SKU: 36018732876

3D Data Science with Python

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Description

3D Data Science with PythonAll Indian Reprints of O'Reilly are printed in Grayscale 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,

All Indian Reprints of O'Reilly are printed in Grayscale

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

About the Author

Florent Poux is an esteemed authority in the field of 3D data science. He teaches and conducts research for top EU Universities. He is also the Head Professor of the 3D Geodata Academy and Innovation Director for FrenchTech120 Companies. With a decade of experience, Florent's expertise in Python and its applications to 3D data is unrivaled. His groundbreaking research and real-world contributions have garnered acclaim in academia and industries with several awards. His unique journey merges a deep academic perspective with a pragmatic view of creating innovative 3D products and solutions. Whether you're a coder, data scientist, engineer, or curious researcher, Florent's insights will propel you toward new frontiers and exciting opportunities in this rapidly evolving field.

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SKU: 36018732876

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★★★★★ 5
No more washing pozole/menudo bowls for me
Style: 34 Ounces, Size: 34 Count
Very sturdy for a paper plate. Used these for pozole at a party and saved me the hassle of washing plates. Good size, bigger than you think. When serving it does get hot so use something underneath so you don’t get burned.
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NancyPS
Omaha, US
★★★★★ 5
Extra large paper bowls are sturdy, affordable, and make clean up a breeze.
Style: 34 Ounces, Size: 34 Count
I like the convenience of paper plates and these large 34 oz. bowls are perfect for microwave cooking. They are deep enough to handle soup, pasta, stuffing and vegetable sides with no problems and without any leaking, and are a good value for the price. They look stylish and make clean up less of a chore. You can't go wrong with Dixie paper products. They're sturdy, fun, and last through the meal.
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Dallas, US
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Great product great for salads they are sturdy and well made.
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Good size for a serving bowl.
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Nice large bowl. Can be used as a serving bowl. Nice design and sturdy. I have subscribed to receive a pack once a month.
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Big, and really sturdy. I can put any food in this and trust it will uphold.
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