Название: Foundations of Quantum Programming, 2nd Edition
Автор: Mingsheng Ying
Издательство: Morgan Kaufmann/Elsevier
Год: 2024
Страниц: 400
Язык: английский
Формат: epub
Размер: 22.5 MB

Quantum computers promise dramatic advantages in processing speed over currently available computer systems. Quantum computing offers great promise in a wide variety of computing and scientific research, including Quantum cryptography, Machine Learning, computational biology, renewable energy, computer-aided drug design, generative chemistry, and any scientific or enterprise application that requires computation speed or reach beyond the limits of current conventional computer systems. Foundations of Quantum Programming, Second Edition discusses how programming methodologies and technologies developed for current computers can be extended for quantum computers, along with new programming methodologies and technologies that can effectively exploit the unique power of quantum computing. The Second Edition includes two new chapters describing programming models and methodologies for parallel and distributed quantum computers. The author has also included two new chapters to introduce Quantum Machine Learning and its programming models – parameterized and differential quantum programming. In addition, the First Edition's preliminaries chapter has been split into three chapters, with two sections for quantum Turing machines and random access stored program machines added to give the reader a more complete picture of quantum computational models. Finally, several other new techniques are introduced in the Second Edition, including invariants of quantum programs and their generation algorithms, and abstract interpretation of quantum programs.

Название: Building Multi-Tenant SaaS Architectures: Principles, Practices, and Patterns Using AWS
Автор: Tod Golding
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 487
Язык: английский
Формат: pdf (true)
Размер: 14.4 MB

Software as a service (SaaS) is on the path to becoming the de facto model for building, delivering, and operating software solutions. Adopting a multi-tenant SaaS model requires builders to take on a broad range of new architecture, implementation, and operational challenges. How data is partitioned, how resources are isolated, how tenants are authenticated, how microservices are built—these are just a few of the many areas that need to be on your radar when you're designing and creating SaaS offerings. In this book, Tod Golding, a global SaaS technical lead at AWS, provides an end-to-end view of the SaaS architectural landscape, outlining the practical techniques, strategies, and patterns that every architect must navigate as part of building a SaaS environment. This book is targeted at builder, architect, and operations teams who are creating, migrating, or optimizing SaaS solutions. You might be brand new to SaaS and looking for the foundational concepts that can get you started with SaaS, or you might already be immersed in SaaS and are looking at how you might want to apply the principles outlined here to enhance an existing solution. You’ll notice that I’ve also included operations in this list. While significant parts of this book will be more focused on the builders and architects, there is a clear need for operations teams to be equally immersed in shaping the trade-offs and strategies that will be used to define the footprint of your as-a-service experience. There’s also a corresponding need for builders and architects to be more immersed in the operations experience.

Название: Анализ данных и процессов
Автор: Барсегян А.А., Куприянов М.С., Холод И.И., Тесс М.Д., Елизаров С.И.
Издательство: СПб.: БХВ-Петербург
Год: 2009 - 3-е изд., перераб. и допол.
Cтраниц: 512
Формат: pdf
Размер: 16 мб
Язык: русский

Излагаются основные направления в области разработки корпоративных систем: организация хранилищ данных, оперативный (OLAP) и интеллектуальный (Data Mining) анализ данных. В третьем издании по сравнению со вторым, выходившем под названием "Технологии анализа данных: Data Mining, Text Mining, Visual Mining, OLAP", добавлены визуальный (Visual Mining) и текстовый (Text Mining) анализ данных, анализ процессов (Process Mining), анализ Web-ресурсов (Web mining) и анализ в режиме реального времени (Real-Time Data Mining).

Название: Machine Learning for Physics and Astronomy
Автор: Viviana Acquaviva
Издательство: Princeton University Press
Год: 2023
Страниц: 281
Язык: английский
Формат: pdf (true)
Размер: 61.0 MB

A hands-on introduction to Machine Learning and its applications to the physical sciences. As the size and complexity of data continue to grow exponentially across the physical sciences, Machine Learning is helping scientists to sift through and analyze this information while driving breathtaking advances in quantum physics, astronomy, cosmology, and beyond. This incisive textbook covers the basics of building, diagnosing, optimizing, and deploying Machine Learning methods to solve research problems in physics and astronomy, with an emphasis on critical thinking and the scientific method. Using a hands-on approach to learning, Machine Learning for Physics and Astronomy draws on real-world, publicly available data as well as examples taken directly from the frontiers of research, from identifying galaxy morphology from images to identifying the signature of standard model particles in simulations at the Large Hadron Collider. What Is Machine Learning? To the best of my knowledge/ability to explain, I would say that it’s the process of teaching a machine to make informed, data-driven decisions. Examples of such decisions include recognizing and characterizing objects based on similarities or differences, detecting patterns, and distinguishing signal from noise. Each chapter is accompanied by Jupyter Notebook worksheets in Python that enable students to explore key concepts.

Название: Coding Examples from Simple to Complex: Applications in jаvascript
Автор: Paul A. Gagniuc
Издательство: Springer
Серия: Synthesis Lectures on Computer Science
Год: 2024
Страниц: 243
Язык: английский
Формат: pdf (true), epub
Размер: 94.4 MB

This book provides a comprehensive guide to jаvascript, which stands as the cornerstone of modern programming and is the main computer language driving the Internet. The author introduces readers to the rich world of jаvascript, taking them on a journey from the fundamentals to advanced topics, equipping them with the knowledge and skills needed to become a proficient science and engineering oriented jаvascript developer. The book provides a treasure trove of practical examples, meticulously crafted to deepen the reader understanding of jаvascript. This comprehensive exploration is designed to cater to novice learners as well as mature developers and scientists, equipping them with the requisite knowledge and competencies to harness the jаvascript full potential in their respective projects. This book is part of a series of works designed to present both the examples and their explanations in various computer languages, as close to a mirror version as possible. The chosen language is jаvascript, most probably the most popular programming language nowadays. Readers of this book can quickly use the gained knowledge in real-world projects, as “Any application that can be written in jаvascript, will eventually be written in jаvascript.” (Atwood’s Law). Another advantage is that examples can be run on any computer or any computing device with a browser, without any necessary setting up. Indeed, programming is just a click away. In web development, jаvascript stands as the cornerstone of modern programming and is the main computer language driving the Internet. Explore the rich world of jаvascript with this work, a comprehensive guide that takes the reader on a journey from the fundamentals to advanced topics, equipping the reader with the knowledge and skills needed to become a proficient jаvascript developer or scientist.

Название: Coding Examples from Simple to Complex: Applications in Python
Автор: Paul A. Gagniuc
Издательство: Springer
Серия: Synthesis Lectures on Computer Science
Год: 2024
Страниц: 240
Язык: английский
Формат: pdf (true), epub
Размер: 83.9 MB

This book provides a comprehensive guide to Python, which stands as the cornerstone of modern programming and is the main computer language driving software prototyping in both industry and research. The author introduces readers to the rich world of Python, taking them on a journey from the fundamentals to advanced topics, equipping them with the knowledge and skills needed to become a proficient Python developer or scientist. The book provides a treasure trove of practical examples, meticulously crafted to deepen the reader understanding of Python. This comprehensive exploration is designed to cater to novice learners as well as mature developers and scientists, equipping them with the requisite knowledge and competencies to harness the Python full potential in their respective projects. From the basics of variable naming and program structure to complex matrix operations, recursion, and object-oriented programming, this book covers it all. This book is part of a series of works designed to present both the examples and their explanations in various computer languages, as close to a mirror version as possible. The chosen language is Python, most probably one of the most popular programming languages nowadays. While most learning institutions introduce programming languages using the Python language, readers will benefit the wealth of the examples in this book, as well as from being exposed to more advanced programming techniques. The book continues with the moderate examples section, in which more real-world usages are shown, ranging from topics such as string manipulation, more advanced matrix operations, sorting algorithms, bitwise operations and encodings, and statistics. As examples are implemented without the use of other libraries except the standard library, they are of great teaching value, in helping practitioners truly understand the inner workings of concepts.

