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
Machine Learning
Python
Microsoft Excel
Intelligenza Artificiale
Python for Data Science
Introduction to Philosophy
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore functional inequalities, convergence of flows, and logconcavity of probability measures in high-dimensional spaces through optimal transport theory.
Explores advanced applications of dual chains in random walks, focusing on less symmetric scenarios and statistical applications, with examples from hyperplane arrangements and non-uniform duals.
Explore applications of dual processes in Markov chains, including strong stationary times, eigenvalue interpretation, and solutions to the Peres conjecture for Birth and Death chains.
Explore advanced Markov chain analysis through embedded processes, intertwining relations, and various dualities. Gain insights into stationarity and extensions to set and measure-valued duals.
Explore Markov chains, mixing times, and card shuffling techniques. Learn about strong stationary times and their properties in this advanced probability theory lecture.
Explore geometric formulas for semisimple orbital integrals, connecting heat equation methods to Selberg's trace formula through Laplacian deformations and Fokker-Planck operators.
Explores the hypoelliptic Laplacian's construction and applications in real and complex geometry, focusing on de Rham and Dolbeault theories and its role as a geometric Fokker-Planck operator.
Explore the fascinating history and diverse applications of random walks, from mosquito control to AI, and their impact on modern technology and scientific understanding.
Explore AI's impact on scientific progress, from leveraging fundamental principles to utilizing data. Discover ongoing projects shaping new research infrastructure.
Explore optimal transport theory and its applications in high-dimensional probability, focusing on fundamental concepts and recent developments in this mathematical field.
Explore optimal transport theory and high-dimensional probability in Wasserstein spaces, delving into advanced mathematical concepts and their applications.
Explore functional inequalities, concentration of measure, and transport inequalities in high-dimensional probability, including sub-Gaussian variables and the entropy method.
Explore optimal transport, high-dimensional probability, and Langevin dynamics through advanced calculus techniques in this mathematical deep dive.
Explore optimal transport and high-dimensional probability through Otto's Calculus on Wasserstein spaces, delving into advanced mathematical concepts and their applications.
Explore approximately Hadamard matrices and random frames with Mark Rudelson, delving into advanced mathematical concepts and their applications in signal processing and data analysis.
Get personalized course recommendations, track subjects and courses with reminders, and more.