Название: Visualizing Quantum Mechanics with Python
Автор: Stephen Spicklemire
Издательство: CRC Press
Год: 2024
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Quantum Mechanics can be an abstract and complex subject. Students often complain of confusion, struggle, and frustration as they try to master the topic. The goal of this book is to reduce the complexity and clarify the abstractions with concrete visual examples driven by simple Python programs. It is assumed that the reader is concurrently taking a course in quantum mechanics, or self-studying quantum mechanics, but is looking for supplementary material to help with understanding and visualizing how quantum mechanics works. The focus of this book is writing Python programs to visualize the underlying behavior of the mathematical theory. The background needed to understand quantum mechanics is differential equations, linear algebra and modern physics. We need a strong foundation in differential equations and linear algebra because the behavior of quantum systems is governed by equations that are written in terms of these concepts. Modern physics includes concepts such as special relativity and quantum phenomena like the photoelectric effect and energy quantization that the theory of quantum mechanics seeks to explain. This book is also not an introduction to the Python programming language, or to NumPy, or even to VPython. However its programming examples start simply and grow more complex as the chapters progress, so deep expertise in any of these is not a pre-requisite.

Название: Mastering Large Language Models: Advanced techniques, applications, cutting-edge methods, and top LLMs
Автор: Sanket Subhash Khandare
Издательство: BPB Publications
Год: 2024
Страниц: 903
Язык: английский
Формат: pdf, epub
Размер: 13.2 MB

Do not just talk AI, build it: Your guide to LLM application development. Transform your business landscape with the formidable prowess of large language models (LLMs). The book provides you with practical insights, guiding you through conceiving, designing, and implementing impactful LLM-driven applications. This book explores NLP fundamentals like applications, evolution, components and language models. It teaches data pre-processing, neural networks, and specific architectures like RNNs, CNNs, and transformers. It tackles training challenges, advanced techniques such as GANs, meta-learning, and introduces top LLM models like GPT-3 and BERT. It also covers prompt engineering. Finally, it showcases LLM applications and emphasizes responsible development and deployment. With this book as your compass, you will navigate the ever-evolving landscape of LLM technology, staying ahead of the curve with the latest advancements and industry best practices. This book is tailored for those aiming to master large language models, including seasoned researchers, data scientists, developers, and practitioners in natural language processing (NLP).

Название: C# Concurrency: Asynchronous and multithreaded programming (MEAP v10)
Автор: Nir Dobovizki
Издательство: Manning Publications
Год: 2024
Страниц: 265
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Supercharge your applications with the ultimate guide to asynchronous and multithreaded programming in C#! C# Concurrency: Asynchronous and Multithreaded Programming teaches you to harness the power of multithreading and async/await to get maximum speed from your code. Nir Dobovizki, a seasoned C# veteran with over 30 years of high-performance programming experience, is here to share his deep knowledge and expert techniques with you. Say goodbye to frustrating pitfalls and impossible-to-find bugs that slow down your applications. Nir's careful approach will teach you how to navigate these challenges with ease, allowing you to achieve lightning-fast performance like never before! Concurrency is a developers’ secret weapon for maximizing an application's performance. Using asynchronous and multithreaded programming techniques, you can seamlessly execute multiple tasks simultaneously, without sacrificing speed or quality.

Название: Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data Acquisition, Visualization, and Statistical Analysis
Автор: Abhinaba Banerjee
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 507
Язык: английский
Формат: pdf, epub
Размер: 14.9 MB

Test your Data Analysis skills to its fullest using Python and other no-code toolsBook DescriptionUltimate Data Analysis and Visualization with Python is your comprehensive guide to mastering the intricacies of data analysis and visualization using Python. This book serves as your roadmap to unlocking the full potential of Python for extracting insights from data using Pandas, NumPy, Matplotlib, Seaborn, and Julius AI. Starting with the fundamentals of data acquisition, you'll learn essential techniques for gathering and preparing data for analysis. From there, you’ll dive into exploratory data analysis, uncovering patterns and relationships hidden within your datasets.Through step-by-step tutorials, you'll gain proficiency in statistical analysis, time series forecasting, and signal processing, equipping you with the tools to extract actionable insights from any dataset. What sets this book apart is its emphasis on real-world applications. With a series of hands-on projects, you’ll apply your newfound skills to analyze diverse datasets spanning industries such as finance, healthcare, e-commerce, and more.By the end of the book, you'll have the confidence and expertise to tackle any data analysis challenge with Python. To aid your journey, the book includes a handy Python cheat sheet in the appendix, serving as a quick reference guide for common functions and syntax.

