Litgu.ru - Литературный Гуру

Название: A Concise Introduction to Robot Programming with ROS2
Автор: Francisco Martin Rico
Издательство: CRC Press
Год: 2023
Формат: True PDF
Страниц: 264
Размер: 35,6 Mb
Язык: English

A Concise Introduction to Robot Programming with ROS2 provides the reader with the concepts and tools necessary to bring a robot to life through programming. It will equip the reader with the skills necessary to undertake projects with ROS2, the new version of ROS. It is not necessary to have previous experience with ROS2 as it will describe its concepts, tools, and methodologies from the beginning.

Название: Nature-Inspired Algorithms For Engineers and Scientists
Автор: Krishn Kumar Mishra
Издательство: CRC Press
Год: 2023
Страниц: 327
Язык: английский
Формат: pdf (true)
Размер: 20.8 MB

This comprehensive reference text discusses nature inspired algorithms and their applications. It presents the methodology to write new algorithms with the help of MATLAB programs and instructions for better understanding of concepts. It covers well-known algorithms including evolutionary algorithms, genetic algorithm, particle Swarm optimization and differential evolution, and recent approached including gray wolf optimization. A separate chapter discusses test case generation using techniques such as particle swarm optimization, genetic algorithm, and differential evolution algorithm.

Название: Kubernetes Patterns: Reusable Elements for Designing Cloud-Native Applications, 2nd Edition (Early Release)
Автор: Bilgin Ibryam, Roland Hub
Издательство: O’Reilly Media, Inc.
Год: 2022-09-01
Язык: английский
Формат: epub, mobi
Размер: 10.1 MB

The way developers design, build, and run software has changed significantly with the evolution of microservices and containers. These modern architectures offer new distributed primitives that require a different set of practices than many developers, tech leads, and architects are accustomed to. With this focused guide, Bilgin Ibryam and Roland HuÃ? provide common reusable patterns and principles for designing and implementing cloud native applications on Kubernetes.

Название: Spatial Sampling with R
Автор: Dick J. Brus
Издательство: CRC Press
Серия: The R Series
Год: 2022
Страниц: 549
Язык: английский
Формат: pdf (true)
Размер: 22.3 MB

Scientific research often starts with data collection. However, many researchers pay insufficient attention to this first step in their research. The author, researcher at Wageningen University and Research, often had to conclude that the data collected by fellow researchers were suboptimal, or in some cases even unsuitable for their aim. One reason is that sampling is frequently overlooked in statistics courses. Another reason is the lack of practical textbooks on sampling. Numerous books have been published on the statistical analysis and modelling of data using R, but to date no book has been published in this series on how these data can best be collected. This book fills this gap. Spatial Sampling with R presents an overview of sampling designs for spatial sample survey and monitoring. It shows how to implement the sampling designs and how to estimate (sub)population- and space-time parameters in R.

Название: Understanding Artificial Intelligence: Fundamentals and Applications
Автор: Albert Chun Chen Liu, Oscar Ming Kin Law, Iain Law
Издательство: John Wiley & Sons, Inc.
Год: 2022
Формат: True PDF
Страниц: 214
Размер: 12 Mb
Язык: English

Provides students across majors with a clear and accessible overview of new artificial intelligence technologies and applications
Artificial intelligence (AI) is broadly defined as computers programmed to simulate the cognitive functions of the human mind. In combination with the Neural Network (NN), Big Data (BD), and the Internet of Things (IoT), artificial intelligence has transformed everyday life: self-driving cars, delivery drones, digital assistants, facial recognition devices, autonomous vacuum cleaners, and mobile navigation apps all rely on AI to perform tasks.

Название: Introduction to Mathematics for Economics with R
Автор: Massimiliano Porto
Издательство: Springer
Год: 2022
Формат: True PDF
Страниц: 866
Размер: 10,8 Mb
Язык: English

This book provides a practical introduction to mathematics for economics using R software. Using R as a basis, this book guides the reader through foundational topics in linear algebra, calculus, and optimization. The book is organized in order of increasing difficulty, beginning with a rudimentary introduction to R and progressing through exercises that require the reader to code their own functions in R. All chapters include applications for topics in economics and econometrics. As fully reproducible book, this volume gives readers the opportunity to learn by doing and develop research skills as they go. As such, it is appropriate for students in economics and econometrics.

