Название: Программирование на Python для начинающих
Автор(ы): Майк МакГрат
Издательство: Эксмо
Год: 2022
Страниц: 194
Формат: PDF
Размер: 14 Мб
Язык: русский

Книга «Программирование на Python для начинающих» является исчерпывающим руководством для того, чтобы научиться программировать на языке Python.
В этой книге с помощью примеров программ и иллюстраций, показывающих результаты работы кода, разбираются все ключевые аспекты языка. Установив свободно распространяемый интерпретатор Python, вы с первого же дня сможете создавать свои собственные исполняемые программы!

Название: Computational Approaches To Conscious Artificial Intelligence
Автор: Antonio Chella
Издательство: World Scientific Publishing
Год: 2023
Страниц: 310
Язык: английский
Формат: pdf (true)
Размер: 12.5 MB

Artificial Intelligence (AI) has seen rapid advancements in recent years, particularly in the areas of deep learning and the ability to generalize from concrete objects to abstract concepts. Meanwhile, in the study of machine consciousness, a universally agreed definition among scientists and philosophers is still lacking. The fields of Artificial Intelligence (AI) and Artificial Consciousness (AC) have largely developed separately, with different goals and criteria for success and with only a minimal exchange of ideas. In this chapter, we consider the question of how concepts developed in AC research might contribute to more effective future AI systems. We then present ideas about how integrating concepts from AC into AI systems to develop an artificial conscious intelligence (ACI) could both produce more effective AI technology and contribute to a deeper scientific understanding of the fundamental nature of consciousness and intelligence. The volume is designed as a reference guide for researchers, practitioners, and students interested in the intersection of AI and consciousness.

Название: Coding Tricks and Tips - 15th Edition, 2023
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2023
Язык: английский
Формат: pdf
Размер: 37.2 MB

Coding Tricks and Tips is the perfect digital publication for the user that wants to take their skill set to the next level. Do you want to enhance your user experience? Or wish to gain insider knowledge? Do you want to learn directly from experts in their field? Learn the numerous short cuts that the professionals use? Over the pages of the new advanced user guide you will learn everything you will need to know to become a more confident, better skilled and experienced owner. A user that will make the absolute most of their use and ultimately their coding skills themselves. An achievement you can earn by simply enabling us to exclusively help and teach you the abilities we have gained over our decades of experience.

Название: Bayesian Optimization: Theory and Practice Using Python
Автор: Peng Liu
Издательство: Apress
Год: 2023
Страниц: 243
Язык: английский
Формат: pdf (true), epub (true)
Размер: 14.2 MB

This book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner. The techniques covered in this book will enable you to better tune the hyperparemeters of your machine learning models and learn sample-efficient approaches to global optimization. The book begins by introducing different Bayesian Optimization (BO) techniques, covering both commonly used tools and advanced topics. It follows a “develop from scratch” method using Python, and gradually builds up to more advanced libraries such as BoTorch, an open-source project introduced by Facebook recently. Along the way, you’ll see practical implementations of this important discipline along with thorough coverage and straightforward explanations of essential theories. This book intends to bridge the gap between researchers and practitioners, providing both with a comprehensive, easy-to-digest, and useful reference guide. After completing this book, you will have a firm grasp of Bayesian optimization techniques, which you’ll be able to put into practice in your own Machine Learning models.

Название: Введение в программирование (2-е изд.)
Автор: Баженова И.Ю., Сухомлин В.А.
Издательство: М.: НОУ "Интуит"
Год: 2016
Страниц: 411
ISBN: 5-94774-599-2
Формат: PDF
Размер: 51 Мб
Язык: русский

В курсе рассматриваются общие концепции разработки языков программирования. Подробно изучаются основные конструкции языков программирования, анализируются различные структуры данных, освещаются вопросы объектно-ориентированного программирования и сетевого программирования, дается краткий обзор компонентной технологии программирования. Особое внимание уделяется рассмотрению семантики языков программирования C++, C#, Java и Object Pascal.

Название: Intelligent Prognostics for Engineering Systems with Machine Learning Techniques
Автор: Gunjan Soni, Om Prakash Yadav, Gaurav Kumar Badhotiya, Mangey Ram
Издательство: CRC Press
Год: 2024
Страниц: 261
Язык: английский
Формат: pdf (true)
Размер: 66.2 MB

The text discusses the latest data-driven, physics-based, and hybrid approaches employed in each stage of industrial prognostics and reliability estimation. It will be a useful text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, electrical engineering, and Computer Science. The book The text deals with tools and techniques used to predict/ extrapolate/ forecast the process behavior, based on current health state assessment and future operating conditions with the help of Machine Learning (ML). It will serve as a useful reference text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, manufacturing science, electrical engineering, and Computer Science. Deep Learning (DL) is a subset of ML that involves a multi-layered artificial neural network (ANN). The working of ANN is inspired by how the nervous system of the human brain functions. A basic ANN consists of input, output, and hidden layers. Each layer consists of neurons, which resemble brain cells. A mathematical representation of the biological neuron is termed as “perceptron,” and thus, multi-layered neural network is also referred to as multi-layer perceptron (MLP) model.