Название: GPT-4. Руководство по использованию API Open AI
Автор: Аймен Эль Амри
Издательство: ДМК Пресс
Год: 2024
Страниц: 276
Язык: русский
Формат: pdf
Размер: 13.4 MB

В книге рассказывается о том, как использовать генеративные текстовые модели поколений GPT-3.5 и GPT-4 для создания приложений различного назначения, в числе которых интерактивный психотерапевт, интеллектуальный голосовой помощник, система рекомендации товаров, генератор заметок в соцсетях, система распознавания речи и многие другие. Вы научитесь использовать векторные базы данных, узнаете, как управлять уровнем креативности моделей GPT, применять современные методы генерирования высококачественного текста, и даже организуете диалог между двумя чат-ботами. Примеры и практические упражнения помогут закрепить пройденный материал. Издание предназначено для тех, кто владеет основами языка программирования Python и собирается использовать GPT в реальных сценариях для решения прикладных задач. Если вы владеете основами языка программирования Python и готовы изучить еще несколько инструментов, таких как объекты Dataframe библиотеки Pandas и некоторые методы NLP, значит, у вас есть под рукой все необходимое для создания интеллектуальных систем с использованием инструментов OpenAI. Не беспокойтесь, вам не нужно быть специалистом по данным, инженером по машинному обучению или экспертом по искусственному интеллекту, чтобы понять концепции, методы и учебные примеры, представленные в этой книге. Все объяснения предельно просты для понимания, в них используется базовый код Python, примеры и практические упражнения. Эта книга сфокусирована на практической части обучения и призвана помочь читателю создавать реальные приложения.

Название: GPT-3. Руководство по использованию API Open AI
Автор: Сандра Кублик, Шубхам Сабу
Издательство: ДМК Пресс
Год: 2023
Страниц: 174
Язык: русский
Формат: pdf
Размер: 10.3 MB

В книге исследуется мощная языковая модель GPT-3, упрощающая создание приложений с искусственным интеллектом. Первая часть посвящена основам API OpenAI, во второй описывается динамичная и процветающая среда, возникшая вокруг GPT-3. Представлены рекомендации по использованию GPT-3 для создания новых бизнес-продуктов. Обсуждается влияние GPT-3 на развитие мировой экономики и такие передовые тенденции, как программирование без кода и достижение общего искусственного интеллекта. Книга рассчитана на читателей, интересующихся современными технологиями. Она будет особенно полезна предпринимателям, деятельность которых связана с индустрией искусственного интеллекта, а также тем, кто планирует использовать языковые способности GPT-3 для реализации творческих проектов. Первая часть книги посвящена основам API OpenAI. Во второй части книги мы исследуем пеструю экосистему, органично и стремительно возникшую вокруг GPT-3. В главе 1 изложен контекст и основные определения, необходимые для комфортного изучения дальнейших тем. В главе 2 мы глубоко погружаемся в API, разбивая его на наиболее важные элементы, такие как базовые модели и конечные точки, описывая их назначение и способы использования для читателей, которые хотят взаимодействовать с ними на более глубоком уровне. Глава 3 содержит простой и интересный рецепт для вашего первого приложения на базе GPT-3.

Название: Learn Go with Pocket-Sized Projects (MEAP v7)
Автор: Alienor Latour, Donia Chaiehloudj, Pascal Bertrand
Издательство: Manning Publications
Год: 2024
Страниц: 487
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

These small Go projects will build big Go skills! Learn hands-on as you build 11 engaging applications. Learn Go with Pocket-Sized Projects teaches you to write professional-level Go code by creating handy tools and fun apps. Each small, self-contained project introduces important practical skills, including ensuring that your code is thoroughly tested and documented! You’ll make architectural decisions for your projects and organize your code in a maintainable way. Everything you learn is easy to scale-up to full-size Go applications. Go delivers the low-level power of system languages like C and Rust with developer-friendly features like garbage collection and a powerful standard library. Millions of programmers choose Go because it speeds up program construction, streamlines dependency management, and makes complex code simple to write, read, and maintain. This book is for developers who want to learn the language in a fun and interactive way, and be comfortable enough to use it professionally. Each chapter is an independent pocket-sized project. The book covers the specificities of the language, such as implicit interfaces and how they help in test design. Testing the code is included throughout the book. We want to help the reader become a good modern software developer while using the Go language. This book also contains tutorials for command-line interfaces, and for both REST and gRPC microservices, showing how the language is great for cloud computing. It finishes with a project that uses TinyGo, the compiler for embedded systems.

