Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Roulette with Curves and Surfaces

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (51)

Probability and Random Variables: Key Concepts Explained Log in to Mediaspace to watch this video

Explains key concepts in probability, including conditional probability, independence, and random variables, with practical examples to illustrate their applications.

Graphical Models: Probability Distributions and Factor Graphs Log in to Mediaspace to watch this video

Covers graphical models for probability distributions and factor graphs representation.

Probability Distributions: Basics and Properties Log in to Mediaspace to watch this video

Covers the basics of probability distributions, including mean, variance, and properties of random variables.

Markov Chain Monte Carlo: Sampling High-Dimensional Distributions Log in to Mediaspace to watch this video

Covers Markov Chain Monte Carlo for sampling high-dimensional distributions, discussing challenges, advantages, and applications like the Knapsack Problem and cryptography.

Martingales and Brownian Motion: Reflection Principle Log in to Mediaspace to watch this video

Explores the reflection principle in martingales and Brownian motion, simplifying probability calculations.

Stochastic Processes: Definitions and Examples Log in to Mediaspace to watch this video

Covers the definitions and examples of continuous-time stochastic processes.

Characterization of Stochastic Processes: Theory and Applications Log in to Mediaspace to watch this video

Covers the characterization of stochastic processes, focusing on their mathematical foundations and real-world applications.

Precipitation and Hydrologic Design Log in to Mediaspace to watch this video

Covers methods to define the design storm, empirical distribution of rainfall maxima, Gumbel distribution, and intensity-duration-frequency relationships.

Supervised Learning Fundamentals Log in to Mediaspace to watch this video

Introduces the fundamentals of supervised learning, including loss functions and probability distributions.

Stochastic Models for Communications Log in to Mediaspace to watch this video

Explores stochastic models for communications, covering mean, variance, characteristic functions, inequalities, various discrete and continuous random variables, and properties of different distributions.

Transformer Architecture: Subquadratic Attention Mechanisms Log in to Mediaspace to watch this video

Covers transformer architecture, focusing on encoder-decoder models and subquadratic attention mechanisms for efficient processing of input sequences.

Hydrologic and Hydraulic Design Log in to Mediaspace to watch this video

Explores the design of engineering works for floods, focusing on 100-year flood determination and the collapse of levees during extreme events.

Estimating Random Variables Log in to Mediaspace to watch this video

Covers the estimation of random variables and their functions.

Statistical Theory: Fundamentals Log in to Mediaspace to watch this video

Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.

Probability Distributions: Central Limit Theorem and Applications Log in to Mediaspace to watch this video

Discusses probability distributions and the Central Limit Theorem, emphasizing their importance in data science and statistical analysis.

Fractals: Dimensions and Applications Log in to Mediaspace to watch this video

Explores fractals, dimensions, and applications, including mountain formation simulation and landscape authoring through erosion and vegetation interplay.

Elements of Statistics Log in to Mediaspace to watch this video

Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.

Joint Random Variables: Marginal Laws Log in to Mediaspace to watch this video

Explains joint random variables, marginal laws, and independence implications.

Martingales and Brownian Motion: Probability of Visiting Origin and Arcsine Law Log in to Mediaspace to watch this video

Explores the probability of visiting the origin and the arcsine law in martingales and Brownian motion.

Geometric and Negative Binomial Distributions Log in to Mediaspace to watch this video

Explains the geometric and negative binomial distributions and their properties.

Page 2 of 3