Courses from 1000+ universities
$7.2 billion in combined revenue since 2020. $8 billion in lost market value. This merger marks the end of an era in online education.
600 Free Google Certifications
Computer Science
Artificial Intelligence
OpenAI
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Introduction to Graphic Illustration
The Science of Gastronomy
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore new frontiers in structure vs randomness, delving into applications in combinatorics, complexity, and algorithms. Gain insights on Erdos-Turan problem and recent advancements in additive combinatorics.
Explore the history and recent progress in convex geometry, focusing on Minkowski's theory and its connections to various mathematical disciplines.
Explore geometric deep graph learning in non-Euclidean spaces. Discover properties of hyperbolic and hyperspherical spaces for enhanced graph representation and analysis across various applications.
Explore quantum symmetry through moduli spaces of flat G-bundles, examining cluster Poisson structures and their quantization to uncover connections with quantum groups and representations.
Explore federated learning for nonparametric regression, focusing on statistical optimality, privacy preservation, and the balance between accuracy and data protection in distributed settings.
Explore CellChat, an integrated method for inferring and analyzing cell-cell communication from single-cell sequencing data using systems biology and machine learning approaches.
Explore deep learning techniques for privacy-preserving machine learning, focusing on neural networks and differential privacy in crowdsourced, sensitive datasets.
Explore old and new developments in the Erdos-Szekeres convex polygon problem, gaining insights into this fascinating mathematical challenge.
Explore higher genus meanders, their asymptotics, and connections to moduli spaces of Abelian and quadratic differentials. Gain insights into complex mathematical concepts and recent advances in geometry.
Explore canonical renormalisation of singular stochastic PDEs through regularity structures, bialgebras of decorated forests, and algebraic Birkhoff factorisation.
Explore polynomial bounds on Reidemeister moves in knot theory, examining algorithms for trivial knot recognition and the relationship between diagram complexity and move sequences.
Explore variational approximations in Bayesian inference, focusing on group-variable selection and heteroscedastic Gaussian processes. Learn efficient parameter estimation and process forecasting techniques.
Explore graph theory's application in material genes and structural chemistry of Li-ion batteries. Uncover new paradigms for advancing critical battery materials through interdisciplinary research methods.
Explore Crystal Graph Convolutional Neural Networks for predicting material properties and their impact on graph neural networks and transformers in materials design.
Explore the known results and open questions surrounding the sparsity of rational points on curves, gaining insights into this mathematical concept.
Get personalized course recommendations, track subjects and courses with reminders, and more.