Название: Optimization of Automated Software Testing Using Meta-Heuristic Techniques
Автор: Manju Khari, Deepti Bala Mishra, Biswaranjan Acharya
Издательство: Springer/EAI
Год: 2022
Страниц: 189
Язык: английский
Формат: pdf (true), epub
Размер: 18.9 MB

This book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing. While the book highlights on the foundations of software testing techniques, it also focuses on contemporary topics for research and development. This book covers the automated process of testing in different levels like unit level, integration level, performance level, evaluation of testing strategies, testing in security level, optimizing test cases using various algorithms, and controlling and monitoring the testing process etc. This book aids young researchers in the field of optimization of automated software testing, provides academics with knowledge on the emerging field of AI in software development, and supports universities, research centers, and industries in new projects using AI in software testing.

Название: Machine Learning for Cybersecurity: Innovative Deep Learning Solutions
Автор: Marwan Omar
Издательство: Springer
Год: 2022
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This SpringerBrief presents the underlying principles of Machine Learning (ML) and how to deploy various Deep Learning (DL) tools and techniques to tackle and solve certain challenges facing the cybersecurity industry. By implementing innovative Deep Learning solutions, cybersecurity researchers, students and practitioners can analyze patterns and learn how to prevent cyber-attacks and respond to changing malware behavior. The knowledge and tools introduced in this brief can also assist cybersecurity teams to become more proactive in preventing threats and responding to active attacks in real time. It can reduce the amount of time spent on routine tasks and enable organizations to use their resources more strategically. In short, the knowledge and techniques provided in this brief can help make cybersecurity simpler, more proactive, less expensive and far more effective.

Название: Mastering GoLang: A Beginner's Guide
Автор: Sufyan bin Uzayr
Издательство: CRC Press
Год: 2023
Страниц: 299
Язык: английский
Формат: pdf (true), epub
Размер: 19.1 MB

Mastering GoLang helps readers quickly understand the core concepts and then move on to practical projects using the Go programming language. GoLang is often dubbed a game-changer in the world of programming languages. Instead of starting from scratch, Go was created using the C programming language. GoLang inherits C’s disciplined grammar but with specific tweaks and enhancements to properly manage memory. This lessens the memory leakage problems that developers tend to face with C. Go borrows and adapts notions from various programming languages while skipping characteristics that result in complicated, insecure, and unpredictable code. Go’s concurrency features are well-suited to build the infrastructure for gigantic projects such as networking systems and distributed hardware. Go is also often employed in domains such as visuals, mobile applications, and Machine Learning.

Название: Fuzzy- AI Model and Big Data Exploration: A Methodological Philosophy in Solving Problems in Digital Era
Автор: Shaopei Lin
Издательство: Springer
Год: 2022
Страниц: 354
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

“Fuzzy-AI Model” is an efficient tool of information treatment combined and based on fuzzy reasoning and artificial intelligence (AI) for solving the real-world problems. Moreover, due to the inborn deficiency in Big Data searching, the correctness of Big Data prediction will be depended upon whether the completeness of its source data or source information is satisfied, the latter one is usually difficult to be satisfied. Since the source data and source information are characterized in explicit and implicit one, the explicit information can be collected by sensors, detectors or information collectors; however, the implicit information usually exists in people’s mind, which is impossible to obtain by conventional means. For the completeness of source data/information and guaranteeing the correctness of Big Data prediction, one needs to “digging out” these implicit data/information. In this regard, “Fuzzy—AI Model” becomes an effective tool in this job for connecting of Big Data prediction and Big Data exploration.

Название: The Complete Python Coding & Programming Manual - 15th Edition 2022
Автор: Black Dog Media Limited
Издательство: Papercut Limited
Год: 2022
Страниц: 164
Язык: английский
Формат: pdf
Размер: 70,1 MB

Python - это универсальный язык, и рост его популярности, конечно, не удивителен. Его схожесть с повседневным английским языком сделала его идеальным компаньоном для Raspberry Pi, который часто является первым шагом в практическое программирование. Но пусть вас не обманывает его дружелюбие к новичкам - в Python есть множество более продвинутых функций. В этом новом издании вы узнаете, как программировать на Python, откроете для себя удивительные проекты для улучшения вашего понимания и найдете способы использования Python для расширения ваших возможностей в области вычислений. Вы также создадите увлекательные проекты, включая программирование клона Space Invaders и обучение Raspberry Pi многозадачности.

