Добавить в избранное
Форум
Правила сайта "Мир Книг"
Группа в Вконтакте
Подписка на книги
Правообладателям
Найти книгу:
Навигация
Вход на сайт
Регистрация



Реклама


Название: Spring Quick Reference Guide: A Pocket Handbook for Spring Framework, Spring Boot, and More
Автор: Adam L. Davis
Издательство: Springer
Год: 2020
Формат: EPUB, PDF
Страниц: 268
Размер: 10 Mb
Язык: English

Quickly gain the insight necessary to address a multitude of Java-based Spring Framework and Spring Boot coding challenges using this succinct reference guide. Short, focused code examples will help you master many of the Spring elements such as AOP, data access, MVC for web development, security, web services/REST for microservices development, Batch for large data sets, and more. You’ll also get a rundown of the increasingly popular Spring Boot microframework as well.

You won’t find any technical jargon, bloated samples, drawn out history lessons, or witty stories in this book. What you will find is a language reference that is concise, to the point, and highly accessible. The book is packed with useful information and is a must-have for any Java programmer.
Разместил: vitvikvas 15-09-2020, 12:33 | Комментарии: 0 | Подробнее
Название: Fundamentals of Data Analytics: With a View to Machine Learning
Автор: Mathar, R., Alirezaei, G., Balda, E., Behboodi, A.
Издательство: Springer
Год: 2020
Формат: true pdf/epub
Страниц: 130
Размер: 12.3 Mb
Язык: English

This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are derived as powerful tools. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.
Разместил: bomboane 15-09-2020, 09:46 | Комментарии: 0 | Подробнее
Основы кодированияНазвание: Основы кодирования
Автор: Вернер М.
Издательство: Техносфера
Год: 2004
ISBN: 5-94836-019-9
Серия: Мир программирования
Формат: pdf
Страниц: 284
Размер: 39,1 Mb
Язык: Русский

Первое на русском языке массовое пособие для будущих инженеров-связистов и проектировщиков радиоэлектронной аппаратуры, включая системы на кристалле. Даны основы теории информации и сжатия данных, доходчиво изложены современные алгоритмы помехоустойчивого кодирования, реализации циклических и сверточных кодов.
Разместил: oksanavalera 15-09-2020, 06:19 | Комментарии: 0 | Подробнее
Machine Learning with Python: A Step-By-Step Guide in Learning from Scratch Machine Learning and Deep Learning with Python, a Practical Learning with Scikit-Learn and Tensor Flow with ExamplesНазвание: Machine Learning with Python: A Step-By-Step Guide in Learning from Scratch Machine Learning and Deep Learning with Python, a Practical Learning with Scikit-Learn and Tensor Flow with Examples
Автор: Mark J. Branson
Издательство: Independently published
Год: 2019
Страниц: 217
Язык: английский
Формат: pdf, azw3, epub
Размер: 11.7 MB

This book explicitly gives the reader layman’s introduction to machine learning with implementation in python libraries particularly using scikit learn and Tensor flow. We will learn about machine learning and its subset deep learning in detail along with program codes that will give a good overview for the developers. We will also discuss in detail about different machine learning algorithms like support vector machine, Linear regression method in detail with python examples. In the second part of the book, we will deal with neural networks and implement them using Tensor Flow. This book is easily understood and deals with complex concepts explained in a simple way such that beginners can understand it easily.
Разместил: Ingvar16 14-09-2020, 21:48 | Комментарии: 0 | Подробнее
Название: MFC основы программирования
Автор: Герберт Шилдт
Издательство: BHV
ISBN: 0-07-882222-Х; 5-7733-0021-4
Год: 1997
Формат: DjVu
Страниц: 561
Размер: 31.7 MB
Язык: Русский

В книге рассматриваются все аспекты работы с MFC 4. Подробно описывается иерархия классов библиотеки и рассказывается о том, как создавать основные компоненты Windows-приложения, включая меню, диалоговые окна и различные элементы управления. Дается исчерпывающая информация об использовании новых элементов управления, таких как панели инструментов, окна просмотра деревьев и мастера. Детально объясняются механизмы реализации потоковой многозадачности, всплывающих меню и контекстной помощи. В книге содержится огромное число примеров, большая часть которых совместима с любой версией Windows, включая Windows 95 и Windows NT.
Книга предназначена для начинающих разработчиков Windows-приложений, но будет интересна и опытным программистам, желающим узнать об особенностях программирования в 32-разрядных системах.

