобильные развлечения и сам Интернет зависят от хороших программ, чтобы заставить их работать так, как вы хотите. На этих страницах находятся строительные блоки, которые помогут вам предпринять ваши первые шаги в мир программирования. Мы взяли два самых мощных и универсальных языках программирования: Python и C ++ и разбили их на небольшие учебные пособия и руководства, чтобы помочь вам узнать, как они работают, и как заставить их работать на вас.

Название: Low-Code AI: A Practical Project-Driven Introduction to Machine Learning (Final)
Автор: Gwendolyn Stripling, Michael Abel
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 325
Язык: английский
Формат: True EPUB (Retail Copy)
Размер: 14.9 MB

Take a data-first and use-case–driven approach with Low-Code AI to understand Machine Learning and Deep Learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems. Business and data analysts get a project-based introduction to ML/AI using a detailed, data-driven approach: loading and analyzing data; feeding data into an ML model; building, training, and testing; and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling show you how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications. Artificial Intelligence (AI) can be defined as the broad field of study where computers show intelligence. The phrase “show intelligence” is vague; it could be interpreted as a computer making a decision that we would expect from a living being. In recent decades, another form of AI has become more ubiquitous. Machine learning (ML) is the discipline of having computers learn algorithms from the data provided rather than the programmer having to provide the algorithms. Another way to phrase this in contrast to expert systems is that ML is about using data to discover the rules versus having experts write the rules for you.

Название: Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)
Автор: Sam Lau, Joseph Gonzalez, Deborah Nolan
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 594
Язык: английский
Формат: True EPUB (Retail Copy)
Размер: 15.7 MB

As an aspiring data scientist, you appreciate why organizations rely on data for important decisions—whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide. If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like Pandas.

Название: Forecasting with Artificial Intelligence: Theory and Applications
Автор: Mohsen Hamoudia, Spyros Makridakis, Evangelos Spiliotis
Издательство: Palgrave Macmillan
Год: 2023
Страниц: 441
Язык: английский
Формат: pdf (true), epub
Размер: 22.1 MB

This book is a comprehensive guide that explores the intersection of Artificial Intelligence (AI) and forecasting, providing the latest insights and trends in this rapidly evolving field. This book explores the intersection of Artificial Intelligence (AI) and forecasting, providing an overview of the current capabilities and potential implications of the former for the theory and practice of forecasting. It contains 14 chapters that touch on various topics, such as the concept of AI, its impact on economic decision-making, traditional and machine learning-based forecasting methods, challenges in demand forecasting, global forecasting models, including key illustrations, state-of-the-art implementations, best practices and notable advances, meta-learning and feature-based forecasting, ensembling, Deep Learning, scalability in industrial and optimization applications, and forecasting performance evaluation.

Название: Численное моделирование методом частиц
Автор: Хокни Р., Иствуд Дж.
Издательство: Мир
Год: 1987
Формат: djvu
Страниц: 639
Размер: 18.8 Мб
Язык: русский

Монография известных английских специалистов, охватывающая широкий круг проблем численного моделирования физических процессов методом частиц. Материал изложен подробно, представлены основные этапы моделирования, много внимания уделено тестированию программ на ЭВМ.

Название: PHP 8. Наиболее полное руководство
Автор: Котеров Дмитрий, Симдянов Игорь.
Издательство: СПб.: БХВ-Петербург
Год: 2023
Формат: djvu
Страниц: 992
Размер: 14 mb
Язык: русский

Книга предоставляет детальное и полное изложение языка PHP 8 от простого к сложному. Ее можно использовать как для изучения языка с нуля, так и для структурирования знаний, изучения тонких моментов синтаксиса и новых возможностей последней версии. Описываются все значимые нововведения. Рассматриваются новые типы, атрибуты, перечисления, именованные аргументы, сопоставления, объединенные типы, новые операторы ?= и ?-> и многое другое. Основной упор в книге делается на объектно-ориентированные возможности языка, поэтому классы и объекты рассматриваются практически с первых глав. Приведено описание синтаксиса PHP, а также инструментов для работы с массивами, файлами, СУБД PostgreSQL, Redis, регулярными выражениями, графическими примитивами, сессиями и т.д.

Название: Nature-inspired Optimization Algorithms and Soft Computing: Methods, technology and applications for IoTs, smart cities, healthcare and industrial automation
Автор: Rajeev Arya, Sangeeta Singh, Maheshwari P. Singh, Brijesh R. Iyer
Издательство: The Institution of Engineering and Technology
Год: 2023
Страниц: 298
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

We have witnessed an explosion of research activity around nature-inspired computing and bio-inspired optimization techniques, which can provide powerful tools for solving learning problems and data analysis in very large data sets. To design and implement optimization algorithms, several methods are used that bring superior performance. However, in some applications, the search space increases exponentially with the problem size. To overcome these limitations and to solve efficiently large scale combinatorial and highly nonlinear optimization problems, more flexible and adaptable algorithms are necessary. Nature-inspired computing is oriented towards the application of outstanding information-processing aptitudes of the natural realm to the computational domain. The discipline of nature-inspired optimization algorithms is a major field of computational intelligence, soft computing and optimization. Metaheuristic search algorithms with population-based frameworks are capable of handling optimization in high-dimensional real-world problems for several domains including imaging, IoT, smart manufacturing, and healthcare. The book will offer valuable insights to researchers and scientists from academia and industry in ICTs, IT and Computer Science, Data Science, AI and Machine Learning, swarm intelligence and complex systems.

Название: Acing the Certified Kubernetes Administrator Exam (Final)
Автор: Chad M. Crowell
Издательство: Manning Publications
Год: 2023
Страниц: 386
Язык: английский
Формат: epub (true), mobi
Размер: 20.9 MB

Becoming a Kubernetes administrator is a big accomplishment—and passing the Certified Kubernetes Administrator (CKA) exam can be a big boost to your career! Learn the hands on skills you need to ace the exam with clear teaching and hands-on exercises that match the unique CKA test environment. Acing the Certified Kubernetes Administrator Exam is your fast-track to becoming a Certified Kubernetes Administrator! Your expert exam tutor is Chad Crowell, whose courses have helped thousands of developers to understand Kubernetes and earn the coveted CKA certification. If you’re familiar with Kubernetes, this book will ensure you’re ready to pass in just one month of study. If you’re brand new, this is the perfect primer to get started on your Kubernetes journey. Go hands-on with all the exam objectives, including deploying containerized applications to Kubernetes, accessing an application from an ingress resource, and backup and restore. Plus, essential exam tips and exercises help you work out your mental muscle memory. For readers who know the basics of containers and Linux admin. No Kubernetes experience required.