Directed graphs | Markov processes
The random surfing model is a graph model which describes the probability of a random user visiting a web page. The model attempts to predict the chance that a random internet surfer will arrive at a page by either clicking a link or by accessing the site directly, for example by directly entering the website's URL in the address bar. For this reason, an assumption is made that all users surfing the internet will eventually stop following links in favor of switching to another site completely. The model is similar to a Markov chain, where the chain's states are web pages the user lands on and transitions are equally probable links between these pages. (Wikipedia).
By popular request, this is a version of the video https://youtu.be/HfCQdFpNeLQ showing a linear wave hitting obstacles distributed according to a Poisson point process, but with a color scheme showing only the wave height. A Poisson point process is the most random distribution of points
From playlist Mangroves vs tsunamis (sort of)
Wave Model Applications: A Universe of Waves
Explore the wave model and its many applications, from the everyday world to the farthest reaches of the universe. This video is part of Perimeter Institute's free educational resource Wave Model Applications. Download the teacher's guide, modifiable worksheets, and supporting materials
From playlist Classroom Resources
Random Matrices as a model of Quantum Hydrodynamics - Paul Wiegman
Paul Wiegman University of Chicago November 5, 2013 For more videos, visit http://video.ias.edu
From playlist Mathematics
Random Processes and Stationarity
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Introduction to describing random processes using first and second moments (mean and autocorrelation/autocovariance). Definition of a stationa
From playlist Random Signal Characterization
Introduction to Random Signal Representation
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Introduction to the concept of a random signal, then review of probability density functions, mean, and variance for scalar quantities.
From playlist Random Signal Characterization
Richard Montgomery High School (Team #14928) Presentation
Richard Montgomery High School from Rockville, Maryland was the Technical Computing Runner Up in MathWorks Math Modeling Challenge 2021! On April 26, 2021, finalist teams presented their solution papers via Zoom to a panel of judges. Learn more about the 2021 Challenge problem topic and th
From playlist M3 Challenge
Scalable load balancing: Universality properties and stochastic coupling – S. Borst – ICM2018
Probability and Statistics | Mathematics in Science and Technology Invited Lecture 12.7 | 17.7 Scalable load balancing in networked systems: Universality properties and stochastic coupling methods Sem Borst Abstract: We present an overview of scalable load balancing algorithms which prov
From playlist Mathematics in Science and Technology
Introduction to Spatial Population Genetics (Lecture 1) by David Nelson
PROGRAM FIFTH BANGALORE SCHOOL ON POPULATION GENETICS AND EVOLUTION (ONLINE) ORGANIZERS: Deepa Agashe (NCBS, India) and Kavita Jain (JNCASR, India) DATE: 17 January 2022 to 28 January 2022 VENUE: Online No living organism escapes evolutionary change, and evolutionary biology thus conn
From playlist Fifth Bangalore School on Population Genetics and Evolution (ONLINE) 2022
Tune-A-Video - Make AI videos from text!
Tune-A-Video is an AI which allows you train a model on a video and then output another one based on your text! You could turn a skiing person into a skiing rodent, for example. Isn't this what the internet was made for after all? :) * Links! Space: https://huggingface.co/Tune-A-Video-lib
From playlist Nerdy Rodent Uploads!
Jean-Yves Welschinger: Expected topology of a random subcomplex in a simplicial complex
Abstract: I will explain how to bound from above and below the expected Betti numbers of a random subcomplex in a simplicial complex and get asymptotic results under infinitely many barycentric subdivisions. This is a joint work with Nermin Salepci. It complements previous joint works with
From playlist Probability and Statistics
DjangoCon 2014- Practical Django Secuirty
By, Levi Gross Web application security is an ever present problem. The "don't trust user input" mantra sounds nice but doesn't practically work. In this talk we will go over introduce and apply a set of practical programming paradigms that you can use to write secure code. Help us captio
From playlist DjangoCon 2014
DEFCON 19: Vanquishing Voyeurs: Secure Ways To Authenticate Insecurely
Speakers: Zoz Cannytrophic Design | Andrea Bianchi KAIST Observation is one of the principal means of compromise of authentication methods relying on secret information such as PINs and login/password combinations. Attackers can gather this information via observation, either from without
From playlist DEFCON 19
The Computer Chronicles - New PCs (1996)
Special thanks to archive.org for hosting these episodes. Downloads of all these episodes and more can be found at: http://archive.org/details/computerchronicles
From playlist The Computer Chronicles 1996 Episodes
Shmoocon 2010: Exposed More: Attacking the Extended Web 5/6
Clip 5/6 Speaker: Nathan Hamiel We all know the Internet is a series of tubes connecting many systems via networks. This architecture has been in place since the early days of the web. The landscape has changed quite a bit over the past few years with applications themselves becoming i
From playlist ShmooCon 2010
Randomness Quiz - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography