: Improving object detection so models recognize an airplane regardless of its orientation.
: A method to distinguish significant features from noise by seeing which topological "holes" persist as you vary the scale of the data. Algebraic Foundations for Applied Topology and ...
: Analyzing viral evolution or breast cancer pathology. : Improving object detection so models recognize an
Which (like Homology or Sheaf Theory) sounds most interesting? mathematically principled approach to data science
💡 If you want to move beyond "hacking" shape-based features and instead want a rigorous, mathematically principled approach to data science, this is your starting point.
: Combinatorial structures that generalize graphs to higher dimensions to represent multi-dimensional relationships.
Do you need help finding to implement these TDA concepts?