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  • Добавил: literator
  • Дата: 17-05-2023, 02:08
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The Secrets of AI: a Math-Free Guide to Thinking MachinesНазвание: The Secrets of AI: a Math-Free Guide to Thinking Machines
Автор: Mukesh Borar
Издательство: Independently published
Год: 2023
Страниц: 117
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.19 MB

AI is undoubtedly the most critical technology that we must understand today. It is affecting everyone’s career, business and profession. However, AI is a complex and mysterious technology. To understand it, we have to climb a mountain of cryptic mathematical concepts and formulas, and success may still be elusive. ‘The Secrets of AI’ addresses this and explains AI in a simple, math-free language. This book sidesteps arcane algorithmic details and presents AI from the important perspectives of – intelligence, engineering, design, learnability, trust and business. It provides deep insights into the symbiotic relationships between data, learning and intelligence. The book has a strong focus on AI engineering. The AI development lifecycle is illustrated with an exhaustive case study on AI-driven live coverage of sports. It includes domain study, model architecture, feature engineering, model training, deployment and feedback learning. The book describes several design patterns and heuristics that are useful for building successful AI-powered systems.

  • Добавил: literator
  • Дата: 17-05-2023, 00:59
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Introduction to Software Testing: A Practical Guide to Testing, Design, Automation, and ExecutionНазвание: Introduction to Software Testing: A Practical Guide to Testing, Design, Automation, and Execution
Автор: Panagiotis Leloudas
Издательство: Apress
Год: 2023
Страниц: 219
Язык: английский
Формат: pdf
Размер: 10.2 MB

Get started and hit the ground running in the world of software testing. This simple and practical guide teaches you the fundamentals of software testing, with no prior experience required. You will start by learning functional and non-functional software testing. Then you will gain an understanding of the primary responsibilities of a tester in the Software Development Life Cycle and how to plan and execute testing activities. You will also learn how testing applies to an agile environment, what challenges you might face in your day-to-day life as a tester, and how to overcome them. You will learn the most commonly used test design techniques, with ample examples and exercises to practice yourself. This book takes you on a journey around the software testing world, covering the basic principles and techniques and showing examples of how to apply them. Software testing is a safeguard of the quality of a software product, and a tester is responsible for reporting on the quality status.

  • Добавил: literator
  • Дата: 17-05-2023, 00:31
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SwiftUI Apprentice (2nd Edition)Название: SwiftUI Apprentice (2nd Edition)
Автор: Audrey Tam, Caroline Begbie
Издательство: Kodeco Inc.
Год: 2023
Страниц: 722
Язык: английский
Формат: pdf (true)
Размер: 140.7 MB

If you're new to iOS programming, this is the book for you! Learn to build beautiful, fully-functional apps using Apple’s hottest user interface technology: SwiftUI!SwiftUI Apprentice is a series of epic-length tutorials where you’ll learn to build three complete apps from scratch, using Apple’s new user interface technology: SwiftUI! Each app is more advanced than the one before, and together, they cover everything to make your own apps using SwiftUI. By the end of the book, you’ll be experienced enough to turn your ideas into real apps you can sell on the App Store. These tutorials have easy to follow step-by-step instructions and consist of more than pages and illustrations! You also get full source code, image files, and other resources you can re-use for your own projects.

  • Добавил: literator
  • Дата: 16-05-2023, 19:07
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Computational Aspects of Psychometric Methods With RНазвание: Computational Aspects of Psychometric Methods With R
Автор: Patricia Martinkova, Adela Hladka
Издательство: CRC Press
Год: 2023
Страниц: 348
Язык: английский
Формат: pdf (true)
Размер: 21.8 MB

This book covers the computational aspects of psychometric methods involved in developing measurement instruments and analyzing measurement data in social sciences. It covers the main topics of psychometrics such as validity, reliability, item analysis, item response theory models, and computerized adaptive testing. The computational aspects comprise the statistical theory and models, comparison of estimation methods and algorithms, as well as an implementation with practical data examples in R and also in an interactive ShinyItemAnalysis application. In this book, we use R which is a freely available statistical environment. There are a number of things that make R a great choice for psychometric analysis: Besides being free, it is also open source software, meaning that the code is available for the user, and it is possible to check what a given function does or how the methods are implemented. It offers up-to-date methods as a number of statisticians and researchers from different fields implement the newly published algorithms and methods in R.

  • Добавил: literator
  • Дата: 16-05-2023, 18:04
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Hypergraph ComputationНазвание: Hypergraph Computation
Автор: Qionghai Dai, Yue Gao
Издательство: Springer
Серия: Artificial Intelligence: Foundations, Theory, and Algorithms
Год: 2023
Страниц: 251
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Artificial Intelligence (AI) is now everywhere and fuels both industry and daily life all over the world. We are in the era of “Big Data,” and huge sums of information can be obtained which are too cumbersome for people to process themselves. These Big Data are even with much complex correlations behind them in various areas, such as computer vision and social media. For example, the complex correlations among pixels in an image reveal its semantic information, and different types of correlations among social posts infer the users’ emotions. Therefore, developing effective AI methods to exploit such complex data correlations has become an urgent but challenging task. Graph has been widely used to formulate data correlations. A graph is a non-linear data structure which is composed of groups of vertices and edges, representing the pairwise correlations among vertices. Graph learning and graph neural networks have attracted much attention in both research and industrial fields and become very hot topics in these years. It is noted that the world is far more complex than just pairwise connections, and thus graph-based methods still have limitations on high-order correlation modeling. Hypergraph, as a generation of graph, is able to formulate such high-order correlations among the data and has been investigated in last decades. Recent years have witnessed a great popularity of research on hypergraph-related AI methods, which have been used in computer vision, social media analysis, and etc.

