Poux Florent (47 results)

paperback. Condition: Very Good. Complete and clean. All pages present and readable, binding intact. Highlighting or writing is absent or limited to a handful of pages. No water damage. Cover and spine may show light shelf wear, edge bumping, or minor creasing. May have a remainder mark, stickers or sticker residue, or a previous owner's name. Access codes, CDs, DVDs, and other bundled supplements may not be included and should be assumed used or missing unless the listing explicitly states otherwise.…

Condition: New.

Paperback. Condition: new. Paperback. 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 dataLoad, manipulate, analyze, and visualize 3D data using powerful Python librariesApply advanced AI algorithms for 3D pattern recognition (supervised and unsupervised)Use 3D reconstruction techniques to generate 3D datasetsImplement automated 3D modeling and generative AI workflowsExplore practical applications in areas like computer vision/graphics, geospatial intelligence, scientific computing, robotics, and autonomous drivingBuild accurate digital environments that spatial AI solutions can leverageFlorent 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

Paperback or Softback. Condition: New. 3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows. Book.

Condition: As New. Unread book in perfect condition.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Paperback. Condition: New. 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 dataLoad, manipulate, analyze, and visualize 3D data using powerful Python librariesApply advanced AI algorithms for 3D pattern recognition (supervised and unsupervised)Use 3D reconstruction techniques to generate 3D datasetsImplement automated 3D modeling and generative AI workflowsExplore practical applications in areas like computer vision/graphics, geospatial intelligence, scientific computing, robotics, and autonomous drivingBuild accurate digital environments that spatial AI solutions can leverageFlorent 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. …

Condition: New.

Condition: new.

Condition: New. In English.

paperback. Condition: New.

Paperback. Condition: New. 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 dataLoad, manipulate, analyze, and visualize 3D data using powerful Python librariesApply advanced AI algorithms for 3D pattern recognition (supervised and unsupervised)Use 3D reconstruction techniques to generate 3D datasetsImplement automated 3D modeling and generative AI workflowsExplore practical applications in areas like computer vision/graphics, geospatial intelligence, scientific computing, robotics, and autonomous drivingBuild accurate digital environments that spatial AI solutions can leverageFlorent 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. …

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

Condition: New. 2025. paperback. . . . . .

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Condition: New.

Condition: New. 2025. paperback. . . . . . Books ship from the US and Ireland.

Condition: NEW.

Paperback. Condition: Brand New. 350 pages. 9.19x7.00x9.19 inches. In Stock.

Taschenbuch. Condition: Neu. Neuware -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. > - 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. Englisch.…

Taschenbuch. Condition: Neu. Neuware -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. > - 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. Englisch.…

Taschenbuch. Condition: Neu. Neuware -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. > - 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.…

Paperback. Condition: New. 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 dataLoad, manipulate, analyze, and visualize 3D data using powerful Python librariesApply advanced AI algorithms for 3D pattern recognition (supervised and unsupervised)Use 3D reconstruction techniques to generate 3D datasetsImplement automated 3D modeling and generative AI workflowsExplore practical applications in areas like computer vision/graphics, geospatial intelligence, scientific computing, robotics, and autonomous drivingBuild accurate digital environments that spatial AI solutions can leverageFlorent 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. …

Condition: New.

Condition: New.