Название: Cryptocurrency Price Analysis, Prediction, And Forecasting Using Machine Learning With Python, Second Edition
Автор: Vivian Siahaan, Rismon Sianipar
Издательство: Balige Publishing
Год: July 2023
Страниц: 401
Язык: английский
Формат: epub (true)
Размер: 17.5 MB

In this project, we will be conducting a comprehensive analysis, prediction, and forecasting of cryptocurrency prices using machine learning with Python. The dataset we will be working with contains historical cryptocurrency price data, and our main objective is to build models that can accurately predict future price movements and daily returns. The first step of the project involves exploring the dataset to gain insights into the structure and contents of the data. We will examine the columns, data types, and any missing values present. After that, we will preprocess the data, handling any missing values and converting data types as needed. This will ensure that our data is clean and ready for analysis. Next, we will proceed with visualizing the dataset to understand the trends and patterns in cryptocurrency prices over time. We will create line plots, box plot, violin plot, and other visualizations to study price movements, trading volumes, and volatility across different cryptocurrencies. As part of our Machine Learning efforts, we will also develop models for predicting daily returns of cryptocurrencies. Daily returns are essential indicators for investors and traders, as they reflect the percentage change in price from one day to the next.

Название: Machine Learning System Design: With end-to-end examples (MEAP v4)
Автор: Arseny Kravchenko, Valerii Babushkin
Издательство: Manning Publications
Год: 2023
Страниц: 207
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable Machine Learning systems. Machine Learning System Design: With end-to-end examples is a practical guide for planning and designing successful ML applications. It lays out a clear, repeatable framework for building, maintaining, and improving systems at any scale. Authors Arseny Kravchenko and Valeri Babushkin have filled this unique handbook with campfire stories and personal tips from their own extensive careers. You’ll learn directly from their experience as you consider every facet of a machine learning system, from requirements gathering and data sourcing to deployment and management of the finished system. Machine Learning system design is complex. The successful ML engineer needs to navigate a multistep process that demands skills from many different fields and roles. This one-of-kind-guide starts by showing you the big picture and then guides you step by step through a framework for creating successful systems. You’ll learn to excel at delivering for global objectives, diving locally into tools, and combining your knowledge into an integrated vision. For readers who know the basics of both software engineering and machine learning. Examples in Python.

Название: Роберт Мартин рекомендует. Код, который умещается в голове: эвристики для разработчиков
Автор: Марк Симан
Издательство: Питер
Год: 2023
Страниц: 401
Язык: русский
Формат: pdf
Размер: 10.2 MB

Незаменимые практические советы по написанию кода в устойчивом темпе и по управлению сложностью, из-за которой проекты часто выходят из-под контроля. В книге описываются методы и процессы, позволяющие решать ключевые вопросы: от создания чек-листов до организации командной работы, от инкапсуляции до декомпозиции, от проектирования API до модульного тестирования. Автор иллюстрирует свои выводы фрагментами кода, взятыми из готового проекта. Написанные на языке C#, они будут понятны всем, кто использует любой объектно-ориентированный язык, включая Java, C++ и TypeScript. Для более глубокого изучения материала вы можете загрузить весь код и подробные комментарии к коммитам. Книга предназначена для опытных программистов. Предполагается, что они уже имели дело с неподдерживаемым кодом, с неудачными проектами по разработке ПО и стремятся к решению этих проблем. Основная аудитория книги — разработчики корпоративного ПО, в частности бэкенд-разработчики.

Название: The AWK Programming Language, 2nd Edition (Early Release)
Автор: Alfred V. Aho, Brian W. Kernighan, Peter J. Weinberger
Издательство: Pearson/Addison-Wesley Professional
Год: 2023
Страниц: 341
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

The goal of this book is to teach you what AWK is and how to use it effectively. AWK was created in 1977 as a simple programming language for writing short programs that manipulate text and numbers with equal ease. It was meant as a scripting language to complement and work well with Unix tools, following the Unix philosophy of having each program do one thing well and be composable with other programs. The computing world today is enormously different from what it was in 1977. Computers are thousands of times faster and have a million times as much memory. Software is different too, with a rich variety of programming languages and computing environments. The Internet has given us more data to process, and it comes from all over the world. We’re no longer limited to the 26 letters of English either; thanks to Unicode, computers process the languages of the world in their native character sets. Even though AWK is nearly 50 years old, and in spite of the great changes in computing, it’s still widely used, a core Unix tool that’s available on any Unix, Linux, or macOS system, and usually on Windows as well. There’s nothing to download, no libraries or packages to import — just use it. It’s an easy language to learn and you can do a lot after only a few minutes of study.

Название: Mastering TypeScript : A Comprehensive Guide to Modern jаvascript Development with TypeScript
Автор: Eliza Rosewood
Издательство: Ali Alakbar Mohammed Radhi
Год: July 4, 2023
Страниц: 146
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

TypeScript is a powerful programming language that extends jаvascript, providing a statically typed environment for building large-scale web applications. This book offers a comprehensive guide to TypeScript, designed for both novice and experienced programmers alike. From its fundamental syntax to its advanced features, such as interfaces and decorators, this book covers all aspects of TypeScript and provides a thorough understanding of how to use it effectively. With clear explanations, practical examples, and expert insights, this book will help you master TypeScript and take your web development skills to the next level. Get ready to unlock the full potential of TypeScript and build dynamic, high-performing web applications! Whether you are a seasoned jаvascript developer or just starting out, this book will equip you with the skills and knowledge needed to write efficient, high-quality code with TypeScript. With clear explanations, practical examples, and real-world case studies, you will learn how to take advantage of TypeScript's features to write efficient, reliable, and maintainable applications. By the end of this book, you will have a solid understanding of TypeScript and the confidence to use it in your own projects.