  • Добавил: literator
  • Дата: 15-05-2023, 20:43
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Building Modern Business Applications: Reactive Cloud Architecture for Java, Spring, and PostgreSQLНазвание: Building Modern Business Applications: Reactive Cloud Architecture for Java, Spring, and PostgreSQL
Автор: Peter Royal
Издательство: Apress
Год: 2023
Страниц: 189
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.2 MB

Discover a new way of thinking about business applications in light of the massive industry shift toward cloud computing and reactive programming technologies. This book synthesizes technologies and techniques such as event sourcing, command query responsibility segregation (CQRS), property-based testing, and GraphQL into a cohesive guide for modern business applications that benefit every developer. The book begins with a look at the fundamentals of modern business applications. These fundamentals include business rules and the managing of data over time. The benefits of reactive techniques are explained, including how they are fundamentally aligned with what application developers strive to achieve in their work. Author Peter Royal equips you with sound guidance to follow as you evolve your existing systems, as well as examples of how to build those systems using modern techniques in Spring, Java, and PostgreSQL.
  • Добавил: polyanskiy
  • Дата: 15-05-2023, 17:36
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Автор: Ю. М. Смирнов, Г. Н. Воробьев. Ред. Ю. М. Смирнов
Название: Специализированные ЭВМ. Перспективы развития вычислительной техники
Издательство: М:, Высшая школа
Год: 1989
Страниц: 144
Формат: DJVU, PDF
Размер: 12 МБ
В пособии рассмотрены основные особенности построения и применения специализированных ЭВМ (СЭВМ), являющихся составной частью информационно-управляющих систем различных назначений. Проанализировано современное состояние в области разработки и использования СЭВМ, направления их перспективного развития. Уделено внимание вопросам промышленной технологии создания программного обеспечения — наиболее трудоемкой компоненты таких ЭВМ.
  • Добавил: literator
  • Дата: 15-05-2023, 14:11
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Data Structures in JavaНазвание: Data Structures in Java
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2023
Страниц: 248
Язык: английский
Формат: pdf (true)
Размер: 10.8 MB

This book is a fast-paced introduction to using data structures with Java. Numerous code samples and listings are included to support myriad topics. The first chapter contains a quick introduction to Java, along with Java code samples to check for leap years, find divisors of a number, and work with arrays of strings. The second chapter introduces recursion and usescode samples to check if a positive number is prime, to find the prime divisors of a positive integer, to calculate the GCD (greatest common divisor) and LCM (lowest common multiple) of a pair of positive integers. The third chapter contains Java code samples involving strings and arrays, such as finding binary substrings of a number, checking if strings contain unique characters, counting bits in a range of numbers, and how to compute XOR without using the XOR function. Chapters 4 through 6 include Java code samples involving search algorithms, concepts in linked lists, and tasks involving linked lists. Finally, Chapter 7 discusses data structures called queues and stacks, along with additional Java code samples.

  • Добавил: polyanskiy
  • Дата: 15-05-2023, 08:08
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Автор: Н. Л. Прохоров, К. В. Песелев. Ред. Ю. М. Смирнов
Название: Малые ЭВМ. Перспективы развития вычислительной техники
Издательство: М:, Высшая школа
Год: 1989
Страниц: 158
Формат: DJVU, PDF
Размер: 14 МБ

В пособии излагаются основные сведения по архитектуре, системотехническим характеристикам, принципам комплексирования высоконадежных производительных вычислительных систем на базе малых ЭВМ и анализируются перспективные направления развития наиболее массовых средств вычислительной техники.
  • Добавил: literator
  • Дата: 15-05-2023, 03:06
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Edge Intelligence: From Theory to PracticeНазвание: Edge Intelligence: From Theory to Practice
Автор: Javid Taheri, Schahram Dustdar, Albert Zomaya, Shuiguang Deng
Издательство: Springer
Год: 2023
Страниц: 254
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This graduate-level textbook is ideally suited for lecturing the most relevant topics of Edge Computing and its ties to Artificial Intelligence (AI) and Machine Learning (ML) approaches. The book starts from basics and gradually advances, step-by-step, to ways AI/ML concepts can help or benefit from edge computing platforms. Using practical labs, each topic is brought to earth so that students can practice their learned knowledge with industry-approved software packages. The book is structured into seven chapters; each comes with its own dedicated set of teaching materials (practical skills, demonstration videos, questions, lab assignments, etc.). Chapter 1 opens the book and comprehensively introduces the concept of distributed computing continuum systems that led to the creation of Edge Computing. Chapter 2 motivates the use of container technologies and how they are used to implement programmable edge computing platforms. Chapter 3 introduces ways to employ AI/ML approaches to optimize service lifecycles at the edge. Chapter 4 goes deeper in the use of AI/ML and introduces ways to optimize spreading computational tasks along edge computing platforms.