|
 |
|
 |
|
|
 |
|  |
|
 Название: Applied Quantum Computers: Learn about the Concept, Architecture, Tools, and Adoption Strategies for Quantum Computing and Artificial Intelligence
Автор: Dr. Patanjali Kashyap
Издательство: BPB Publications
Год: 2023
Страниц: 481
Язык: английский
Формат: epub (true)
Размер: 12.8 MB
Explore the tools and concepts for Quantum Computing. Quantum Computing is a hardware, software and technical architectural design paradigm that change traditional computing including Boolean logic with quantum laws and principles at the algorithmic and hardware level. Its use cases and applications can be found in artificial intelligence machine learning, metaverse, cryptography and blockchain technology. This book will help the readers quickly and accurately to understand quantum computing and related technologies by allowing them to make more informed and intelligent business and technical decisions. This book covers almost every aspect of quantum computing from concepts to algorithms to industrial applications. In addition, the book discusses practical guidelines and best practices for quantum computers and related technologies such as artificial intelligence, photonic and DNA computing wherever possible and as needed. If you're interested in writing code, a quick overview of Q#, a quantum programming language, is included in the book's appendix. At the end of each chapter, a textual summary of the chapter and mind maps is provided for the readers, making it possible for them to obtain an overall impression of the ideas presented in a single moment. | |
Разместил: Ingvar16 1-02-2023, 20:48 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
|
|
|
|
|
|
| |
|
 Название: Soft Computing for Smart Environments: Techniques and Applications
Автор: Mohamed Abdel-Basset, Ripon K. Chakrabortty, Abduallah Gamal
Издательство: CRC Press
Год: 2023
Страниц: 281
Язык: английский
Формат: pdf (true)
Размер: 15.8 MB
This book applies both industrial engineering and computational intelligence to demonstrate intelligent machines that solve real-world problems in various smart environments. It presents fundamental concepts and the latest advances in multi-criteria decision-making (MCDM) techniques and their application to smart environments. Though managers and engineers often use multi-criteria analysis in making complex decisions, many core problems are too difficult to model mathematically or have simply not yet been modeled. In response, as well as discussing AI-based approaches, Soft Computing for Smart Environments covers various optimization techniques, decision analytics, and Data Science in applying soft computing techniques to a defined set of smart environments, including smart and sustainable cities, disaster response systems, and smart campuses. Zadeh proposed fuzzy set theory as a mathematical framework to represent the vagueness or imprecision of human cognitive processes. The underlying principle behind the fuzzy set theory is that each element in a fuzzy set has a degree of membership. A membership function that transfers items to degrees of membership within a certain interval, commonly, defines a fuzzy set. | |
Разместил: Ingvar16 1-02-2023, 20:37 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples)
Автор: Murat Durmus
Издательство: Leanpub
Год: 2023-01-28
Страниц: 192
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.2 MB
This book introduces you to the 42 most commonly used machine learning algorithms in an understandable way. Machine Learning (ML) refers to the development of AI systems that can perform tasks due to a “learning process” based on data. This is in contrast to approaches and methods in symbolic AI and traditional software development, which are based on embedding explicit rules and logical statements in the code. ML is at the heart of recent advances in statistical AI and the methodology behind technological achievements such as computer programs that outperform humans in tasks ranging from medical diagnosis to complex games. The recent surge of interest in AI is largely due to the achievements made possible by ML. As the term “statistical AI” suggests, ML draws on statistics and probability theory concepts. Many forms of ML go beyond traditional statistical methods, which is why we often think of ML as an exciting new field. | |
Разместил: Ingvar16 1-02-2023, 20:11 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Modern Enterprise Architecture: Using DevSecOps and Cloud-Native in Large Enterprises
Автор: Jeroen Mulder
Издательство: Apress
Год: 2023
Страниц: 204
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB
Enterprise Architecture (EA) frameworks such as TOGAF and Zachman are still valid, but enterprise architects also need to adapt to the new reality of agile, DevOps, and overall disruption through digital transformation. This book will help do just that. The Change to Modern Enterprise Architecture will teach you how to use known frameworks in the new world of digital transformation. Over the course of the book, you'll learn how modern EA is helping drive strategic business decisions, create continuous and agile (“floating”) architecture for scalability, and how to address quality and speed in architecture using and integrating DevSecOps frameworks in EA. | |
Разместил: Ingvar16 1-02-2023, 19:11 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Clean Code Cookbook: Recipes to Improve the Design and Quality of your Code (Early Release)
Автор: Maximiliano Contieri
Издательство: O’Reilly Media, Inc.
Год: 2023-01-31
Язык: английский
Формат: epub
Размер: 10.2 MB
Often, software engineers and architects work with large, complex code bases that they need to scale and maintain. With this cookbook, author Maximiliano Contieri takes you beyond the concept of clean code by showing you how to identify improvement opportunities and their impact on production code. When it comes to reliability and system evolution, these techniques provide benefits that pay off over time. Using real life examples in jаvascript, PHP, Java, Python, and many other programming languages, this cookbook provides proven recipes to help you scale and maintain large systems. Every section covers fundamental concepts including readability, coupling, testability, and extensibility, as well as code smells—symptoms of a problem that requires special attention—and the recipes to address them. Automatic refactorings are safe and make structural changes without changing the behavior. This book has many recipes with automatic and safe refactorings and also semantic refactors. | |
Разместил: Ingvar16 1-02-2023, 18:50 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: PHP Cookbook: Modern Code Solutions for Professional PHP Developers (6th Early Release)
Автор: Eric A. Mann
Издательство: O’Reilly Media, Inc.
