Litgu.ru - Литературный Гуру

Название: Latent Factor Analysis for High-dimensional and Sparse Matrices: A particle swarm optimization-based approach
Автор: Ye Yuan, Xin Luo
Издательство: Springer
Год: 2022
Страниц: 99
Язык: английский
Формат: pdf (true), epub
Размер: 22.7 MB

Latent factor analysis models are an effective type of machine learning model for addressing high-dimensional and sparse matrices, which are encountered in many big-data-related industrial applications. The performance of a latent factor analysis model relies heavily on appropriate hyper-parameters. However, most hyper-parameters are data-dependent, and using grid-search to tune these hyper-parameters is truly laborious and expensive in computational terms. Hence, how to achieve efficient hyper-parameter adaptation for latent factor analysis models has become a significant question.

Название: Versatile Video Coding (VVC): Machine Learning and Heuristics
Автор: Mario Saldanha, Gustavo Sanchez, Cesar Marcon, Luciano Agostini
Издательство: Springer
Год: 2022
Страниц: 128
Язык: английский
Формат: pdf (true), epub
Размер: 23.2 MB

This book discusses the Versatile Video Coding (VVC), the ISO and ITU state-of-the-art video coding standard. VVC reaches a compression efficiency significantly higher than its predecessor standard (HEVC) and it has a high versatility for efficient use in a broad range of applications and different types of video content, including Ultra-High Definition (UHD), High-Dynamic Range (HDR), screen content, 360º videos, and resolution adaptivity. The authors introduce the novel VVC tools for block partitioning, intra-frame and inter-frames predictions, transforms, quantization, entropy coding, and in-loop filtering. The authors also present some solutions exploring VVC encoding behavior at different levels to accelerate the intra-frame prediction, applying statistical-based heuristics and Machine Learning (ML) techniques.

Название: Software Design by Example: A Tool-Based Introduction with jаvascript
Автор: Greg Wilson
Издательство: CRC Press
Год: 2023
Страниц: 340
Язык: английский
Формат: pdf (true)
Размер: 15.8 MB

The best way to learn design in any field is to study examples, and some of the best examples of software design come from the tools programmers use in their own work. Software Design by Example: A Tool-Based Introduction with jаvascript therefore builds small versions of the things programmers use in order to demystify them and give some insights into how experienced programmers think. From a file backup system and a testing framework to a regular expression matcher, a browser layout engine, and a very small compiler, we explore common design patterns, show how making code easier to test also makes it easier to re-use, and help readers understand how debuggers, profilers, package managers, and version control systems work so that they can use them more effectively.

Название: Workload Automation Using HWA: With Architecture and Deployment Options
Автор: Navin Sabharwal, Subramani Kasiviswanathan
Издательство: Apress
Год: 2023
Страниц: 239
Язык: английский
Формат: pdf, epub
Размер: 29,2 MB

Workload automation focuses on real-time processing, predefined event-driven triggers, and situational dependencies. Workload Automation offers centralized control of managing multiple tasks, making it possible to schedule enterprise-wide tasks. It supports the timely completion of tasks and is beneficial for processes that need to happen at a specific time or need to occur as a result of another event. WLA increases efficiency, reduces the turnaround time for workflows, and reduces errors along with delays in end-to-end processes. The book details how the HCL workload automation solution has been able to meet the Automation requirements of the digitally transformed platforms. It specifies detailed architecture and deployment options. The course demonstrates best practices to deliver batch optimization and modernization requirements. It shows how solutions can be aligned with the DevSecOps delivery model.

Название: Creating Business Applications with Microsoft 365: Techniques in Power Apps, Power BI, SharePoint, and Power Automate, Second Edition
Автор: Jeffrey M. Rhodes
Издательство: Apress
Год: 2022
Страниц: 424
Язык: английский
Формат: pdf, epub
Размер: 47.1 MB

Learn how to automate processes, visualize your data, and improve productivity using Power Apps, Power Automate, Power BI, SharePoint, Forms, Teams, and more. This book will help you build complete solutions that often involve storing data in SharePoint, creating a front-end application in Power Apps or Forms, adding additional functionality with Power Automate, and effective reports and dashboards in Power BI. This new edition greatly expands the focus on Power Apps, Power BI, Power Automate, and Teams, along with SharePoint and Microsoft Form. It starts with the basics of programming and shows how to build a simple email application in .NET, HTML/jаvascript, Power Apps on its own, and Power Apps and Power Automate in combination.

