BOOKS - 3D Data Science with Python Building Accurate Digital Environments with 3D Po...
3D Data Science with Python Building Accurate Digital Environments with 3D Point Cloud Workflows (Early Release) - Florent Poux 2024-10-28 EPUB O’Reilly Media, Inc. BOOKS
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3D Data Science with Python Building Accurate Digital Environments with 3D Point Cloud Workflows (Early Release)
Author: Florent Poux
Year: 2024-10-28
Format: EPUB
File size: 22.9 MB
Language: ENG



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Book Description: '3D Data Science with Python Building Accurate Digital Environments with 3D Point Cloud Workflows Early Release' is a comprehensive guide to understanding the power of 3D data science and its applications in various fields. The book provides a detailed overview of the technology and its potential to revolutionize various industries. It covers topics such as point cloud workflows, 3D visualization, and machine learning algorithms, making it an essential resource for anyone looking to leverage the full potential of 3D data science. The book begins by exploring the concept of 3D data science and its significance in today's world. It discusses how 3D data has become increasingly important in various fields such as architecture, engineering, and construction. The authors explain how 3D data can be used to create accurate digital environments that can help professionals make better decisions. They also highlight the challenges associated with managing and analyzing large amounts of 3D data, which is where 3D data science comes into play. The book then delves into the world of point clouds, explaining how they are created and their applications in various fields.
«3D Data Science with Python Building Accurate Digital Environments with 3D Point Cloud Workflows Early Release» - это всеобъемлющее руководство по пониманию возможностей 3D data science и ее приложений в различных областях. В книге представлен подробный обзор технологии и ее потенциала совершить революцию в различных отраслях. Он охватывает такие темы, как рабочие процессы облака точек, трехмерная визуализация и алгоритмы машинного обучения, что делает его важным ресурсом для всех, кто хочет использовать весь потенциал науки о трехмерных данных. Книга начинается с изучения концепции науки о 3D-данных и ее значимости в современном мире. В нем обсуждается, как 3D-данные становятся все более важными в различных областях, таких как архитектура, проектирование и строительство. Авторы объясняют, как 3D-данные можно использовать для создания точных цифровых сред, которые могут помочь профессионалам принимать более правильные решения. Они также подчеркивают проблемы, связанные с управлением и анализом больших объемов 3D-данных, что является местом, где наука о 3D-данных вступает в игру. Затем книга углубляется в мир облаков точек, объясняя, как они создаются и их применение в различных областях.
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