Год: 2023-01-12
Страниц: 448
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB
If you're a PHP developer looking for proven solutions to common problems, this cookbook provides code recipes to help you resolve numerous scenarios. By leveraging modern versions of PHP through version 8.1, these self-contained recipes provide fully realized solutions that can help you solve similar problems in your day-to-day work. Whether you're new to development or merely new to PHP, these recipes will help you unpack the most powerful features of this programming language. Author Eric Mann, a regular contributor to php[architec magazine, frequently makes presentations on software architecture and has built scalable projects for startups and Fortune 500 companies alike. PHP is well known as a loosely-typed language. This sets the language apart as developers are not required to identify the type of a specific variable when it’s created or even when it’s called. The interpreter behind PHP will identify the right type when the variable is used and, in many cases, transparently cast the variable as a different type at runtime. | |
Разместил: Ingvar16 1-02-2023, 18:38 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Machine Learning under Malware Attack
Автор: Raphael Labaca Castro
Издательство: Springer
Год: 2023
Страниц: 134
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.2 MB
Machine Learning has become key in supporting decision-making processes across a wide array of applications, ranging from autonomous vehicles to malware detection. However, while highly accurate, these algorithms have been shown to exhibit vulnerabilities, in which they could be deceived to return preferred predictions. Therefore, carefully crafted adversarial objects may impact the trust of machine learning systems compromising the reliability of their predictions, irrespective of the field in which they are deployed. The goal of this book is to improve the understanding of adversarial attacks, particularly in the malware context, and leverage the knowledge to explore defenses against adaptive adversaries. Furthermore, to study systemic weaknesses that can improve the resilience of Machine Learning models. In addition to Reinforcement Learning (RL) strategies, Genetic Programming (GP) has been implemented to generate adversarial examples across multiple domains. Choi et al. presented an adaptive approach using Genetic Programming (GP) that relies on opensource input files. They evaluated two scenarios using malware based on Python and C. In this scenario, the attack module processes the source code of the object parsing variables and functions. | |
Разместил: Ingvar16 1-02-2023, 11:16 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch (Fifth Release)
Автор: Adi Polak
Издательство: O’Reilly Media, Inc.
Год: 2023-01-30
Страниц: 300
Язык: английский
Формат: pdf, epub
Размер: 15.0 MB
Get up to speed on Apache Spark, the popular engine for large-scale data processing, including Machine Learning (ML) and analytics. If you're looking to expand your skill set or advance your career in scalable Machine Learning with MLlib, distributed PyTorch, and distributed TensorFlow, this practical guide is for you. Using Spark as your main data processing platform, you'll discover several open source technologies designed and built for enriching Spark's ML capabilities. Scaling Machine Learning with Spark examines various technologies for building end-to-end distributed ML workflows based on the Apache Spark ecosystem with Spark MLlib, MLFlow, TensorFlow, PyTorch, and Petastorm. This book shows you when to use each technology and why. PyTorch and TensorFlow are among the most popular frameworks for Machine Learning. Combining these tools, which are already in use in many organizations today, allows you to take full advantage of their strengths. | |
Разместил: Ingvar16 1-02-2023, 10:50 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Hypermodern Python Tooling: Building Reliable Workflows for an Evolving Python Ecosystem (Second Early Release)
Автор: Claudio Jolowicz
Издательство: O’Reilly Media, Inc.
Год: 2023-01-31
Страниц: 108
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB
Keeping up with the Python ecosystem can be daunting. Its developer tooling doesn't provide the same out-of-the-box experience native to languages like Rust and Go. When it comes to long-term project maintenance or collaborating with others, every Python project faces the same problem: how to build reliable workflows beyond local development while staying in sync with the evolving ecosystem. With this hands-on guide, Python developers will learn how to forge the moving parts of a Python project into an easy-to-use toolchain, using state-of-the-art tools including Poetry, GitHub Actions, Dependabot, pytest, mypy, Flake8, and more. Author Claudio Jolowicz shows you how to create robust Python project structures, complete with unit tests, static analysis, code formatting, type checking, and documentation, as well as continuous integration and delivery. | |
Разместил: Ingvar16 1-02-2023, 10:34 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
|
|
|
|
|
| |
|
 Название: Mockito Made Clear: Java Unit Testing with Mocks, Stubs, and Spies
Автор: Ken Kousen
Издательство: Pragmatic Bookshelf
Год: January 2023 (Version: P1.0)
Страниц: 131
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB
Mockito is the most popular framework in the Java world for automating unit testing with dependencies. Learn the Mockito API and how and when to use stubs, mocks, and spies. On a deeper level, discover why the framework does what it does and how it can simplify unit testing in Java. Using Mockito, you'll be able to isolate the code you want to test from the behavior or state of external dependencies without coding details of the dependency. You'll gain insights into the Mockito API, save time when unit testing, and have confidence in your Java programs. If you've only ever run a few JUnit tests or injected stubs into classes to return preset values, it's time to level up your Java toolbox. Dependencies on other classes and external resources can obscure issues and make bugs hard to detect. You need to test classes in isolation to truly pinpoint your problems. And while you could write dummy classes to replace dependencies yourself, Mockito automates the process and helps you fix your code faster. | |
Разместил: Ingvar16 1-02-2023, 09:10 | Комментарии: 0 | Подробнее
| | | |
|
| |
|
Навигация
Вход на сайт
Реклама
