3D Data Science with PythonBy Prof. Florent Poux Course Content Expand All ✨ BONUS TUTORIALS 3D Reconstruction 1 Topic Expand Lesson Content 0% Complete 0/1 Steps DepthAnything v2 Tutorial 📕 BOOK RESOURCES Chapter 1 – Introduction to 3D Data Science Chapter 2 – Resources and Software Essentials Chapter 3 – 3D Python and 3D Data Setup Chapter 4 – 3D Data Representation and Structuration Chapter 5 – Developing a Multimodal 3D Viewer with Python Chapter 6 – Point Cloud Data Engineering Chapter 7 – Building 3D Analytical Apps Chapter 8 – 3D Data Analysis Chapter 9 – 3D Shape Recognition Chapter 10 – 3D Modeling: Advanced Techniques Chapter 11 – 3D Building Reconstruction from LiDAR Data Chapter 12 – 3D Machine Learning: Clustering Chapter 13 – Graphs and Foundation Models for Unsupervised Segmentation Chapter 14 – Supervised 3D Machine Learning Fundamentals Chapter 15 – 3D Deep Learning with PyTorch Chapter 16 – PointNet for 3D Object Classification Chapter 17 – The 3D Data Science Workflow Chapter 18 – From 3D Generative AI to Spatial AI 🚀NEXT STEPS Become an Innovator
