Название: Learning Helm: Managing Apps on Kubernetes
Автор: Matt Butcher, Matt Farina, and Josh Dolitsky
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 215
Размер: 10 Mb
Язык: English

This practical guide shows you how to efficiently create, install, and manage the applications running inside your containers. Helm maintainers Matt Butcher, Matt Farina, and Josh Dolitsky explain how this package manager fits into the Kubernetes ecosystem and provide an inside look at Helm's design and best practices.

Название: Blueprints for Text Analytics Using Python: Machine Learning-Based Solutions for Common Real World (NLP) Applications
Автор: Jens Albrecht, Sidharth Ramachandran, Christian Winkler
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 422
Размер: 20 Mb, 16 Mb
Язык: English

Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always clear which NLP tools or libraries would work for a business's needs, or which techniques you should use and in what order.

Название: Learning Go: An Idiomatic Approach to Real-World Go Programming
Автор: Jon Bodner
Издательство: O’Reilly Media
Год: 2021
Формат: True (PDF, ePUB)
Страниц: 374
Размер: 10 Mb
Язык: English

Go is rapidly becoming the preferred language for building web services. While there are plenty of tutorials available that teach Go's syntax to developers with experience in other programming languages, tutorials aren't enough. They don't teach Go's idioms, so developers end up recreating patterns that don't make sense in a Go context. This practical guide provides the essential background you need to write clear and idiomatic Go.

Название: Practical Process Automation
Автор: Bernd Ruecker
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 294
Размер: 19,2 Mb, 15,5 Mb
Язык: English

In today's IT architectures, microservices and serverless functions play an increasingly important role. But how can you create meaningful, comprehensive, and connected business solutions if the individual components are decoupled and independent by design? This book provides a framework through examples and practical advice, and reveals how you can design complex processes in such an environment to deliver true business value.
Systems that become more distributed, asynchronous, and reactive usually require state handling to deal with long-running interactions. Author Bernd Ruecker demonstrates how to use process automation technology to apply typical long-running patterns around resiliency, messaging, orchestration, or consistency without forcing your service implementation to become stateful itself.

Название: Hands-on Rust: Effective Learning through 2D Game Development and Play
Автор: Herbert Wolverson
Издательство: Pragmatic Programmers
Год: 2021
Формат: True PDF, ePUB
Страниц: 332
Размер: 100 Mb, 14 Mb
Язык: English

Rust is an exciting new programming language combining the power of C with memory safety, fearless concurrency, and productivity boosters - and what better way to learn than by making games. Each chapter in this book presents hands-on, practical projects ranging from "Hello, World" to building a full dungeon crawler game. With this book, you'll learn game development skills applicable to other engines, including Unity and Unreal.

Название: Learning TensorFlow.js: Powerful Machine Learning in jаvascript
Автор: Gant Laborde
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 342
Размер: 107 Mb, 17 Mb
Язык: English

Given the demand for AI and the ubiquity of jаvascript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde--Google Developer Expert in machine learningand the web--provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers.

Название: Mathematical Foundations of Data Science Using R
Автор: Matthias Dehmer, Salissou Moutari
Издательство: De Gruyter
Год: 2020
Страниц: 431
Язык: английский
Формат: pdf (true), pdf (conv)
Размер: 30.0 MB, 24.3 MB

In order best exploit the incredible quantities of data being generated in most diverse disciplines data sciences increasingly gain worldwide importance. The book gives the mathematical foundations to handle data properly. It introduces basics and functionalities of the R programming language which has become the indispensable tool for data sciences. Thus it delivers the reader the skills needed to build own tool kits of a modern data scientist.

Название: Hands-on Azure Functions with C#
Автор: Ashirwad Satapathi, Abhishek Mishra
Издательство: Apress
Год: 2021
Формат: PDF
Страниц: 531
Размер: 35,5 Mb
Язык: English

The book starts with an introduction to Azure Functions and demonstrates triggers and bindings with use cases. The process to build an OTP mailer with Queue Storage Trigger and SendGrid output binding is presented, and timer triggers and blob storage binding are covered. Creating custom binding for Azure Functions and building a serverless API using Azure Functions and Azure SQL are discussed. You will know how to build a serverless API using Azure Functions and Azure Cosmos DB, and you will go over enabling application insights and Azure Monitor. Storing function secrets in Azure Key Vault is discussed as well as authentication and authorization using Azure Active Directory. You will learn how to secure your serverless apps using API Management and deploy your Azure Functions using IDEs.

Название: Voice Biometrics: Technology, trust and security
Автор: Carmen García-Mateo, Gerard Chollet
Издательство: The Institution of Engineering and Technology
Год: 2021
Страниц: 300
Язык: английский
Формат: True EPUB
Размер: 10.1 MB

Voice biometrics are being implemented globally in large scale applications such as remote banking, government e-services, transportation and building security access, autonomous vehicles, and healthcare. They have been integrated in numerous apps, often coupled with face biometrics and artificial intelligence methods. Voice biometrics products and solutions must meet three key requirements for the success in their deployment: they must be highly trustable regarding privacy protection; easy to use and always be available. Neural networks, sometimes also called artificial neural networks (ANN), are algorithms for machine learning that consist of a set of units (neurons), which are usually grouped in layers (known as hidden layers) and connected by some weights. This topology allows the model to transform the input data in such a way that it is able to find useful patterns to perform a specific task such as classification or regression. The process of adjusting the values of the connections (weights) is known as training.

Название: Introduction to Statistical and Machine Learning Methods for Data Science
Автор: Carlos Andre Reis Pinheiro, Mike Patetta
Издательство: SAS
Год: 2021
Формат: True PDF, ePUB
Страниц: 170
Размер: 18,5 Mb, 10 Mb
Язык: English

Data science is an exciting, interdisciplinary field that extracts insights from data to solve business problems. This book introduces common data science techniques and methods and shows you how to apply them in real-world case studies. From data preparation and exploration to model assessment and deployment, this book describes every stage of the analytics life cycle, including a comprehensive overview of unsupervised and supervised machine learning techniques. The book guides you through the necessary steps to pick the best techniques and models and then implement those models to successfully address the original business need.