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 Название: Functional Programming in Java: Harness the Power of Streams and Lambda Expressions, 2nd Edition
Автор: Venkat Subramaniam
Издательство: Pragmatic Bookshelf
Год: July 2023 (Version: P1.0)
Страниц: 313
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB
Imagine writing Java code that reads like the problem statement, code that's highly expressive, concise, easy to read and modify, and has reduced complexity. With the functional programming capabilities in Java, that's not a fantasy. This book will guide you from the familiar imperative style through the practical aspects of functional programming, using plenty of examples. Apply the techniques you learn to turn highly complex imperative code into elegant and easy-to-understand functional-style code. Updated to the latest version of Java, this edition has four new chapters on error handling, refactoring to functional style, transforming data, and idioms of functional programming. Don't struggle with the limitations of the imperative style; instead learn to combine object-oriented programming with the functional style to reduce the accidental complexity. Harness the functional programming capabilities of Java to create applications where the program reveals its intentions and your team can quickly understand and modify code to align with changing business requirements. Unlock the power of lambda expressions and the Streams API to turn the oft-written spaghetti code into highly concise, expressive, elegant, and maintainable code. See how Streams make the arduous task of parallelizing code as easy as flipping a switch when superior speed is necessary. | |
Разместил: Ingvar16 22-09-2023, 11:48 | Комментарии: 0 | Подробнее
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 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. | |
Разместил: Ingvar16 22-09-2023, 04:44 | Комментарии: 0 | Подробнее
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 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. | |
Разместил: Ingvar16 22-09-2023, 04:34 | Комментарии: 0 | Подробнее
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 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. | |
Разместил: Ingvar16 22-09-2023, 04:08 | Комментарии: 0 | Подробнее
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 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. | |
Разместил: Ingvar16 21-09-2023, 21:24 | Комментарии: 0 | Подробнее
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 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. | |
Разместил: Ingvar16 21-09-2023, 21:04 | Комментарии: 0 | Подробнее
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 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. | |
Разместил: Ingvar16 21-09-2023, 18:43 | Комментарии: 0 | Подробнее
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 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. | |
Разместил: Ingvar16 21-09-2023, 06:38 | Комментарии: 0 | Подробнее
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 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. | |
Разместил: Ingvar16 21-09-2023, 02:07 | Комментарии: 0 | Подробнее
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 Название: Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM)
Автор: Ivan Svetunkov
Издательство: CRC Press
Год: 2024
Страниц: 494
Язык: английский
Формат: pdf (true)
Размер: 10.7 MB
Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM) focuses on a time series model in Single Source of Error state space form, called “ADAM” (Augmented Dynamic Adaptive Model). The book demonstrates a holistic view to forecasting and time series analysis using dynamic models, explaining how a variety of instruments can be used to solve real life problems. At the moment, there is no other tool in R or Python that would be able to model both intermittent and regular demand, would support both ETS and ARIMA, work with explanatory variables, be able to deal with multiple seasonalities (e.g. for hourly demand data) and have a support for automatic selection of orders, components and variables and provide tools for diagnostics and further improvement of the estimated model. ADAM can do all of that in one and the same framework. Given the rising interest in forecasting, ADAM, being able to do all those things, is a useful tool for data scientists, business analysts and Machine Learning experts who work with time series, as well as any researchers working in the area of dynamic models. | |
Разместил: Ingvar16 21-09-2023, 01:47 | Комментарии: 0 | Подробнее
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