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Название: Beginner's Guide to Streamlit with Python: Build Web-Based Data and Machine Learning Applications
Автор: Sujay Raghavendra
Издательство: Apress
Год: 2023
Страниц: 215
Язык: английский
Формат: pdf (true), epub
Размер: 15.7 MB

This book will teach you the basics of Streamlit, a Python-based application framework used to build interactive dashboards and Machine Learning web apps. Streamlit reduces development time for web-based application prototypes of data and Machine Learning models. As you’ll see, Streamlit helps develop data-enhanced analytics, build dynamic user experiences, and showcases data for Data Science and Machine Learning models. Beginner's Guide to Streamlit with Python begins with the basics of Streamlit by demonstrating how to build a basic application and advances to visualization techniques and their features. Next, it covers the various aspects of a typical Streamlit web application, and explains how to manage flow control and status elements. You’ll also explore performance optimization techniques necessary for data modules in a Streamlit application. Following this, you’ll see how to deploy Streamlit applications on various platforms.

Название: Создание приложений машинного обучения: от идеи к продукту
Автор: Амейзен Эммануэль
Издательство: Питер
Год: 2023
Формат: pdf
Страниц: 272
Размер: 12,9 Мб
Язык: русский

Освойте ключевые навыки проектирования, разработки и развертывания приложений на базе машинного обучения (МО)! Пошаговое руководство по созданию МО-приложений с упором на практику: для специалистов по обработке данных, разработчиков программного обеспечения и продакт-менеджеров. Читая эту книгу, вы шаг за шагом создадите реальное практическое приложение — от идеи до внедрения. В вашем распоряжении примеры кодов, иллюстрации, скриншоты и интервью с ведущими специалистами отрасли. Вы научитесь планировать и измерять успех МО-проектов, разберетесь, как построить рабочую модель, освоите способы ее итеративной доработки. И, наконец, познакомитесь со стратегиями развертывания и мониторинга.

Название: Distributed Machine Learning Patterns (MEAP v5)
Автор: Yuan Tang
Издательство: Manning Publications
Год: 2022
Страниц: 172
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Practical patterns for scaling Machine Learning from your laptop to a distributed cluster. Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern Machine Learning practitioners. Distributed Machine Learning Patterns teaches you how to scale Machine Learning models from your laptop to large distributed clusters. In Distributed Machine Learning Patterns, you’ll learn how to apply established distributed systems patterns to Machine Learning projects, and explore new ML-specific patterns as well. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed Machine Learning pipelines.

Название: Beginning SharePoint Communication Sites: Understanding and Managing Modern SharePoint Online, Second Edition
Автор: Charles David Waghmare
Издательство: Apress
Год: 2023
Страниц: 253
Язык: английский
Формат: pdf, epub
Размер: 13.9 MB

Understand SharePoint communication sites and create one on your own using SharePoint Home, available in Microsoft 365. This revised edition covers the new features in SharePoint communication sites and demonstrate how to effectively use them. You will also learn how to create a digital experience using SharePoint communication sites. This updated edition includes a new chapter on information management and governance, along with new topics such as seamless integration between Teams, using Power Automate and SharePoint Communication sites in tandem, and performing project and operations management activities with communication sites. Author Charles Waghmare starts by walking you through SharePoint communication sites and how to create them. Next, you’ll explore various use cases to understand the benefits of communicating through SharePoint communication sites. Further, you will learn collaborative applications like Teams and its integration with SharePoint, followed by details of compliance and governance. You will then integrate communication sites with Microsoft 365 products for better end user collaboration.

Название: gRPC Microservices in Go (MEAP v5)
Автор: Huseyin Babal
Издательство: Manning Publications
Год: 2022
Страниц: 138
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

gRPC is a high-performance messaging protocol that’s extraordinarily well-suited for microservices applications. Learn how to build fast and secure gRPC-based microservices using the powerful Go programming language. The powerful gRPC Remote Procedure Call framework delivers superior speed and security over protocols like REST. When paired with Golang’s low-level efficiency and flexibility, gRPC and Go become a killer combination for latency-sensitive microservices applications. Microservice architecture comes with its own challenges since we end up building a distributed system product where services communicate with each other over the network. gRPC helps us to set up hassle free communication patterns, especially for message exchange during inter-service communication. In this book, we deep dive into the theory of Microservice Architecture and how it is different from Monolithic Architecture. We also use gRPC and Go to communicate between services with a simple message and rpc definitions. Besides step by step implementation of each service, you can also see CI/CD examples applied to Microservice development. Code examples are enriched with illustrative diagrams to show you the big picture.

