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Название: Robot Journalism: Can Human Journalism Survive?
Автор: Noam Lemelshtrich Latar
Издательство: World Scientific Publishing
ISBN: 9813237333
Год: 2018
Страниц: 452
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Artificial Intelligence (AI) is changing all aspects of communications and journalism as automatic processes are being introduced into all facets of classical journalism: investigation, content production, and distribution. Traditional human roles in these fields are being replaced by automatic processes and robots. The first section of this book focuses on a discussion of AI, the new emerging field of robot journalism, and the opportunities that AI limitations create for human journalists. The second section offers examples of the new journalism storytelling that empower human journalists using new technologies, new applications, and AI tools. While this book focuses on journalism, the discussion and conclusions are relevant to all content creators, including professionals in the advertising industry, which is a major main source of support for journalism.

Название: Узнайте, как программировать на LabVIEW (+file)
Автор: Белиовская Л.Г.
Издательство: ДМK Преcc
Год: 2014
Страниц: 138
Формат: PDF
Размер: 24 Мб
Язык: русский

Учебник по программированию на LabVIEW написан специально для изучения этой среды в курсе школьного предмета «Информатика». Эта книга может быть рекомендована для изучения темы «Алгоритмизация и объектно-ориентированное программирование» учащимся 6–9 классов общего образования в школе в рамках Федерального государственного образовательного стандарта.

Название: Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
Автор: Matt Wiley, Joshua F. Wiley
Издательство: Apress
Год: 2019
Формат: true pdf, epub
Страниц: 649
Размер: 72.6 Mb, 53.9 Mb
Язык: English

Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and concludes with a case study.
Written by Matt and Joshua F. Wiley, Advanced R Statistical Programming and Data Models shows you how to conduct data analysis using the popular R language. You’ll delve into the preconditions or hypothesis for various statistical tests and techniques and work through concrete examples using R for a variety of these next-level analytics. This is a must-have guide and reference on using and programming with the R language.

Название: Beginning Machine Learning in iOS: CoreML Framework
Автор: Mohit Thakkar
Издательство: Apress
Год: 2019
Формат: true pdf/epub
Страниц: 163
Размер: 13 Mb
Язык: English

Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning and then moves on to discussing more advanced topics, such as CoreML, the framework used to enable machine learning tasks in Apple products.
Many applications on iPhone use machine learning: Siri to serve voice-based requests, the Photos app for facial recognition, and Facebook to suggest which people that might be in a photo. You'll review how these types of machine learning tasks are implemented and performed so that you can use them in your own apps.

Название: Mastering Software Variability with FeatureIDE
Автор: Jens Meinicke and Thomas Th?m
Издательство: Springer
Год: 2017
Формат: AZW3, PDF
Размер: 14 Мб
Язык: английский / English

This book is a self-contained, practical introduction how to use FeatureIDE for modeling and implementing variable systems. In particular, readers learn how to analyze domains using feature models, specify requirements in form of configurations, and how to generate code based on conditional compilation and feature-oriented programming. Given the interactive style of the book, readers can directly try out the open-source development environment. All code examples are available in the standard distribution on GitHub and can immediately been used for individual modifications. Each part of the book is presented as a step-by-step tutorial and additionally illustrated using an ongoing example of elevator control software written in Java.

Название: Programming 3D Applications with HTML5 and WebGL
Автор: Tony Parisi
Издательство: O'Reilly Media
Год: 2014
Формат: PDF, EPUB
Размер: 75 Мб
Язык: английский / English

Create high-performance, visually stunning 3D applications for the Web, using HTML5 and related technologies such as CSS3 and WebGL—the emerging web graphics standard. With this book, you’ll learn how to use the tools, frameworks, and libraries for building 3D models and animations, mind-blowing visual effects, and advanced user interaction in both desktop and mobile browsers. In two parts—Foundations and Application Development Techniques—author Tony Parisi provides a thorough grounding in theory and practice for designing everything from a simple 3D product viewer to immersive games and interactive training systems. Ideal for developers with javascript and HTML experience.

Название: Programming the Photon: Getting Started with the Internet of Thing
Автор: Christopher Rush
Издательство: McGraw-Hill Education
Год: 2016
Формат: EPUB, PDF
Размер: 15 Мб
Язык: английский / English

Quickly learn to construct your own electronics devices and control them over the Internet with help from this DIY guide. Programming the Photon: Getting Started with the Internet of Things features clear explanations and step-by-step examples that use inexpensive, easy-to-find components. Discover how to connect to Wi-Fi networks, attach hardware to I/O ports, write custom programs, and work from the cloud. You will learn how to troubleshoot and tweak your Photon creations?even interface with social media sites!

Название: Stylish F#: Crafting Elegant Functional Code for .NET and .NET Core
Автор: Kit Eason
Издательство: Apress
ISBN: 1484239997
Год: 2019
Страниц: 408
Язык: английский
Формат: pdf (true), epub
Размер: 10.17 MB

Why just get by in F# when you can program in style! This book goes beyond syntax and into design. It provides F# developers with best practices, guidance, and advice to write beautiful, maintainable, and correct code. Stylish F# covers every design decision that a developer makes in constructing F# programs, helping you make the most educated and valuable design choices at every stage of code development. You will learn about the design of types and function signatures, the benefits of immutability, and the uses of partial function application. You will understand best practices for writing APIs to be used by F#, C#, and other languages. Each carefully vetted design choice is supported with compelling examples, illustrations, and rationales.

Название: AI for Data Science: Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond
Автор: Zacharias Voulgaris, Yunus Emrah Bulut
Издательство: Technics Publications
ISBN: 1634624092
Год: 2018
Страниц: 300
Язык: английский
Формат: epub, azw3, rtf, pdf (conv)
Размер: 10.1 MB

Master the approaches and principles of Artificial Intelligence (AI) algorithms, and apply them to Data Science projects with Python and Julia code.
Aspiring and practicing Data Science and AI professionals, along with Python and Julia programmers, will practice numerous AI algorithms and develop a more holistic understanding of the field of AI, and will learn when to use each framework to tackle projects in our increasingly complex world.

Название: Data Science with R: A Step By Step Guide With Visual Illustrations & Examples
Автор: Andrew Oleksy
Издательство: Amazon Digital Services LLC
ASIN: B07KNBFGFZ
Год: 2018
Страниц: 276
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.7 MB

The Data Science field is expected to continue growing rapidly over the next several years and Data Scientist is consistently rated as a top career.Data Science with R gives you the necessery theoretical background to start your Data Science journey and shows you how to apply the R programming language through practical examples in order to extract valuable knowledge from data. Professor Andrew Oleksy guides you through all important concepts of data science including the R programming language, Data Mining, Clustering, Classification and Prediction, Hadoop framework and more.