Courses from 1000+ universities
Two years after its first major layoff round, Coursera announces another, impacting 10% of its workforce.
600 Free Google Certifications
Artificial Intelligence
Cybersecurity
Computer Networking
How Things Work: An Introduction to Physics
End of Life Care: Challenges and Innovation
Understanding Medical Research: Your Facebook Friend is Wrong
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore topological analysis of neural networks using algebraic topology techniques on biologically accurate digital reconstructions, revealing structural and functional insights into brain connectivity.
Algebraic stability theorems for generalized persistence modules, exploring interleaving metrics, bottleneck metrics, and isometry theorems in the context of poset algebras and quiver representations.
Explore k-regular maps and interpolation theory in algebraic geometry. Learn construction methods, bounds, and applications to continuous function interpolation using advanced mathematical concepts.
Explore topological complexity in robotics motion planning, its algebraic topology properties, recent developments, and research trends in this rich field.
Explore Cohen's Vanishing theorem and its applications in algebraic topology, geometry, and combinatorics. Discover its impact on configuration spaces and measure partition problems.
Exploring grain-scale mechanisms in granular crystallization using X-ray tomography and persistent homology, revealing key formation processes of tetrahedral and octahedral pores in spherical bead packings.
Explore practical applications of computational topology in material science, dynamical systems, and brain research. Learn how theory and algorithms work together to solve real-world problems.
Explore persistent homology and persistence images for topological data analysis. Learn to convert persistence diagrams into vector representations for machine learning applications.
Explore estimating manifold reach in geometric inference, covering problem formulation, statistical models, and minimax estimates for global and local cases.
Explore persistent homology in drug discovery, focusing on structure-based design, chemical compound analysis, and machine learning applications for virtual screening and classification.
Explore topological data analysis in signal processing, covering embedding techniques, harmonic effects, and applications in seizure prediction and power grid oscillation detection.
Explore topological data analysis and machine learning, covering methodology, examples, dimension reduction, and advanced techniques for feature extraction and classification.
Explore algebraic stability in zigzag persistence modules, covering key concepts, theorems, and applications in topological data analysis and computational topology.
Explore sheaf-based modeling for wireless communications, covering topology, simplicial complexes, interference, and network activation. Learn about persistence, homological invariants, and simulation examples.
Explore robust topological inference with Larry Wasserman, covering persistence, confidence bands, bootstrap methods, and optimal tuning for data analysis and statistical modeling.
Get personalized course recommendations, track subjects and courses with reminders, and more.