Litgu.ru - Литературный Гуру

Название: Machine Learning for the Physical Sciences: Fundamentals and Prototyping with Julia
Автор: Carlo Requiao da Cunha
Издательство: CRC Press
Год: 2024
Страниц: 289
Язык: английский
Формат: pdf (true)
Размер: 20.5 MB

Machine Learning is an exciting topic with a myriad of applications. However, most textbooks are targeted towards Computer Science students. This, however, creates a complication for scientists across the physical sciences that also want to understand the main concepts of Machine Learning and look ahead to applications and advancements in their fields. This textbook bridges this gap, providing an introduction to the mathematical foundations for the main algorithms used in Machine Learning for those from the physical sciences, without a formal background in Computer Science. The main goal was to translate many Machine Learning algorithms into a language that physicists can understand and use. To achieve this goal, a combination of discussions, mathematical formalism, and coding was used. The language chosen for the codes was Julia.

Название: Программирование на C# для начинающих. Основные сведения
Автор(ы): Васильев Алексей
Издательство: Эксмо
Год: 2023
Страниц: 586
Формат: PDF
Размер: 15 Мб
Язык: русский

Первая часть самоучителя по C#, написанного известным российским автором учебников по программированию Алексеем Васильевым. В этой книге автор приглашает читателей ознакомиться с основами языка C#. Прочитав ее, вы узнаете историю языка, его структуру, ознакомитесь с типами данных и переменными, операторами, циклами и множеством другой полезной информации, необходимой для работы с этим языком.

Название: An Introduction to Optimization with Applications in Machine Learning and Data Analytics
Автор: Jeffrey Paul Wheeler
Издательство: CRC Press
Год: 2024
Страниц: 475
Язык: английский
Формат: pdf (true)
Размер: 22.4 MB

The primary goal of this text is a practical one. Equipping students with enough knowledge and creating an independent research platform, the author strives to prepare students for professional careers. Providing students with a marketable skill set requires topics from many areas of optimization. The initial goal of this text is to develop a marketable skill set for mathematics majors as well as for students of engineering, Computer Science, economics, statistics, and business. Optimization reaches into many different fields. Many of the problems rely on using a computer. Microsoft’s Excel is most often used, as this is common in business, but Python and other languages are considered. The consideration of other programming languages permits experienced mathematics and engineering students to use MATLAB or Mathematica, and the computer science students to write their own programs in Java or Python.

Название: Computational Intelligence Applications for Text and Sentiment Data Analysis
Автор: Dipankar Das, Anup Kumar Kolya, Abhishek Basu, Soham Sarkar
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 266
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Computational Intelligence Applications for Text and Sentiment Data Analysis explores the most recent advances in text information processing and data analysis technologies, specifically focusing on sentiment analysis from multifaceted data. The book investigates a wide range of challenges involved in the accurate analysis of online sentiments, including how to i) identify subjective information from text, i.e., exclusion of ‘neutral’ or ‘factual’ comments that do not carry sentiment information, ii) identify sentiment polarity, and iii) domain dependency. Spam and fake news detection, short abbreviation, sarcasm, word negation, and a lot of word ambiguity are also explored. Further chapters look at the difficult process of extracting sentiment from different multimodal information (audio, video and text), semantic concepts. In each chapter, the book's authors explore how computational intelligence (CI) techniques, such as deep learning, convolutional neural network, fuzzy and rough set, global optimizers, and hybrid machine learning techniques play an important role in solving the inherent problems of sentiment analysis applications.

Название: Библия Delphi (+ CD-ROM) - 2-е издание
Автор: Михаил Фленов
Издательство: БXВ-Петepбург
Год: 2008 - 2-е изд., перераб. и дополн.
Cтраниц: 803
Формат: pdf
Размер: 113 мб
Язык: русский

Книга посвящена программированию на языке Delphi от самых основ до примеров построения конкретных приложений. Подробно описывается логика выполнения каждого участка кода, чтобы читатель смог использовать эти знания при решении собственных задач.