Название: Logic and Language Models for Computer Science, 4th Edition
Автор: Dana Richards, Henry Hamburger
Издательство: World Scientific Publishing
Год: 2023
Страниц: 497
Язык: английский
Формат: pdf (true)
Размер: 11.2 MB

This unique compendium highlights the theory of computation, particularly logic and automata theory. Special emphasis is on Computer Science (CS) applications including loop invariants, program correctness, logic programming and algorithmic proof techniques. This innovative volume differs from standard textbooks, by building on concepts in a different order, using fewer theorems with simpler proofs. It has added many new examples, problems and answers. It can be used as an undergraduate text at most universities. The models in this book are simplifications too, but not of material objects like airplanes. For computer scientists, the objects of study lie mainly in the world of symbols. In this book, it will be computer software and especially the programming languages in which that software is written from which we draw our models and to which we apply them. We have chosen to focus on language, the crucial link between hardware and software. Programming languages permit software to be written and language processors - compilers, interpreters and assemblers - permit hardware to run that software. Sometimes a model proves to be so interesting and widely applicable that it becomes an object of study in its own right. That is the case with the logic and language models in this book.

Название: 2D Computer Vision: Principles, Algorithms and Applications
Автор: Yu-Jin Zhang
Издательство: World Scientific Publishing
Год: 2022
Страниц: 556
Язык: английский
Формат: pdf (true)
Размер: 30.9 MB

This special compendium introduces the basic principles, typical methods and practical techniques of 2D computer vision. The volume comprehensively covers the introductory content of computer vision and the materials are selected based on courses conducted in the past 20 years.The useful textbook provides numerous examples and self-test questions (including hints and answers) through intuitive explanations to help readers understand abstract concepts.This unique reference text provides the first computer vision course service for undergraduates of related majors in university and colleges. It also allows teachers to carry out online courses and strengthen teacher-student interaction when teaching

Название: C, C++ & C# in easy steps, Special Edition
Автор: Mike McGrath
Издательство: In Easy Steps Limited
Год: 2023
Страниц: 373
Язык: английский
Формат: epub
Размер: 18.0 MB

C, C++ & C# in easy steps is a comprehensive guide to help you create your own programs in the C, C++ and C# programming languages, combining knowledge from the latest C, C++ and C# books in the In Easy Steps series. Color-coded example programs together with screenshots illustrate the output when the program has been executed, making it easy to grasp. Download the FREE sample code for checking against your own work. All examples demonstrate C and C++ features supported by current compilers on both Windows and Linux operating systems, and demonstrate C# features in the Microsoft Visual Studio development suite – all in easy steps! Ideal for programmers, students and novices seeking a career in computing who need a fundamental understanding of procedural programming.

Название: Фундаментальный подход к программной архитектуре: паттерны, свойства, проверенные методы
Автор: Марк Ричардс, Нил Форд
Издательство: Питер
Год: 2023
Страниц: 448
Язык: русский
Формат: pdf
Размер: 10.18 MB

Архитекторы ПО стабильно входят в десятку самых высокооплачиваемых профессий. Но до сих пор не было реального руководства, которое позволило бы разработчикам стать архитекторами. И вот наконец появилась книга, в которой дается всеобъемлющий обзор разнообразных аспектов архитектуры программного обеспечения. Начинающие и уже состоявшиеся архитекторы найдут в ней паттерны архитектур, определения компонентов, приемы построения эволюционных архитектур и множество других тем. Марк Ричардс и Нил Форд обладают бесценным практическим опытом, профессионально занимаются этой темой, уделяя особое внимание принципам построения архитектуры, применимым ко всем технологическим стекам. Они предлагают современный взгляд на архитектуру ПО с учетом всех нововведений последнего десятилетия.

Название: Mathematical Analysis of Machine Learning Algorithms
Автор: Tong Zhang
Издательство: Cambridge University Press
Год: 2023
Страниц: 469
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The mathematical theory of Machine Learning not only explains the current algorithms but can also motivate principled approaches for the future. This self-contained textbook introduces students and researchers of AI to the main mathematical techniques used to analyze Machine Learning algorithms, with motivations and applications. Topics covered include the analysis of supervised learning algorithms in the iid setting, the analysis of neural networks (e.g. neural tangent kernel and mean-field analysis), and the analysis of Machine Learning algorithms in the sequential decision setting (e.g. online learning, bandit problems, and reinforcement learning). Students will learn the basic mathematical tools used in the theoretical analysis of these Machine Learning problems and how to apply them to the analysis of various concrete algorithms. This textbook is perfect for readers who have some background knowledge of basic Machine Learning methods, but want to gain sufficient technical knowledge to understand research papers in theoretical Machine Learning.