Название: Quantum Computing: Innovations and Applications in Modern Research
Автор: Bruno Carpentieri
Издательство: ITexLi
Год: 2024
Страниц: 105
Язык: английский
Формат: pdf
Размер: 10.1 MB

This volume explores the potential of quantum technologies. The book features insightful perspectives on quantum mechanics, computational paradigms, and practical applications, and it explores key concepts such as quantum entanglement, adiabatic computing, and quantum algorithms. Readers will discover how quantum systems are revolutionizing fields like cryptography, materials science, and artificial intelligence, promising faster computations and significant advances. Through a blend of theoretical exploration and practical insights, this book navigates the complexities of quantum communication, error correction, and the development of scalable quantum architectures. Ideal for researchers, students, and enthusiasts alike, it offers a gateway to understanding the current capabilities and future directions of quantum computing, demonstrating its potential for transforming technical developments and pushing scientific frontiers.

Название: Mathematical Introduction to Data Science
Автор: Sven A. Wegner
Издательство: Springer
Год: 2024
Страниц: 301
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Knowledge in the areas of Data Science and Machine Learning is increasingly expected from mathematics graduates and consequently, students of mathematics ask for these subjects to be included in the standard curricula. The idea behind this textbook is to present canonical Data Science and Machine Learning topics in a form tailored to the target audience of mathematics students. In doing so, our number one priority is a rigorous treatment that fosters profound understanding of the methods discussed. This includes in particular to always work out why exactly a method succeeds and to outline its limitations. This textbook is intended for students of mathematics who have completed the foundational courses of their undergraduate studies and now want to specialize in Data Science and Machine Learning. It introduces the reader to the most important topics in the latter areas focusing on rigorous proofs and a systematic understanding of the underlying ideas. The textbook comes with 121 classroom-tested exercises. Topics covered include k-nearest neighbors, linear and logistic regression, clustering, best-fit subspaces, principal component analysis, dimensionality reduction, collaborative filtering, perceptron, support vector machines, the kernel method, gradient descent and neural networks.

Название: Pro Spring Boot 3: An Authoritative Guide with Best Practices, 3rd Edition
Автор: Felipe Gutierrez
Издательство: Apress
Год: 2024
Страниц: 937
Язык: английский
Формат: pdf (true), epub (true)
Размер: 32.6 MB

This book will teach you how to build complex Spring applications and microservices out of the box, with minimal concern over things like configurations. Pro Spring Boot 3 will show you how to fully leverage Spring Boot 3's robust features and how to apply them to create enterprise-ready applications, microservices, and web/cloud applications that just work. Special focus is given to what's been added in the new Spring Boot 3 release, including support for Java 17 and 19; changes to Spring Security; Spring Boot Actuator with Micrometer updates; GraalVM support; RSocket service interfaces; many dependency upgrades; more flexible support for Spring Data JDBC, the new AOT (Ahead-of-Time Transformation); and much more. This book is your authoritative, pragmatic guide for increasing your enterprise Java and cloud application productivity while decreasing development time. It's a no-nonsense reference packed with casestudies that increase in complexity over the course of the book. The author, a senior solutions architect and Principal Technical instructor with VMware, the company behind the Spring Framework, shares his experience, insights, and firsthand knowledge about how Spring Boot technology works and best practices for getting the most out of it. This is an essential book for your Spring learning and reference library. For experienced Spring and Java developers seeking increased productivity gains and decreased complexity and development time in their applications and software services.

Название: Cryptography and Cryptanalysis in Java: Creating and Programming Advanced Algorithms with Java SE 21 LTS and Jakarta EE 11, 2nd Edition
Автор: Stefania Loredana Nita, Marius Iulian Mihailescu
Издательство: Apress
Год: 2024
Страниц: 306
Язык: английский
Формат: pdf (true), epub (true)
Размер: 14.7 MB