Название: The AI Revolution in Customer Service and Support (Early Release)
Автор: Ross Smith, Emily McKeon, Mayte Gonzalez
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2024
Страниц: 409
Язык: английский
Формат: pdf, epub
Размер: 10.3 MB

Generative AI has made amazing advances in the last year, and customer service and support is one of the most important areas where this new technology can have an immediate impact. While the technology is not yet in a place where it will fully replace agents and support engineers, it can do wonders to dramatically improve customer experience while also contribute to the optimization of productivity in various ways. This book help readers understand how and where to incorporate AI technology into the flow of the customer experience. In the 2020s and beyond, AI is entering a new frontier of generative technologies, which aim to create novel and realistic content, such as images, texts, sounds, and videos. Generative technologies use deep learning models, such as generative adversarial networks (GANs), variational autoencoders (VAEs), and large language models (LLMs), to generate content that is indistinguishable from human-produced content. Generative technologies have various applications, such as art, entertainment, education, and communication. One of the most exciting and challenging areas of generative technologies is natural language generation (NLG), which generates natural language text from a given input, such as an image, a keyword, or a prompt. Some of the most notable and influential LLMs include GPTs, BERT, XLNet, T5, and DALL-E, which have been developed and released by leading research labs and companies, such as OpenAI, Google, Facebook, and Microsoft. LLMs have also enabled and inspired the creation and innovation of various applications and products, such as chatbots, assistants, recommender systems, content generators, summarizers, translators, analyzers, or synthesizers, which have been deployed and adopted by various industries and sectors, such as education, health, business, media, entertainment, or art, among others.

Название: Алгоритмы обработки строк
Автор: Окулов С. М.
Издательство: Лаборатория знаний
Год: 2020 - 4-е изд.
Cтраниц: 258
Формат: pdf (ocr)
Размер: 39 мб
Язык: русский

На материале задачи поиска подстроки в строке, решению которой посвящены работы многих профессионалов за последние 20–30 лет, показано, как построить занятия по информатике, чтобы побудить школьника к творчеству, развить у него вкус к решению исследовательских проблем.

Название: Search Methods in Artificial Intelligence
Автор: Deepak Khemani
Издательство: Cambridge University Press
Год: 2024
Страниц: 488
Язык: английский
Формат: pdf
Размер: 11.3 MB

This book is designed to provide in-depth knowledge on how search plays a fundamental role in problem solving. Meant for undergraduate and graduate students pursuing courses in Computer Science and Artificial Intelligence, it covers a wide spectrum of search methods. Readers will be able to begin with simple approaches and gradually progress to more complex algorithms applied to a variety of problems. It demonstrates that search is all pervasive in Artificial Intelligence and equips the reader with the relevant skills. This book is meant for the serious practitioner-to-be of constructing intelligent machines. Machines that are aware of the world around them, that have goals to achieve, and the ability to imagine the future and make appropriate choices to achieve those goals. It is an introduction to a fundamental building block of Artificial Intelligence (AI). As the book shows, search is central to intelligence. A neuron is a simple device that computes a simple function of the inputs it receives. Collections of interconnected neurons can do complex computations. Insights into animal brains have prompted many researchers to pursue the path of creating artificial neural networks (ANNs). An ANN is a computational model that can be trained to perform certain tasks by repeatedly showing a stimulus and the expected response. Deep networks got further impetus with the availability of open source software like Tensorflow from Google that makes the task of implementing Machine Learning models easier for researchers. More recently, generative neural networks have been successfully deployed for language generation and even creating paintings, for example, from OpenAI. Generative models embody a form of unsupervised learning from large amounts of data, and are then trained to generate data like the one the algorithms were trained on.

Название: The French School of Programming
Автор: Bertrand Meyer
Издательство: Springer
Год: 2024
Страниц: 451
Язык: английский
Формат: pdf (true)
Размер: 11.9 MB

The French School of Programming is a collection of insightful discussions of programming and software engineering topics, by some of the most prestigious names of French Computer Science. The authors include several of the originators of such widely acclaimed inventions as abstract interpretation, the Caml, OCaml and Eiffel programming languages, the Coq proof assistant, agents and modern testing techniques. The book is divided into four parts, reflecting the diversity of interests in the French community and each of them corresponding to an area in which it has made major contributions over several decades: • Software engineering (Part I); • Programming language mechanism and type systems (Part II); • Theory (Part III); • Language design and programming methodology (Part IV). Object-oriented programming, software components and multi-agent systems are some examples of approaches for software design and development with significant impact. Both offer abstractions for organizing software as a combination of software elements, with a common objective of facilitating its evolution (first of all, replacement and addition of elements).