3D Data Science with Python

Building Accurate Digital Environments with 3D Point Cloud Workflows

Description

This practical guide offers data scientists, engineers, and researchers a hands-on approach to working with 3D data using Python. From 3D reconstruction to 3D deep learning techniques, you'll learn how to extract valuable insights from massive datasets, including point clouds, voxels, 3D CAD models, meshes, images, and more.
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Writer
Poux, Florent
Title
3D Data Science with Python
Publisher
O'Reilly Media
Year
2025
Language
English
Pages
500
Weight
1172 gr
EAN
9781098161330
Dimensions
234 x 179 x 38 mm
Binding format
Paperback / softback

You will always receive the last edition from us!


Categories

Boekstra