Название: Master React in 5 Days: Become a React Expert in Under a Week
Автор: Eric Sarrion
Издательство: Apress
Год: 2023
Страниц: 293
Язык: английский
Формат: pdf (true), epub (true)
Размер: 13.9 MB

Do you dream of learning React without spending months in endless tutorials? Then this book is for you! In just five days, you will acquire the fundamental skills to start developing exceptional applications using this revolutionary technology. Whether you prefer to follow the book independently or alongside other online resources, it will provide you with a solid foundation to harness the full potential of React. Immerse yourself in an accelerated learning method that will allow you to make giant strides. Chapters are carefully designed to teach you the essential concepts of React, such as components, props, state, events, lifecycle, and hooks, without wasting time on complex explanations. Thanks to a clear and accessible writing style, you'll be able to dive into the intricacies of React from the first page. Code examples are accompanied by detailed explanations, enabling you to quickly grasp the subtleties of this technology.

Название: Marketing Research with R and Python
Автор: Howard Pong Yuen Lam
Издательство: World Scientific Publishing
Год: 2024
Страниц: 297
Язык: английский
Формат: pdf (true)
Размер: 22.7 MB

This book is meant for readers with little or no experience in programming in R and Python, who wish to quickly learn what is necessary, and be able to conduct marketing research by running tests easily in R or Python. A number of marketing research textbooks have been using SPSS or SAS for many years. Conversely, R and Python can be downloaded and installed in a personal computer for free. Instructors and students do not have to go to a computer room in a university to use SPSS or SAS anymore. Instead, students can run R or Python on their personal computers. So, marketers have to develop a new product concept and test it against a competitive concept. They can analyze data by using R or Python with word cloud, string, Chi-square, correlation, t-test, analysis of variance, regression, sentiment analysis, and web scrap- ing. R and Python programs are available for download and use for other applications.

Название: Machine and Deep Learning Using MATLAB: Algorithms and Tools for Scientists and Engineers
Автор: Kamal I. M. Al-Malah
Издательство: Wiley
Год: 2024
Страниц: 590
Язык: английский
Формат: pdf (true)
Размер: 50,4 MB

In-depth resource covering Machine Learning and Deep Learning methods using MATLAB tools and algorithms, providing insights and algorithmic decision-making processes. Machine and Deep Learning Using MATLAB introduces early career professionals to the power of MATLAB to explore machine and deep learning applications by explaining the relevant MATLAB tool or app and how it is used for a given method or a collection of methods. Its properties, in terms of input and output arguments, are explained, the limitations or applicability is indicated via an accompanied text or a table, and a complete running example is shown with all needed MATLAB command prompt code. The text also presents the results, in the form of figures or tables, in parallel with the given MATLAB code, and the MATLAB written code can be later used as a template for trying to solve new cases or datasets.

Название: Python for Absolute Beginners
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 212
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book eases you into the foundational aspects of Python 3.x with an extensive range of code samples that illustrate its diverse features. Start with Python tools and installations, and progressively learn intricacies like strings, loops, conditional logic, and much more. The appendices on NumPy and Pandas provide insights into efficient numerical operations, making it a holistic resource for novice programmers. Companion files with codesamples are available for downloading from the publisher.

Название: Android Studio Giraffe Essentials - Java Edition: Developing Android Apps Using Android Studio 2022.3.1 and Java
Автор: Neil Smyth
Издательство: Payload Media, Inc.
Год: 2023
Страниц: 796
Язык: английский
Формат: pdf (true), epub
Размер: 102.9 MB

Fully updated for Android Studio Giraffe and the new UI, this book aims to teach you how to develop Android-based applications using the Java programming language. This book begins with the basics and outlines how to set up an Android development and testing environment, followed by an overview of areas such as tool windows, the code editor, and the Layout Editor tool. An introduction to the architecture of Android is followed by an in-depth look at the design of Android applications and user interfaces using the Android Studio environment. Chapters also cover the Android Architecture Components, including view models, lifecycle management, Room database access, the Database Inspector, app navigation, live data, and data binding.