Название: The Next.js Handbook: A Complete Resource for Developers
Автор: Brandon Kim
Издательство: Ares Lnc
Год: 2023
Страниц: 166
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Погрузитесь в мир Next.js и откройте для себя его многочисленные аспекты, включая рендеринг на стороне сервера, генерацию статических сайтов, маршруты API и динамический импорт. С помощью этого всеобъемлющего ресурса вы научитесь использовать весь потенциал Next.js, что позволит вам создавать молниеносные, высокомасштабируемые и SEO-дружественные веб-приложения, которые выделяются на современном конкурентном цифровом ландшафте.
This book, "The Next.js Handbook" is your comprehensive resource for diving deep into the world of Next.js. It will provide you with the knowledge and confidence to build high-performing web applications that not only delight your users but also empower you as a developer. Whether you are a novice who has never heard of Next.js or a seasoned developer looking to sharpen your skills, this book is designed to accommodate your journey and help you master the art of Next.js. Next.js, an open-source framework built on top of React, is the brainchild of the team at Vercel.

Название: Mastering Python. A comprehensive Journey from Beginner to Professional
Автор: Yusuf Buba
Издательство: BookRix
Год: 2023
Страниц: 214
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Beginners can develop a solid foundation in Python programming, while professionals can enhance their existing skills and expand their knowledge into advanced areas. Python's versatility, along with its vast collection of libraries and frameworks, empowers learners to tackle various real-world challenges and opens up exciting career opportunities in fields such as software development, Data Science, Machine Learning, web development, and more. Python has captured the hearts of developers worldwide with its simplicity, elegance, and versatility. Its vast ecosystem of libraries and frameworks makes it an indispensable tool for a wide range of applications, from web development and data analysis to machine learning and artificial intelligence. With its readable syntax and emphasis on code readability, Python serves as an ideal language for both beginners and seasoned professionals. The purpose of this book is to guide you through the intricate maze of Python programming, equipping you with the knowledge and skills needed to become a proficient Python developer.

Название: Probabilistic Machine Learning: Advanced Topics
Автор: Kevin P. Murphy
Издательство: The MIT Press
Год: 2023
Страниц: 1354
Язык: английский
Формат: pdf (true)
Размер: 38.9 MB

An advanced book for researchers and graduate students working in Machine Learning and statistics who want to learn about Deep Learning, Bayesian inference, generative models, and decision making under uncertainty. An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in Machine Learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement learning, and causality. This volume puts Deep Learning into a larger statistical context and unifies approaches based on Deep Learning with ones based on probabilistic modeling and inference. We assume the reader has some prior exposure to ML and other relevant mathematical topics (e.g., probability, statistics, linear algebra, optimization). Python code (mostly in JAX) to reproduce nearly all of the figures can be found online. Clicking on the notebook link will open it inside Google Colab, which will let you easily reproduce the figure for yourself, and modify the underlying source code to gain a deeper understanding of the methods. (Colab gives you access to a free GPU, which is useful for some of the more computationally heavy demos.) In addition to the online code, probml.github.io/supp contains some additional supplementary online content which was excluded from the main book for space reasons.

Название: Computer Arithmetic in Practice: Exercises and Programming
Автор: Slawomir Grys
Издательство: CRC Press
Год: 2024
Страниц: 213
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Computer Arithmetic in Practice: Exercises and Programming is a simple, brief introductory volume for undergraduate and graduate students at university courses interested in understanding the foundation of computers. It is focused on numeric data formats and capabilities of computers to perform basic arithmetic operations. This book provides an accessible overview of common data formats used to write numbers in programming languages and how the computer performs four basic arithmetic operations from the point of view of the processor instruction set. The book is primarily didactic in nature, therefore the theoretical information is enriched with many numerical examples and exercises to be solved using a ‘sheet of paper and a pencil’. Answers are provided for most of the tasks. The theoretical discussed issues are illustrated by listings of algorithms presenting the way to implement arithmetic operations in low-level language. It allows development of the skills of optimal programming, taking into consideration the computer architecture and limitations. The assembly language is a low-level programming language but assembler is a software responsible just for translating source code directly to the machine code or sometimes indirectly to the object code aimed to reuse in another program.