Название: Multi-Criteria Decision Models in Software Reliability: Methods and Applications
Автор: Ashish Mishra, Nguyen Thi Dieu Linh, Manish Bhardwaj
Издательство: CRC Press
Год: 2023
Страниц: 321
Язык: английский
Формат: pdf (true)
Размер: 23.2 MB

In the present era, software reliability plays a vital role in solving different kinds of problems and providing promising solutions in digital world. Because of the increase in digitalisation in today’s lifestyle and each and every service to make the life easier, good software interfaces are required. Due to the increase in the usability and dependency on software, one important feature matters a lot, that is software reliability. The success of incorporation of the heavy software in the system works only with reliability feature. Such reliability depends upon different criteria and the deployed environment. It does not always relate to one or two factors, but it depends upon various factors such as physical or virtual. The Chapter 2 focuses on the examination of relevant literature and provides a conceptual framework that explains the role of Machine Learning (ML) and profound learning in the development of intelligent (artifcial) beings. The Chapter 3 reviews the various classifcations used to predict software defects using software measurements in the literature. In this chapter, a detailed analysis of application of data mining and Machine Learning approaches used for software quality, defect and quality analysis is presented.

Название: ANOVA and Mixed Models: A Short Introduction Using R
Автор: Lukas Meier
Издательство: CRC Press
Серия: The R Series
Год: 2023
Страниц: 202
Язык: английский
Формат: pdf (true)
Размер: 11.4 MB

ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and researcher a compact introduction to the analysis of data from the most popular experimental designs. Based on knowledge from an introductory course on probability and statistics, the theoretical foundations of the most important models are introduced. The focus is on an intuitive understanding of the theory, common pitfalls in practice, and the application of the methods in R. From data visualization and model fitting, up to the interpretation of the corresponding output, the whole workflow is presented using R. The book does not only cover standard ANOVA models, but also models for more advanced designs and mixed models, which are common in many practical applications.

Название: Nonparametric Statistics with Applications to Science and Engineering with R, 2nd Edition
Автор: Paul Kvam, Brani Vidakovic, Seong-joon Kim
Издательство: Wiley
Год: 2023
Страниц: 451
Язык: английский
Формат: pdf (true)
Размер: 11.0 MB

Introduction to the methods and techniques of traditional and modern nonparametric statistics, incorporating R code. Nonparametric Statistics with Applications to Science and Engineering presents modern nonparametric statistics from a practical point of view, with the newly revised edition including custom R functions implementing nonparametric methods to explain how to compute them and make them more comprehensible. Relevant built-in functions and packages on CRAN are also provided with a sample code. R codes in the new edition not only enable readers to perform nonparametric analysis easily, but also to visualize and explore data using R's powerful graphic systems, such as ggplot2 package and R base graphic system.

Название: Functional Programming with C#: Create More Supportable, Robust, and Testable Code (Fourth Early Release)
Автор: Simon J. Painter
Издательство: O’Reilly Media, Inc.
Год: 2022-10-07
Страниц: 121
Язык: английский
Формат: epub (true), mobi
Размер: 10.1 MB

After decades of relative obscurity, functional programming is finally coming into its own. With concise, easy-to-read code that supports asynchronous, concurrent processing, aspects of functional programming have begun to appear in several traditionally object-oriented languages such as C# and Java. This practical book shows C# programmers how to use functional programming features without having to navigate an entirely new language. Because of the shared runtime environment common to C# and F# languages, it's possible to use most of F#'s functional features in C# as well. Author Simon J. Painter explains how you can write functional code in C# right away, without having to install dependencies or features newer than .NET 3. You'll learn why functional programming concepts can bring immediate benefit to your work.