Название: Readings from Programming with C++
Автор: Kyla McMullen, Elizabeth Matthews
Издательство: Cengage Learning, Inc.
Год: 2022
Страниц: 620
Язык: английский
Формат: pdf (true)
Размер: 15.3 MB

Using a beginner's approach that's ideal for anyone who has never programmed, McMullen/Matthews/Parsons' READINGS FROM PROGRAMMING WITH C++ helps you develop a useful understanding of computer science while equipping you with the skills to use C++ programming language. This interesting, straightforward approach to programming emphasizes fundamental computer concepts using a programming language-independent approach and clear presentation with little technical jargon. Modules introduce important computer science concepts, procedural programming and object-oriented programming in short segments. Relevant real-world examples, streamlined code and descriptive figures help you better understanding today's computing concepts. You can tackle the learning modules in any order, interspersing conceptual modules with hands-on programming modules. You even refine critical-thinking and problem-solving skills as you strengthen computer science skills and build your confidence.

Название: jаvascript: The Hidden Parts: Building More Performant, Flexible, and Maintainable Applications (Second Early Release)
Автор: Milecia McGregor
Издательство: O’Reilly Media, Inc.
Год: 2022-08-29
Страниц: 142
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB

While plenty of educational material exists for beginning and advanced jаvascript developers, resources for intermediate-level engineers are scarce. Yet this is the career step where many developers often get stuck. With this practical book, you'll learn how to apply jаvascript theory in real projects, manage every stage of the software development lifecycle, and move your career forward. Author Milecia McGregor takes frontend, backend, and full stack engineers through all of the steps and considerations of senior jаvascript engineers, including making decisions based on product and user feedback. By the time you finish this book, you'll know how to create a production-level app for any size system you face.

Название: Swarm Intelligence: Trends and Applications
Автор: Wellington Pinheiro dos Santos, Juliana Carneiro Gomes, Valter Augusto de Freitas Barbosa
Издательство: CRC Press
Год: 2023
Страниц: 261
Язык: английский
Формат: pdf (true)
Размер: 18.2 MB

This book presents the fundamentals of Swarm Intelligence, from classic algorithms to emerging techniques. It presents comprehensive theoretical foundations and examples using the main Computational Intelligence methods in programming languages ​​such as Python, Java and MATLAB. Real-world applications are also presented in areas as diverse as Medicine, Biology and industrial applications. Symbolic Artificial Intelligence is based on modeling the solution of problems such as search and optimization. Initially marked by statistical methods and Mathematical Programming, Symbolic Artificial Intelligence takes an evolutionary leap with meta-heuristics. From the inspiration in nature, with the advent of the Particle Swarm Optimization algorithm, Swarm Intelligence emerges.

Название: Learning Ray: Flexible Distributed Python for Machine Learning (7th Early Release)
Автор: Max Pumperla, Edward Oakes, Richard Liaw
Издательство: O’Reilly Media, Inc.
Год: 2022
Страниц: 220
Язык: английский
Формат: epub (true), mobi
Размер: 10.3 MB

Get started with Ray, the open source distributed computing framework that greatly simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale. Authors Max Pumperla, Edward Oakes, and Richard Liaw show you how to build reinforcement learning applications that serve trained models with Ray. You'll understand how Ray fits into the current landscape of data science tools and discover how this programming language continues to integrate ever more tightly with these tools. Distributed computation is hard, but with Ray you'll find it easy to get started.

Название: Machine Learning from Weak Supervision : An Empirical Risk Minimization Approach
Автор: Masashi Sugiyama, Han Bao, Takashi Ishida
Издательство: The MIT Press
Год: 2022
Страниц: 325
Язык: английский
Формат: pdf
Размер: 37.1 MB

Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization. Standard Machine Learning (ML) techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. In this book Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai and Gang Niu present theory and algorithms for weakly supervised learning, a paradigm of machine learning from weakly labeled data. Emphasizing an approach based on empirical risk minimization and drawing on state-of-the-art research in weakly supervised learning, the book provides both the fundamentals of the field and the advanced mathematical theories underlying them. It can be used as a reference for practitioners and researchers and in the classroom.