Название: React in Depth (MEAP v5)
Автор: Morten Barklund
Издательство: Manning Publications
Год: 2024
Страниц: 518
Язык: английский
Формат: pdf, epub
Размер: 40.3 MB

Put React to work with this must-have professional collection of advanced React libraries, techniques, and tools. React in Depth is a guide to the advanced React skills used by professional React developers. It focuses on the modern best practices of React development, with full and up-to-date coverage of the latest features and changes to the React ecosystem. This book highlights the techniques companies love to ask about at an interview, and how you can future-proof your career by mastering new React technologies as they emerge. You’ll learn the tools and techniques that are vital to build pro-level apps—and put them into practice with hands-on projects like a goal-focused task manager, expenses tracker, and custom UI library. The React framework boasts a huge ecosystem of libraries and tools that can help you deliver incredible results efficiently. This guide explores exactly what React pros need to know to get the most out of React, from optimizing performance to even creating full-stack web applications. You’ll learn how to put NextJS, Remix, TypeScript, and more in your React toolbox. For web developers familiar with the basics of React.

Название: Deep Learning with PyTorch, Second Edition (MEAP v3)
Автор: Luca Antiga, Eli Stevens, Howard Huang
Издательство: Manning Publications
Год: 2024
Страниц: 273
Язык: английский
Формат: pdf, epub
Размер: 13.7 MB

Everything you need to create neural networks with PyTorch, including Large Language and diffusion models. Deep Learning with PyTorch, Second Edition updates the bestselling original guide with new insights into the transformers architecture and generative AI models. Instantly familiar to anyone who knows PyData tools like NumPy and Scikit-learn, PyTorch simplifies Deep Learning without sacrificing advanced features. In Deep Learning with PyTorch, Second Edition you’ll learn how to create your own neural network and Deep Learning systems and take full advantage of PyTorch’s built-in tools for automatic differentiation, hardware acceleration, distributed training, and more. PyTorch makes it easy to build the powerful neural networks that underpin many modern advances in Artificial Intelligence. This second edition has been thoroughly revised by PyTorch core developer Howard Huang to cover the latest features and applications, including generative AI models. The book is written for developers, students, or even hobbyists who have some prior experience with the Python programming language and want to gain a better understanding of Deep Learning.

Название: Innovative Machine Learning Applications for Cryptography
Автор: J. Anitha Ruth, G.V. Vijayalakshmi, P. Visalakshi
Издательство: IGI Global
Год: 2024
Страниц: 313
Язык: английский
Формат: pdf (true), epub
Размер: 30.9 MB

Data security is paramount in our modern world, and the symbiotic relationship between Machine Learning and cryptography has recently taken center stage. The vulnerability of traditional cryptosystems to human error and evolving cyber threats is a pressing concern. The stakes are higher than ever, and the need for innovative solutions to safeguard sensitive information is undeniable. Innovative Machine Learning Applications for Cryptography emerges as a steadfast resource in this landscape of uncertainty. Machine Learning's prowess in scrutinizing data trends, identifying vulnerabilities, and constructing adaptive analytical models offers a compelling solution. The book explores how Machine Learning can automate the process of constructing analytical models, providing a continuous learning mechanism to protect against an ever-increasing influx of data. This book goes beyond theoretical exploration, and provides a comprehensive resource designed to empower academic scholars, specialists, and students in the fields of cryptography, Machine Learning, and network security. Its broad scope encompasses encryption, algorithms, security, and more unconventional topics like Quantum Cryptography, Biological Cryptography, and Neural Cryptography. By examining data patterns and identifying vulnerabilities, it equips its readers with actionable insights and strategies that can protect organizations from the dire consequences of security breaches.