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 Название: New Statistics for Design Researchers: A Bayesian Workflow in Tidy R
Автор: Martin Schmettow
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 475
Размер: 10 Mb
Язык: English
Design Research uses scientific methods to evaluate designs and build design theories. This book starts with recognizable questions in Design Research, such as A/B testing, how users learn to operate a device and why computer-generated faces are eerie. Using a broad range of examples, efficient research designs are presented together with statistical models and many visualizations.
With the tidy R approach, producing publication-ready statistical reports is straight-forward and even non-programmers can learn this in just one day. Hundreds of illustrations, tables, simulations and models are presented with full R code and data included. | |
Разместил: vitvikvas 13-07-2021, 16:18 | Комментарии: 0 | Подробнее
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 Название: Applications of Artificial Intelligence in Business, Education and Healthcare
Автор: Allam Hamdan, Aboul Ella Hassanien, Reem Khamis
Издательство: Springer
Год: 2021
Страниц: 502
Язык: английский
Формат: pdf (true), epub
Размер: 20.6 MB
This book focuses on the implementation of Artificial Intelligence in Business, Education and Healthcare, It includes research articles and expository papers on the applications of Artificial Intelligence on Decision Making, Entrepreneurship, Social Media, Healthcare, Education, Public Sector, FinTech, and RegTech. It also discusses the role of Artificial Intelligence in the health sector, education, and others. It also discusses the impact of Artificial Intelligence on decision-making in vital sectors of the economy. | |
Разместил: Ingvar16 13-07-2021, 15:04 | Комментарии: 0 | Подробнее
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 Название: Federated AI for Real-World Business Scenarios
Автор: Dinesh C. Verma
Издательство: CRC Press
Год: 2021
Страниц: 218
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
This book provides an overview of Federated Learning and how it can be used to build real-world AI-enabled applications. Real-world AI applications frequently have training data distributed in many different locations, with data at different sites having different properties and different formats. In many cases, data movement is not permitted due to security concerns, bandwidth, cost or regulatory restriction. Under these conditions, techniques of federated learning can enable creation of practical applications. Creating practical applications requires implementation of the cycle of learning from data, inferring from data, and acting based on the inference. | |
Разместил: Ingvar16 13-07-2021, 14:20 | Комментарии: 0 | Подробнее
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 Название: Handbook of AI-based Metaheuristics
Автор: Anand J. Kulkarni, Patrick Siarry
Издательство: CRC Press
Год: 2022
Страниц: 419
Язык: английский
Формат: pdf (true)
Размер: 21.1 MB
At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to Artificial Intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains. | |
Разместил: Ingvar16 13-07-2021, 13:54 | Комментарии: 0 | Подробнее
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 Название: Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
Автор: B. K. Tripathy, Anveshrithaa Sundareswaran
Издательство: CRC Press
Год: 2022
Страниц: 175
Язык: английский
Формат: pdf (true)
Размер: 14.8 MB
Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization describes such algorithms as Locally Linear Embedding (LLE), Laplacian Eigenmaps, Isomap, Semidefinite Embedding, and t-SNE to resolve the problem of dimensionality reduction in the case of non-linear relationships within the data. Underlying mathematical concepts, derivations, and proofs with logical explanations for these algorithms are discussed, including strengths and limitations. The book highlights important use cases of these algorithms and provides examples along with visualizations. Comparative study of the algorithms is presented to give a clear idea on selecting the best suitable algorithm for a given dataset for efficient dimensionality reduction and data visualization. | |
Разместил: Ingvar16 13-07-2021, 13:31 | Комментарии: 0 | Подробнее
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 Название: Taming Thymeleaf: Practical guide to building a webapplication with Spring Boot and Thymeleaf
Автор: Wim Deblauwe
Издательство: Leanpub
Год: 2021-04-13 (Version 1.1.1)
Страниц: 409
Язык: английский
Формат: pdf (true)
Размер: 44.9 MB
Learn to build a production-grade web application with Spring Boot and Thymeleaf with this book. Taming Thymeleaf will learn you about writing web applications with Spring Boot and Thymeleaf in no-time. The book teaches you step-by-step how to get started with those technologies and build a fully fledged web application including security, validation, internationalization, testing, ... Thymeleaf is an amazing technology for building server-side HTML using the Java eco-system. Combined with Spring Boot, it is really a killer combo for a productive development environment. Learn how to structure your code so your application can evolve for years to come. As HTML will always be there, you can do this without having to re-write your frontend every six months for the latest javascript framework. | |
Разместил: Ingvar16 12-07-2021, 21:49 | Комментарии: 0 | Подробнее
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 Название: A Tiny Introduction to javascript with Exercises and Puzzles
Автор: Matthew MacDonald
Издательство: ProseTech
Год: November 2020
Страниц: 151
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Develop your skills with 35 online exercises in CodePen. Best of all, there's no setup required. Real coding for complete beginners.
Join Matthew MacDonald, author of too-many-tech-books-to-count, as he enters the world of javascript—accompanied by friendly ninjas, cheating goblins, and at least one rude wizard. | |
Разместил: Ingvar16 12-07-2021, 21:25 | Комментарии: 0 | Подробнее
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 Название: Elements of Android Jetpack 2.1
Автор: Mark L. Murphy
Издательство: CommonsWare
Год: 2021
Страниц: 927
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 43.6 MB
After a decade's worth of Android app development, 2018 debuted the second generation of Android app development techniques, highlighted by Jetpack and the AndroidX family of libraries. This book follows in the footsteps of The Busy Coder's Guide to Android Development, to introduce developers to Android app development, focusing on Jetpack. Here you will learn how to set up an Android app for Java or Kotlin, create a user interface, and more! | |
Разместил: Ingvar16 12-07-2021, 18:59 | Комментарии: 0 | Подробнее
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 Название: Dive into Deep Learning (Release 0.16.6)
Автор: Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola
Издательство: D2L
Год: 2021
Формат: PDF
Страниц: 1029
Размер: 27,3 Mb
Язык: English
This book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code.
Just a few years ago, there were no legions of deep learning scientists developing intelligent products and services at major companies and startups. When we entered the field, machine learning did not command headlines in daily newspapers. Our parents had no idea what machine learning was, let alone why we might prefer it to a career in medicine or law. Machine learning was a blue skies academic discipline whose industrial significance was limited to a narrow set of real-world applications, including speech recognition and computer vision. Moreover, many of these applications required so much domain knowledge that they were often regarded as entirely separate areas for which machine learning was one small component. At that time, neural networks—the predecessors of the deep learning methods that we focus on in this book—were generally regarded as outmoded. | |
Разместил: vitvikvas 12-07-2021, 18:34 | Комментарии: 0 | Подробнее
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 Название: Python Machine Learning Projects
Автор: Lisa Tagliaferri, Michelle Morales, Ellie Birbeck, and Alvin Wan
Издательство: DigitalOcean
Год: 2019
Формат: PDF
Страниц: 135
Размер: 10 Mb
Язык: English
This book of Python projects in machine learning tries to equip the developers of today and tomorrow with tools they can use to better understand, evaluate, and shape machine learning. | |
Разместил: vitvikvas 12-07-2021, 16:48 | Комментарии: 0 | Подробнее
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