Название: Building web applications with Vue.js: MVVM patterns for conventional and single-page websites
Автор: Ralph Steyer
Издательство: Springer
Год: 2022
Страниц: 227
Язык: английский
Формат: pdf (true)
Размер: 11.7 MB

This book provides a compact and practical introduction to the popular Vue.js. Use the MVVC concept for applications on the web on the basis of MVC design patterns and create single-page web applications easily. You will use one of the powerful frameworks based only on elementary WWW standard technologies. With Vue.js you will understand and apply data binding, components, directives and modularity. In the browser, only jаvascript has been available for years as a universally available technology for programming. Together with HTML and CSS (Cascading Style Sheets), jаvascript forms the triad of modern websites and especially of client-side Web programming. Now, Vue.js is an increasingly popular framework on the Web that takes a very specific approach. It is a reactive, client-side jаvascript Web framework that is essentially used to create so-called single-screen Web applications or single-page Web applications (only one Web page in the browser that updates parts as needed and does not reload a new Web page) according to a Model-View-Controller pattern (MVC).

Название: Hacking Artificial Intelligence: A Leader's Guide from Deepfakes to Breaking Deep Learning
Автор: Davey Gibian
Издательство: Rowman & Littlefield Publishers
Год: 2022
Страниц: 193
Язык: английский
Формат: pdf (true), epub
Размер: 10.4 MB

Sheds light on the ability to hack AI and the technology industry’s lack of effort to secure vulnerabilities. We are accelerating towards the automated future. But this new future brings new risks. It is no surprise that after years of development and recent breakthroughs, artificial intelligence is rapidly transforming businesses, consumer electronics, and the national security landscape. But like all digital technologies, AI can fail and be left vulnerable to hacking. The ability to hack AI and the technology industry’s lack of effort to secure it is thought by experts to be the biggest unaddressed technology issue of our time. Hacking Artificial Intelligence sheds light on these hacking risks, explaining them to those who can make a difference.

Название: Choice Computing: Machine Learning and Systemic Economics for Choosing
Автор: Parag Kulkarni
Издательство: Springer
Год: 2022
Страниц: 254
Язык: английский
Формат: pdf (true), epub
Размер: 18.1 MB

This book presents thoughts and pathways to build revolutionary Machine Learning (ML) models with the new paradigm of Machine Learning to adapt behaviorism. It focuses on two aspects – one focuses on architecting a choice process to lead users on the certain choice path while the second focuses on developing Machine Learning models based on choice paradigm. This book is divided in three parts where part one deals with human choice and choice architecting models with stories of choice architects. Second part closely studies human choosing models and deliberates on developing ML models based on the human choice paradigm. Third part takes you further to look at Machine Learning based choice architecture.

Название: Dominant Algorithms to Evaluate Artificial Intelligence: From the view of Throughput Model
Автор: Waymond Rodgers
Издательство: Bentham Science Publishers
Год: 2022
Страниц: 329
Язык: английский
Формат: pdf (true), epub
Размер: 23.2 MB

This book describes the Throughput Model methodology that can enable individuals and organizations to better identify, understand, and use algorithms to solve daily problems. The Throughput Model is a progressive model intended to advance the artificial intelligence (AI) field since it represents symbol manipulation in six algorithmic pathways that are theorized to mimic the essential pillars of human cognition, namely, perception, information, judgment, and decision choice. The six AI algorithmic pathways are (1) Expedient Algorithmic Pathway, (2) Ruling Algorithmic Guide Pathway, (3) Analytical Algorithmic Pathway, (4) Revisionist Algorithmic Pathway, (5) Value Driven Algorithmic Pathway, and (6) Global Perspective Algorithmic Pathway. As AI is increasingly employed for applications where decisions require explanations, the Throughput Model offers business professionals the means to look under the hood of AI and comprehend how those decisions are attained by organizations.