Here is your in-depth guide to cryptography and cryptanalysis in Java. This book includes challenging cryptographic solutions that are implemented in Java 21 and Jakarta EE 11. It provides a robust introduction to Java 21's new features and updates, a roadmap for Jakarta EE 11 security mechanisms, a unique presentation of the "hot points" (advantages and disadvantages) from the Java Cryptography Architecture (JCA), a new chapter on Quantum cryptography, and more. The book dives into the classical simple cryptosystems that form the basis of modern cryptography, with fully working solutions (encryption/decryption operations). Pseudo-random generators are discussed as well as real-life implementations. Hash functions are covered along with practical cryptanalysis methods and attacks, asymmetric and symmetric encryption systems, signature and identification schemes. The book wraps up with a presentation of lattice-based cryptography and the NTRU framework library. Modern encryption schemes for cloud and big data environments (homomorphic encryption and searchable encryption) also are included. After reading and using this book, you will be proficient with crypto algorithms and know how to apply them to problems you may encounter. Applied cryptography and theoretical cryptography are essential components of the greater science of cryptography, each playing unique but interrelated functions. Comprehending the distinctions between them helps provide an understanding of how cryptographic systems are created, examined, and put into practice. Theoretical cryptography is a branch of cryptography that focuses on the fundamental principles, mathematical theories, and abstract models underlying cryptographic algorithms and protocols. Applied cryptography is a field that deals with the practical implementation and utilization of cryptographic methods in real-world scenarios.

Название: Mastering Postman, Second Edition: Expert walkthrough to build end-to-end APIs including testing, integration and automation
Автор: Oliver James
Издательство: GitforGits
Год: 2024
Страниц: 243
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

A must-have for anyone looking to become an expert as API developer, tester, integrator, or manager; this revised and updated edition of "Mastering Postman" covers every aspect of API development, including the noteworthy new features of Postman 11. In this all-inclusive book, developers of all skill levels will find modern methods and best practices that cover every stage of the API lifecycle. This book provides a solid grounding in API design, documentation, and implementation, starting with the basics of Postman 11. Using Postman's most recent features, you'll learn the ins and outs of automated testing, error handling, and real-time monitoring—all of which are essential for APIs. It focuses mostly on the updated features of Postman 11. This version discusses the new scripting features that enable more complex testing scenarios, as well as the improved integration options that make connecting to other platforms and services easier than ever before. Also covered is the latest Postman CLI and how to use it to automate and improve API testing and deployment in CI/CD pipelines. It also covers Postman's real-time collaboration features helping API teams collaborate more efficiently. You will also find out how to use Postman's new performance testing features, such as advanced load testing, to make sure your APIs can manage actual user traffic.

Название: Ultimate MLOps for Machine Learning Models: Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps
Автор: Saurabh D. Dorle
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 484
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

The only MLOps guide you'll ever need. This book is an essential resource for professionals aiming to streamline and optimize their Machine Learning operations. This comprehensive guide provides a thorough understanding of the MLOps life cycle, from model development and training to deployment and monitoring. By delving into the intricacies of each phase, the book equips readers with the knowledge and tools needed to create robust, scalable, and efficient Machine Learning workflows. Key chapters include a deep dive into essential MLOps tools and technologies, effective data pipeline management, and advanced model optimization techniques. The book also addresses critical aspects such as scalability challenges, data and model governance, and security in machine learning operations. Each topic is presented with practical insights and real-world case studies, enabling readers to apply best practices in their job roles. Whether you are a data scientist, ML engineer, or IT professional, this book empowers you to take your Machine Learning projects from concept to production with confidence. This book is for data scientists, Machine Learning engineers, and data engineers aiming to master MLOps for effective model management in production. It’s also ideal for researchers and stakeholders seeking insights into how MLOps drives business strategy and scalability, as well as anyone with a basic grasp of Python and Machine Learning looking to enter the field of Data Science in production.

Название: Build: Elements of an Effective Software Organization
Автор: Rebecca Murphey, Otto Hilska
Издательство: Swarmia
Год: 2024
Страниц: 126
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Building software is hard. Running an effective software engineering organization is harder. Build: Elements of an Effective Software Organization is a guide to help good software teams get better and remain effective as the organization grows and evolves. Build is a blueprint for continuous improvement. It zeroes in on three key ingredients: a relentless focus on business outcomes, actionable insights to boost the productivity of your software teams, and a thoughtful approach to improving the experience of building software at your company. The systems and ecosystems we build to help us deliver software products are fundamentally human, and no organization is exactly like another. Whether you’re at the outset of a journey to hone the value created by your software development organization or you’re already somewhere along the way, finding the best path to success starts by understanding the unique context of your company. To that end, this book is not a mere collection of recommendations; it’s a guide to understanding the bigger picture of engineering effectiveness, including hard-earned wisdom about the inevitable pitfalls and dead-end paths that may tempt you along the way. Whether you’re a leader, a manager, or anyone invested in seeing your team or organization improve, Build provides the roadmap you need to drive meaningful, impactful progress.

