3D data science with Python : (Record no. 141340)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02166nam a22002297a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260708170118.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260708s2025 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781098161330 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | PK-LaUMT |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.37 |
| Item number | POU-D |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Poux, Florent |
| 245 10 - TITLE STATEMENT | |
| Title | 3D data science with Python : |
| Remainder of title | building accurate digital environments with 3D point cloud workflows / |
| Statement of responsibility, etc | Florent Poux |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Sebastopol : |
| Name of publisher, distributor, etc | O'Reilly, |
| Date of publication, distribution, etc | 2025 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxvii, 658 p. |
| 500 ## - GENERAL NOTE | |
| General note | Index present |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Our physical world is grounded in three dimensions. To create technology that can reason about and interact with it, our data must be 3D too. 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. Dr. Florent Poux helps you leverage the potential of cutting-edge algorithms and spatial AI models to develop production-ready systems with a focus on automation. You'll get the 3D data science knowledge and code to: Understand core concepts and representations of 3D data ; Load, manipulate, analyze, and visualize 3D data using powerful Python libraries ; Apply advanced AI algorithms for 3D pattern recognition (supervised and unsupervised) ; Use 3D reconstruction techniques to generate 3D datasets ; Implement automated 3D modeling and generative AI workflows ; Explore practical applications in areas like computer vision/graphics, geospatial intelligence, scientific computing, robotics, and autonomous driving ; Build accurate digital environments that spatial AI solutions can leverage. Florent Poux is an esteemed authority in the field of 3D data science who teaches and conducts research for top European universities. He's also head professor at the 3D Geodata Academy and innovation director for French Tech 120 companies |
| 546 ## - LANGUAGE NOTE | |
| Language note | Eng |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer vision |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | 3D-imaging |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bacher, Uwe |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Home library | Current library | Date acquired | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Copy number |
|---|---|---|---|---|---|---|---|---|---|---|---|
| UMT Main Campus | UMT Main Campus | 2026-07-08 | 006.37 POU-D | 153281 | 2026-07-08 | 2026-07-08 | Books | ||||
| UMT Main Campus | UMT Main Campus | 2026-08-04 | 006.37 POU-D | 153863 | 2026-08-04 | 2026-08-04 | Books | C.2 |