Название: R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, 2nd Edition (Early Release)
Автор: Hadley Wickham, Garrett Grolemund, Mine Cetinkaya-Rundel
Издательство: O’Reilly Media, Inc.
Год: 2022-12-14
Язык: английский
Формат: epub
Размер: 10.2 MB

Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse—a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Each section in this edition includes exercises to help you practice what you've learned along the way.

Название: Solution Architecture Patterns for Enterprise: A Guide to Building Enterprise Software Systems
Автор: Chanaka Fernando
Издательство: Apress
Год: 2023
Страниц: 388
Язык: английский
Формат: pdf), epub
Размер: 15.8 MB

Gain a deeper understanding of how distributed systems work, as well as which applications and systems are used for specific business domains or industries. This book provides a set of solution architecture patterns that were developed based on the author’s experience building enterprise software systems for hundreds of different organizations across the globe. The architecture diagrams (patterns) and examples allow you to not only grasp the concepts, but to build working projects. Solution Architecture Patterns for Enterprise starts with an introduction to the concepts of enterprise software systems and solution architecture and later moves to individual solution architecture patterns used in real-world enterprises. Subsequent sections cover various industry-specific solution architecture patterns that can be used to build domain-specific software systems.

Название: Serverless Beyond the Buzzword: A Strategic Approach to Modern Cloud Management, Second Edition
Автор: Thomas Smart
Издательство: Apress
Год: 2023
Страниц: 739
Язык: английский
Формат: pdf, epub
Размер: 40.8 MB

Know how Serverless and cloud-native systems work, their benefits and roles in automating and optimizing organizations, and the challenges to be considered. Anyone interested in Serverless architecture will benefit from this book, regardless of their level of technical understanding. This revised and expanded new edition explains many related terms, such as microservices, cloud-native, architecture, several relevant AWS services, and how it all works together to produce cost-effective, scalable solutions in the cloud. The book starts at a high level and gradually gets more in-depth and technical. Anyone interested in a deep understanding of Serverless and how it can impact organizations and projects, regardless of their technical level.

Название: CSS-in-JS
Автор: Коллектив
Издательство: HTML Academy
Год: 2022
Формат: HTML
Страниц: много
Размер: 27 Mb
Язык: Русский

CSS-in-JS — это современный подход к стилизации веб-приложений. Он расширяет возможности CSS при помощи jаvascript и позволяет преодолеть ряд ограничений и проблем традиционных методов работы со стилями.

Название: Beginning with Machine Learning: The Ultimate Introduction to Machine Learning, Deep Learning, Scikit-learn, and TensorFlow
Автор: Dr. Amit Dua, Umair Ayub
Издательство: BPB Publications
Год: 2023
Страниц: 237
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.2 MB

A step-by-step guide to get started with Machine Learning. Should I choose supervised learning or reinforcement learning? Which algorithm is best suited for my application? How does Deep Learning advance the capacities of problem-solving? If you have found yourself asking these questions, this book is specially developed for you. The book will help readers understand the core concepts of Machine Learning and techniques to evaluate any Machine Learning model with ease. The book starts with the importance of Machine Learning by analyzing its impact on the global landscape. The book also covers Supervised and Unsupervised ML along with Reinforcement Learning. In subsequent chapters, the book explores these topics in even greater depth, evaluating the pros and cons of each and exploring important topics such as Bias-Variance Tradeoff, Clustering, and Dimensionality Reduction. The book also explains model evaluation techniques such as Cross-Validation and GridSearchCV. The book also features mind maps which help enhance the learning process by making it easier to learn and retain information.