Название: How to Fine-tune Support Vector Machines for Classification
Автор: Ionut Brandusoiu, Gavril Toderean
Издательство: GAER Publishing House
Год: 2020
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

In Machine Learning (ML), support-vector machines (SVMs) are supervised learning models with associated learning algorithms that analyze data for classification and regression analysis. This book covers in the first part the theoretical aspects of support vector machines and their functionality, and then based on the discussed concepts it explains how to find-tune a support vector machine to yield highly accurate prediction results which are adaptable to any classification tasks. The introductory part is extremely beneficial to someone new to learning support vector machines, while the more advanced notions are useful for everyone who wants to understand the mathematics behind support vector machines and how to find-tune them in order to generate the best predictive performance of a certain classification model.

Название: How to Fine-tune Neural Networks for Classification
Автор: Ionut Brandusoiu, Gavril Toderean
Издательство: GAER Publishing House
Год: 2020
Язык: английский
Формат: pdf (true)
Размер: 14.9 MB

This book covers in the first part the theoretical aspects of neural networks and their functionality, and then based on the discussed concepts it explains how to find-tune a neural network to yield highly accurate prediction results which are adaptable to any classification tasks. The introductory part is extremely beneficial to someone new to learning neural networks, while the more advanced notions are useful for everyone who wants to understand the mathematics behind neural networks and how to find-tune them in order to generate the best predictive performance of a certain classification model. For a better understanding of the underlying theory of neural networks for classification, Chapter 1 describes supervised learning in the context of Machine Learning and all its related concepts.

Название: Python 3 for Science and Engineering Applications: Learn to use Python productively in real-life scenarios at work and in everyday life
Автор: Felix Bittmann
Издательство: Elektor International Media
Год: 2020
Формат: true pdf/azw3
Страниц: 168
Размер: 10.4 Mb
Язык: English

If you have mastered the basics of Python and are wanting to explore the language in more depth, this book is for you. By means of concrete examples used in different applications, the book illustrates many aspects of programming (e.g. algorithms, recursion, data structures) and helps problem-solving strategies. Including general ideas and solutions, the specifics of Python and how these can be practically applied are discussed.

Название: Программирование графических процессоров с использованием Direct3D и HLSL
Автор: Семенов А.Б.
Издательство: ИНТУИТ
Год: 2007
Формат: pdf
Страниц: 180
Размер: 73,6 Mb
Язык: Русский

Курс посвящен изучению математических и алгоритмических основ современной двумерной и трехмерной графики, включая задачи и методы реалистической визуализации и анимации, а также основные методы и алгоритмы обработки изображений.

Название: MATLAB Econometrics Toolbox User's Guide (R2021a)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: 2021
Страниц: 3452
Язык: английский
Формат: pdf (true)
Размер: 22.6 MB

Model and analyze financial and economic systems using statistical methods. Econometrics Toolbox provides functions for analyzing and modeling time series data. It offers a wide range of visualizations and diagnostics for model selection, including tests for autocorrelation and heteroscedasticity, unit roots and stationarity, cointegration, causality, and structural change. You can estimate, simulate, and forecast economic systems using a variety of modeling frameworks. These frameworks include regression, ARIMA, state-space, GARCH, multivariate VAR and VEC, and switching models. The toolbox also provides Bayesian tools for developing time-varying models that learn from new data.

Название: Advanced Programming with STM32 Microcontrollers: Master the Software Tools Behind the STM32 Microcontroller
Автор: Majid Pakdel
Издательство: Elektor Verlag
Год: 2020
Формат: PDF
Страниц: 216
Размер: 39 Mb
Язык: English

This book is project-based and aims to teach the software tools behind STM32 microcontroller programming. Author Majid Pakdel has developed projects using various different software development environments including Keil MDK, IAR Embedded Workbench, Arduino IDE and MATLAB. Readers should be able to use the projects as they are, or modify them to suit to their own needs. This book is written for students, established engineers, and hobbyists.

Название: Anomaly Detection: Techniques and Applications
Автор: A. Syed Mustafa Saira Banu, Shriram Raghunathan, Dinesh Mavaluru
Издательство: Nova Science Pub Inc
Год: 2021
Формат: PDF
Страниц: 190
Размер: 10 Mb
Язык: English

When information in the data warehouse is processed, it follows a definite pattern. An unexpected deviation in the data pattern from the usual behavior is called an anomaly. The anomaly in the data is also referred to as noise, outlier, spammer, deviations, novelties and exceptions. Identification of the rare items, events, observations, patterns which raise suspicion by differing significantly from the majority of data is called anomaly detection. With progress in technology and the widespread use of data for the purpose of business, spam faced by individuals and companies is increasing day by day.

Название: Basic Statistics with R: Reaching Decisions with Data
Автор: Stephen C. Loftus
Издательство: Academic Press;
Год: 2021
Формат: PDF
Страниц: 275
Размер: 10 Mb
Язык: English

Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and statistical inference - including hypothesis testing and confidence intervals. All topics are taught using real-data drawn from various fields, including economics, biology, political science and sports. Using this wide variety of motivating examples allows students to directly connect and make statistics essential to their field of interest, rather than seeing it as a separate and ancillary knowledge area.

Название: Идеальная архитектура: Ведущие специалисты о красоте программных архитектур
Автор: Спинеллис Д., Гусиос Г.
Издательство: СПб.: Символ+
Год: 2010
Cтраниц: 528
Формат: pdf
Размер: 45 мб

Из каких компонентов строятся надежные, элегантные, гибкие, удобные в сопровождении программные архитектуры? Книга отвечает на этот вопрос серией очерков, написанных ведущими программными архитекторами и проектировщиками современности. В каждом очерке авторы представляют какую-либо выдающую программную архитектуру, анализируют ее отличия от других архитектур и объясняют, почему она идеально подходит для своей цели.

Название: PHP 8 Objects, Patterns, and Practice: Mastering OO Enhancements, Design Patterns, and Essential Development Tools
Автор: Matt Zandstra
Издательство: Apress
Год: 2021
Формат: true pdf/epub
Страниц: 842
Размер: 15 Mb
Язык: English

Learn how to develop elegant and rock-solid systems using PHP, aided by three key elements: object fundamentals, design principles, and best practices. The 6th edition of this popular book has been fully updated for PHP 8, including attributes, constructor property promotion, new argument and return pseudo-types, and more. It also covers many features new since the last edition including typed properties, the null coalescing operator, and void return types.