Название: Security as Code: DevSecOps Patterns with AWS (Fourth Release)
Автор: BK Sarthak Das, Virginia Chu
Издательство: O’Reilly Media, Inc.
Год: 2022-11-15
Страниц: 200
Язык: английский
Формат: epub, mobi
Размер: 10.1 MB

DevOps engineers, developers, and security engineers have ever-changing roles to play in today's cloud native world. In order to build secure and resilient applications, you have to be equipped with security knowledge. Enter security as code. In this book, authors BK Sarthak Das and Virginia Chu demonstrate how to use this methodology to secure any application and infrastructure you want to deploy. With Security as Code, you'll learn how to create a secure containerized application with Kubernetes using CI/CD tooling from AWS and open source providers.

Название: Modern Concurrency on Apple Platforms: Using async/await with Swift
Автор: Andres Ibañez Kautsch
Издательство: Apress
Год: 2023
Страниц: 213
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

Build solid software with modern and safe concurrency features. Concurrency is one of the hardest problems in computer science. For years, computer scientists and engineers have developed different strategies for dealing with concurrency. However, the original concurrency primitives are complicated and difficult to understand, and even harder to implement. Using the new async/await APIs in Swift, this book will explain how your code can abstract a lot of the complexity with a simpler interface so you never have to deal with concurrency primitives such as semaphores, locks, and threads yourself. This will allow you to write concurrent code that is easier to read, easier to write, and easier to maintain. These new APIs are deeply ingrained into Swift, offering compile-level features that will keep you from writing dangerous concurrent code.

Название: An Introduction to Audio Content Analysis: Music Information Retrieval Tasks and Applications, 2nd Edition
Автор: Alexander Lerch
Издательство: Wiley-IEEE
Год: 2023
Страниц: 467
Язык: английский
Формат: pdf (true)
Размер: 29.7 MB

An Introduction to Audio Content Analysis Enables readers to understand the algorithmic analysis of musical audio signals with AI-driven approaches. An Introduction to Audio Content Analysis serves as a comprehensive guide on audio content analysis explaining how signal processing and machine learning approaches can be utilized for the extraction of musical content from audio. It gives readers the algorithmic understanding to teach a computer to interpret music signals and thus allows for the design of tools for interacting with music. The work ties together topics from audio signal processing and machine learning, showing how to use audio content analysis to pick up musical characteristics automatically. A multitude of audio content analysis tasks related to the extraction of tonal, temporal, timbral, and intensity-related characteristics of the music signal are presented. Each task is introduced from both a musical and a technical perspective, detailing the algorithmic approach as well as providing practical guidance on implementation details and evaluation.

Название: Meta-Learning: Theory, Algorithms and Applications
Автор: Lan Zou
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 404
Язык: английский
Формат: pdf (true), epub
Размер: 29.48 MB

Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI). Meta-learning with DNNs brings AGI much closer: artificial agents solving intelligent tasks that human beings can achieve, even transcending what they can achieve. Meta-Learning: Theory, Algorithms and Applications shows how meta-learning in combination with DNNs advances towards AGI. Machine Learning (ML) as a field is “concerned with the question of how to construct computer programs that automatically improve with experience.” A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E. According to the characteristics of signal and feedback, Machine Learning approaches are commonly categorized into three groups: supervised learning, unsupervised learning, and reinforcement learning.

Название: A Criminologist's Guide to R: Crime by the Numbers
Автор: Jacob Kaplan
Издательство: CRC Press
Серия: The R Series
Год: 2023
Страниц: 432
Язык: английский
Формат: pdf (true)
Размер: 70.4 MB

A Criminologist's Guide to R: Crime by the Numbers introduces the programming language R and covers the necessary skills to conduct quantitative research in criminology. By the end of this book, a person without any prior programming experience can take raw crime data, be able to clean it, visualize the data, present it using R Markdown, and change it to a format ready for analysis. A Criminologist's Guide to R focuses on skills specifically for criminology such as spatial joins, mapping, and scraping data from PDFs, however any social scientist looking for an introduction to R for data analysis will find this useful. This book introduces the programming language R and is meant for undergrads or graduate students studying criminology. R is a programming language that is well-suited to the type of work frequently done in criminology - taking messy data and turning it into useful information. While R is a useful tool for many fields of study, this book focuses on the skills criminologists should know and uses crime data for the example data sets.