Название: Pro Cryptography and Cryptanalysis with C++20: Creating and Programming Advanced Algorithms
Автор: Marius Iulian Mihailescu, Stefania Loredana Nita
Издательство: Apress
Год: 2021
Формат: True PDF
Страниц: 472
Размер: 12,5 Mb
Язык: English

Develop strong skills and a passion for writing cryptography algorithms and security schemes/modules using C++ 20 and its new features. You will find the right methods of writing advanced cryptographic algorithms (such as, elliptic curve cryptography algorithms, lattice-based cryptography, searchable encryption, and homomorphic encryption), examine internal cryptographic mechanisms, and discover common ways in which the algorithms could be implemented and used correctly in practice.

Название: Practicing Trustworthy Machine Learning: Consistent, Transparent, and Safe AI Pipelines (Second Early Release)
Автор: Yada Pruksachatkun, Matthew McAteer, Subhabrata Majumdar
Издательство: O’Reilly Media, Inc.
Год: 2022-10-14
Страниц: 313
Язык: английский
Формат: epub (true), mobi
Размер: 47.3 MB

With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable. This book is written for anyone who is currently working with Machine Learning models and wants to be sure that the fruits of their labor will not cause unintended harm when released into the real world. The primary audience of the book are engineers and data scientists who have some familiarity with Machine Learning. Parts of the book should be accessible to non-engineers, such as product managers and executives with a conceptual understanding of ML. Some of you may be building ML systems that make higher-stakes decisions than they encountered in your previous job or in academia. We assume you are are familiar with the very basics of deep learning, and Python for the code samples.

Название: Frontend Development: The Ultimate Guide
Автор: Sufyan bin Uzayr
Издательство: CRC Press
Год: 2023
Страниц: 179
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Frontend development is the process of creating user-interactive components. User interfaces, buttons, user-entered data, webpages, and user experience (UX) features are all examples of frontend development. User experience is the primary focus of frontend development. The essential foundations of frontend web development have always been HTML, CSS, and jаvascript. jаvascript is a text-based, interpreted programming or scripting language that enables us to add advanced functionality to any web page. jаvascript is incredibly lightweight and is mostly used for scripting web pages. It is also used to build web applications that interact with the client without reloading the page every time. jаvascript was mainly designed for creating network-centric applications. It is open as well as a cross-platform programming language.

Название: Adversarial Robustness for Machine Learning
Автор: Pin-Yu Chen, Cho-Jui Hsieh
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 300
Язык: английский
Формат: pdf (true), epub
Размер: 31.9 MB

Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on adversarial attack, defense and verification. Sections cover adversarial attack, verification and defense, mainly focusing on image classication applications which are the standard benchmark considered in the adversarial robustness community. Other sections discuss adversarial examples beyond image classification, other threat models beyond testing time attack, and applications on adversarial robustness. For researchers, this book provides a thorough literature review that summarizes latest progress in the area, which can be a good reference for conducting future research. In addition, the book can also be used as a textbook for graduate courses on adversarial robustness or trustworthy Machine Learning. While Machine Learning (ML) algorithms have achieved remarkable performance in many applications, recent studies have demonstrated their lack of robustness against adversarial disturbance.

Название: Swarm Intelligence Optimization: Algorithms and Applications
Автор: Abhishek Kumar, Pramod Singh Rathore
Издательство: Wiley-Scrivener
Год: 2021
Страниц: 354
Язык: английский
Формат: pdf (true)
Размер: 17.96 MB

Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, Computer Science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization. Swarm intelligence is the subject that deals with natural and artificial structures composed of many people that coordinate the usage of decentralized manage and self-organization. In particular, the discipline specializes in the collective behaviors that end result from the local interactions of the people with each different and with their environment. Examples of structures studied by using swarm intelligence are colonies of ants and termites, colleges of fish, flocks of birds, and herds of land animals.

Название: Handbook on Artificial Intelligence-Empowered Applied Software Engineering: Vol.1-2
Автор: Maria Virvou, George A. Tsihrintzis, Nikolaos G. Bourbakis
Издательство: Springer
Серия: Artificial Intelligence-Enhanced Software and Systems Engineering
Год: 2022
Страниц: 342+209
Язык: английский
Формат: pdf (true)
Размер: 21.6 MB

Significant current research efforts are devoted to the efficient incorporation of Artificial Intelligence (AI) enhancements into software and the empowerment of software with Artificial Intelligence. The goal of this research is dual: (i) to develop algorithms, mechanisms, methodologies, and procedures that allow software to learn and evolve (i.e., to become better, user-friendlier and more efficient at performing specific tasks), either on its own or with the help of a supervisor/instructor, and (ii) to enhance the whole Software Engineering process, including the use of Artificial Intelligence to (at least partially) automate software development, and reflect the incorporation of knowledge engineering and knowledge acquisition, prototyping and rapid application development of intelligent software modules.

Название: Terraform Cookbook: Recipes for Codifying Infrastructure (2nd Early Release)
Автор: Kerim Satirli, Taylor Dolezal
Издательство: O’Reilly Media, Inc.
Год: 2022-10-17
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB

If you want to save time and avoid pitfalls when working with Terraform and the HashiCorp Configuration Language (HCL), this easy-to-use cookbook gives you battle-tested, step-by-step recipes to help you deploy with confidence across all of your infrastructure stacks. Each recipe includes self-contained code solutions that you can freely use, along with a discussion of how and why they work. Terraform comes standard with an extensive library of built-in functions. Available in any Terraform file (including modules) and the Terraform Console, functions can validate, combine format, and transform data. Functions are integral to creating reusable and less error-prone infrastructure by allowing for a more complex definition of your infrastructure as code.

Название: Engineering Deep Learning Systems
Автор: Chi Wang and Donald Szeto
Издательство: Manning Publications
Год: 2022 MEAP V7
Формат: True PDF
Страниц: 280
Размер: 27,1 Mb
Язык: English

Design systems optimized for deep learning models. Written for software engineers, this book teaches you how to implement a maintainable platform for developing deep learning models. Engineering Deep Learning Systems is a practical guide for software engineers and data scientists who are designing and building platforms for deep learning. It’s full of hands-on examples that will help you transfer your software development skills to implementing deep learning platforms.

Название: Code Like a Pro in Rust (MEAP)
Автор: Brenden Matthews
Издательство: Manning Publications
Год: 2022 V9
Формат: True PDF
Страниц: 327
Размер: 19,1 Mb
Язык: English

Get ready to code like a pro in Rust! This hands-on guide dives deep into memory management, asynchronous programming, and Rust design patterns and explores essential productivity techniques like testing, tooling, and project management.
Code Like A Pro in Rust is a fast-track guide to building and delivering professional quality software in Rust. You’ll upgrade your basic knowledge of Rust with conventions, best practices, and veteran’s secrets that are normally only learned through years of experience. Skip the fluff and get right to the heart of this powerful modern language, including Rust’s support for asynchronous programming and integrating Rust with codebases written in other languages.

Название: Knowledge Graphs Applied
Автор: Alessandro Negro, Vlastimil Kus, Giuseppe Futia, Fabio Montagna
Издательство: Manning Publications
Год: 2022 V2
Формат: True PDF
Страниц: 133
Размер: 10 Mb
Язык: English

Knowledge graphs help understand relationships between the objects, events, situations, and concepts in your data so you can readily identify important patterns and make better decisions. This book provides tools and techniques for efficiently labeling data, modeling a knowledge graph, and using it to derive useful insights.