Название: Scaling Python with Ray: Adventures in Cloud and Serverless Patterns (Sixth Early Release)
Автор: Holden Karau, Boris Lublinsky
Издательство: O’Reilly Media, Inc.
Год: 2022-10-07
Страниц: 250
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB

Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed. With the Ray general-purpose serverless implementation in Python, programmers and data scientists can hide servers, implement stateful applications, support direct communication between tasks, and access hardware accelerators. We wrote this book for developers and data scientists looking to build and scale applications in Python without becoming systems administrators. We expect this book to be most beneficial for individuals and teams dealing with the growing complexity and scale of problems moving from single-threaded solutions to multi-threaded, all the way to distributed computing. While you can use Ray from Java, this book is in Python, and we assume a general familiarity with the Python ecosystem.

Название: Blockchain Tethered AI: How to Tether Artificial Intelligence with Smart Contracts and Tamper-Evident Ledgers (Second Early Release)
Автор: Karen Kilroy, Deepak Bhatta, Lynn Riley
Издательство: O’Reilly Media, Inc.
Год: 2022-10-07
Страниц: 166
Язык: английский
Формат: epub (true)
Размер: 26.2 MB

Remove your doubts about AI and explore how this technology can be future-proofed using blockchain's smart contracts and tamper-evident ledgers. With this practical book, system architects, software engineers, and systems solution specialists will learn how enterprise blockchain provides permanent provenance of AI, removes the mystery, and allows you to validate AI before it's ever used. This book is intended for software architects and developers who want to write AI that can be kept under control. It assumes that the reader already has an understanding of AI systems and is aware of the concerns that arise from the release of these systems. It is also assumed that the reader is somewhat familiar with blockchain and how it works. In order to complete the exercises, the reader should first become familiar with NodeJS, Hyperledger Fabric, and TensorFlow, PyTorch, or another popular AI library, and be able to set up an appropriate development environment in which to perform the exercises.

Название: Coding for Beginners - 12th Edition, 2022
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2022
Страниц: 97
Язык: английский
Формат: pdf
Размер: 73.8 MB

Helping You with Your First Steps in Coding! There’s a wealth of choice for anyone wanting to learn how to program but which language do you start with? Python is widely accepted as the best beginners programming language but C++ is one of the most powerful. Linux scripting is a useful skill in today’s job market and coding on the Raspberry Pi with the FUZE is perfect for projects.

Название: The Well-Grounded Java Developer, 2nd Edition (Final Release)
Автор: Benjamin Evans, Jason Clark, Martijn Verburg
Издательство: Manning Publications
Год: 2022
Страниц: 702
Язык: английский
Формат: pdf (true)
Размер: 18.8 MB

Understanding Java from the JVM up gives you a solid foundation to grow your expertise and take on advanced techniques for performance, concurrency, containerization, and more. The Well-Grounded Java Developer, Second Edition is a complete revision of the classic original with the latest innovations of the Java platform. It upgrades your existing Java skills with both JVM fundamentals like bytecode, and powerful new features such as modules and concurrency models.

Название: Federated and Transfer Learning
Автор: Roozbeh Razavi-Far, Boyu Wang, Matthew E. Taylor, Qiang Yang
Издательство: Springer
Год: 2023
Страниц: 371
Язык: английский
Формат: pdf (true)
Размер: 12.9 MB

This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of Federated Learning (FL) as well as its connection with transfer learning and Reinforcement Learning. Over the last few years, the Machine Learning (ML) community has become fascinated by federated and transfer learning. Transfer and federated learning have achieved great success and popularity in many different fields of application. The intended audience of this book is students and academics aiming to apply federated and transfer learning to solve different kinds of real-world problems, as well as scientists, researchers, and practitioners in AI industries, autonomous vehicles, and cyber-physical systems who wish to pursue new scientific innovations and update their knowledge on federated and transfer learning and their applications.

Название: Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems (Fifth Early Release)
Автор: Hala Nelson
Издательство: O’Reilly Media, Inc.
Год: 2022-10-06
Страниц: 602
Язык: английский
Формат: epub (true)
Размер: 18.7 MB

Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field.