Название: Python Programming Concepts
Автор: MRB, Mittul Bhatt
Издательство: Mittul Bhatt
Год: 2024
Страниц: 91
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Python is a versatile, high-level programming language renowned for its simplicity and readability. It was created by Guido van Rossum and first released in 1991, making it one of the older programming languages still widely used today. Python's design philosophy emphasizes code readability with its clear and expressive syntax, making it an ideal language for both beginners and experienced developers alike. Overall, Python's simplicity, versatility, and extensive ecosystem make it a popular choice for a wide range of applications, from scripting and automation to web development, scientific computing, and artificial intelligence. Its ease of learning and use, combined with its powerful features, have contributed to its widespread adoption and continued relevance in the programming community.

Название: MySQL и Delphi. Базы данных. Технология FireDAC
Автор: Д.Л. Осипов
Издательство: Издательские решения
Год: 2017
Страниц: 624
Язык: русский
Формат: pdf
Размер: 14.2 MB

Разработка клиент-серверных проектов баз данных c использованием системы управления базами данных MySQL и языка программирования Delphi на основе технологии доступа к данным FireDAC. Достаточно давно, в середине 90-х годов прошлого века при появлении на свет самой первой версии Delphi о новом языке программирования в первую очередь говорили, как о превосходном инструменте для разработки настольных и клиент-серверных приложений баз данных. Спустя более 20 лет современная среда проектирования RAD Studio компании Embarcadero (ключевым элементом которой по-прежнему выступает Delphi) не только не утратила позиций в этом сегменте компьютерного рынка, но и существенно нарастила свои возможности. Судите сами, RAD Studio позиционируется как среда проектирования, поддерживающая самые распространенные и успешные системы управления базами данных (СУБД). Более того, языки программирования, входящие в состав RAD Studio, являются кроссплатформенными и позволяют разрабатывать программное обеспечение не только для Microsoft Windows, но и для OS X, Linux и для мобильных платформ Android и iOS. К сожалению, в одной книге невозможно даже поверхностно охватить весь спектр СУБД, с которыми способен работать язык Delphi. Поэтому в качестве целевой СУБД выбрана одна из самых популярных у современных разработчиков платформ — MySQL. Именно этой СУБД и посвящена первая часть материала. Во второй части книги мы сосредоточим свое внимание на создании клиентских приложений БД в основу которых положена новая для программистов Delphi технология доступа к данным FireDAC.

Название: AI Based Advancements in Biometrics and its Applications
Автор: Balasubramaniam S, Seifedine Kadry, A. Prasanth, Rajesh Kumar Dhanaraj
Издательство: CRC Press
Год: 2025
Страниц: 274
Язык: английский
Формат: pdf (true)
Размер: 16.0 MB

This book delves into the history of biometrics, the different systems that have been developed to date, problems that have arisen from these systems, the necessity of AI-based biometrics systems, different AI techniques developed to date (including Machine Learning, Deep Learning, natural language processing, and pattern recognition), their potential uses and applications, security and privacy issues in AI-based Biometric systems, current trends in AI-based biometrics, and presents case studies of AI-based biometrics. The term ‘biometrics’ refers to the distinctive physical or behavioural characteristics of an individual that can be exploited for the purpose of electronic identification and authentication. Among the many types of biometric identifiers, some examples are fingerprints, face traits, speech patterns, and handwriting speed. Each one of these identities can be used independently as a unique identifier for a certain individual, and they can also be used in conjunction with one another to increase the reliability of identification. Today, biometrics are finding an increasing number of applications across a wide range of industries. The utilisation of Artificial Intelligence (AI) in the field of biometrics is rapidly developing, with the objective of enhancing the dependability, efficiency, and safety of biometric identification systems. There are numerous applications of AI that can be utilised to improve biometric systems.