Скачать Герберт Шилдт - MFC основы программирования [1997, DjVu]

Разместил: Интересненько 14-09-2020, 19:49 | Комментарии: 0 | Подробнее
Название: Rust for the IoT: Building Internet of Things Apps with Rust and Raspberry Pi
Автор: Joseph Faisal Nusairat
Издательство: Apress
Год: 2020
Формат: PDF, EPUB
Страниц: 615
Размер: 28 Mb
Язык: English

Get started programming Rust applications for the Internet of Things (IoT). This book is a programming skills migration book that teaches you the Rust programming techniques most useful for IoT applications. You'll step through from server to board development in creating a set of IoT applications.

In Rust for the IoT, you'll learn how to build a modern server-side application using Rust on the backend. Then you'll use docker and Kubernetes to deploy these to a managed cloud. Finally you will use a Raspberry Pi with a SenseHat and Camera to capture the world around you and send that information to the cloud.
Разместил: vitvikvas 14-09-2020, 13:41 | Комментарии: 0 | Подробнее
Название: GNU Octave by Example: A Fast and Practical Approach to Learning GNU Octave
Автор: Ashwin Pajankar, Sharvani Chandu
Издательство: Apress
Год: 2020
Формат: PDF, EPUB
Страниц: 188
Размер: 12 Mb
Язык: English

Get a quick start to learn, understand, and apply GNU Octave using a math- and programming-friendly approach. This book focuses on an end-to-end track to teach mathematical programming, data science, signal processing, and image processing with GNU Octave.

GNU Octave by Example starts with an introduction to GNU Octave, a free and open-source alternative to MATLAB. Next, it explains the processes to install GNU Octave on popular operating systems such as Windows, Ubuntu, Raspberry Pi, and other platforms. Further, it covers hands-on exercises with GNU Octave exploring the basic functionality and command line in interactive mode. This is followed by covering matrices and various operations including how to read and analyze data from various sources. Moving forward, it introduces commonly used programming constructs in data visualization. It explains 2D and 3D data visualization along with data analysis. It also demonstrates the concepts related to geometry and its application with GNU Octave. It concludes with coverage of signal processing followed by image, video, and audio processing techniques.
Разместил: vitvikvas 14-09-2020, 13:31 | Комментарии: 0 | Подробнее
Название: Spatial Analysis with R: Statistics, Visualization, and Computational Methods, 2nd Edition
Автор: Tonny J. Oyana
Издательство: CRC Press
Год: 2021
Формат: PDF, EPUB
Страниц: 354
Размер: 22 Mb
Язык: English

In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes.
Разместил: vitvikvas 14-09-2020, 12:55 | Комментарии: 0 | Подробнее
Название: Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems
Автор: Shi Cheng, Yuhui Shi
Издательство: IGI Global
Год: 2020
Формат: EPUB
Страниц: 482
Размер: 52,8 Mb
Язык: English

The use of optimization algorithms has seen an emergence in various professional fields due to its ability to process data and information in an efficient and productive manner. Combining computational intelligence with these algorithms has created a trending subject of research on how much more beneficial intelligent-inspired algorithms can be within companies and organizations. As modern theories and applications are continually being developed in this area, professionals are in need of current research on how intelligent algorithms are advancing in the real world.
Разместил: vitvikvas 14-09-2020, 12:35 | Комментарии: 0 | Подробнее
Python for Data Science: The Ultimate Beginners' Guide to Data Science, Predictive Analytics, Statistics, and Machine LearningНазвание: Python for Data Science: The Ultimate Beginners' Guide to Data Science, Predictive Analytics, Statistics, and Machine Learning
Автор: Zed Fast
Издательство: Independently published
Год: 2019
Страниц: 131
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

What would it feel like if you could know your business decisions were accurate, and that they would always be successful? If you want to make your business more effective using all the data you have then read more. To start out this guidebook, we are going to take a look at what data science is all about, why it is important, and why we would want to work with this process in the first place as well. Then we are going to spend some time taking a look at the basics that come with the Python language, and how we are able to use this to help with our data science project. There are a lot of great coding languages out there that we are able to work with when it is time to handle data science, but many agree that the power, the libraries, and the ease to use and learn of Python make it one of the best choices to handle with this idea. We will also spend some time looking at a few of the libraries that are going to work with when it comes to Python, including NumPy and its arrays, Seaborn, and Matplotlib to get all of the work done in no time.
Разместил: Ingvar16 14-09-2020, 11:05 | Комментарии: 0 | Подробнее
 MyMirKnig.ru  ©2019     При использовании материалов библиотеки обязательна обратная активная ссылка    Политика конфиденциальности