Lemmas | Theorems in statistics | Poisson distribution
In statistics, the Robbins lemma, named after Herbert Robbins, states that if X is a random variable having a Poisson distribution with parameter λ, and f is any function for which the expected value E(f(X)) exists, then Robbins introduced this proposition while developing empirical Bayes methods. (Wikipedia).
Regularity lemma and its applications Part I - Fan Wei
Computer Science/Discrete Mathematics Seminar II Topic: Regularity lemma and its applications Part I Speaker: Fan Wei Affiliation: Member, School of Mathematics Dater: December 3, 2019 For more video please visit http://video.ias.edu
From playlist Mathematics
Graph regularity and counting lemmas - Jacob Fox
Conference on Graphs and Analysis Jacob Fox June 5, 2012 More videos on http://video.ias.edu
From playlist Mathematics
This course is on Lemma: http://lem.ma Lemma looking for developers: http://lem.ma/jobs Other than http://lem.ma, I recommend Strang http://bit.ly/StrangYT, Gelfand http://bit.ly/GelfandYT, and my short book of essays http://bit.ly/HALAYT Questions and comments below will be prompt
From playlist Problems, Paradoxes, and Sophisms
This course is on Lemma: http://lem.ma Lemma looking for developers: http://lem.ma/jobs Other than http://lem.ma, I recommend Strang http://bit.ly/StrangYT, Gelfand http://bit.ly/GelfandYT, and my short book of essays http://bit.ly/HALAYT Questions and comments below will be prompt
From playlist Problems, Paradoxes, and Sophisms
Sum of Polynomial Coefficients Challenge
Solution on Lemma: https://www.lem.ma/-K (and additional challenges) Tangentially related good read: http://bit.ly/PascalsTri Twitter: https://twitter.com/PavelGrinfeld
From playlist Problems, Paradoxes, and Sophisms
Berge's lemma, an animated proof
Berge's lemma is a mathematical theorem in graph theory which states that a matching in a graph is of maximum cardinality if and only if it has no augmenting paths. But what do those terms even mean? And how do we prove Berge's lemma to be true? == CORRECTION: at 7:50, the red text should
From playlist Summer of Math Exposition Youtube Videos
Burnside's Lemma (Part 2) - combining math, science and music
Part 1 (previous video): https://youtu.be/6kfbotHL0fs Orbit-stabilizer theorem: https://youtu.be/BfgMdi0OkPU Burnside's lemma is an interesting result in group theory that helps us count things with symmetries considered, e.g. in some situations, we don't want to count things that can be
From playlist Traditional topics, explained in a new way
Sleep Experts Debunk 15 Sleep Myths
Two sleep experts debunk 15 of the most common myths about sleep. They explain that boredom, alone, doesn’t make you tired and that you should get out of bed if you can’t fall asleep. They also debunk the idea that loud snoring is nothing more than annoying. In fact, it’s often a sign of a
From playlist Debunked
Linear Algebra 19r: Translations, or How to Represent Nonlinear Transformations by Matrix Products
This course is on Lemma: http://lem.ma Lemma looking for developers: http://lem.ma/jobs Other than http://lem.ma, I recommend Strang http://bit.ly/StrangYT, Gelfand http://bit.ly/GelfandYT, and my short book of essays http://bit.ly/HALAYT Questions and comments below will be prompt
From playlist Part 3 Linear Algebra: Linear Transformations
Tony Robbins Dispels Several Common Myths About Investing | Big Think
Tony Robbins Dispels Several Common Myths About Investing Watch the newest video from Big Think: https://bigth.ink/NewVideo Join Big Think Edge for exclusive videos: https://bigth.ink/Edge ---------------------------------------------------------------------------------- Tony Robbins, aut
From playlist Big ideas in finance & investing | Big Think
Tony Robbins: How Carl Icahn, Wall Street's Activist Investor, Protects Shareholders | Big Think.
How Carl Icahn, Wall Street's Activist Investor, Protects Shareholders Watch the newest video from Big Think: https://bigth.ink/NewVideo Join Big Think Edge for exclusive videos: https://bigth.ink/Edge ---------------------------------------------------------------------------------- When
From playlist Big ideas in finance & investing | Big Think
Selection of the Best System using large deviations, and multi-arm Bandits by Sandeep Juneja
Large deviation theory in statistical physics: Recent advances and future challenges DATE: 14 August 2017 to 13 October 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru Large deviation theory made its way into statistical physics as a mathematical framework for studying equilibrium syst
From playlist Large deviation theory in statistical physics: Recent advances and future challenges
Adam Oberman: "Gradient descent, Stochastic gradient descent, and acceleration" (Part 2/2)
Watch part 1/2 here: https://youtu.be/s-rMfJsf35Y High Dimensional Hamilton-Jacobi PDEs Tutorials 2020 "Gradient descent, Stochastic gradient descent, and acceleration" (Part 2/2) Adam Oberman, McGill University Abstract: For large scale machine learning problems, second order approxima
From playlist High Dimensional Hamilton-Jacobi PDEs 2020
Linear Algebra 11q: Algorithm for Calculating the Inverse Matrix
https://bit.ly/PavelPatreon https://lem.ma/LA - Linear Algebra on Lemma http://bit.ly/ITCYTNew - Dr. Grinfeld's Tensor Calculus textbook https://lem.ma/prep - Complete SAT Math Prep
From playlist Part 1 Linear Algebra: An In-Depth Introduction with a Focus on Applications
Emilie Kaufmann - Optimal Best Arm Identification with Fixed Confidence
This talk proposes a complete characterization of the complexity of best-arm identification in one-parameter bandit models. We first give a new, tight lower bound on the sample complexity, that is the total number of draws of the arms needed in order to identify the arm with
From playlist Schlumberger workshop - Computational and statistical trade-offs in learning
GTAC 2014: Fire Away Sooner And Faster With MSL!
Bryan Robbins (FINRA) and Daniel Koo (FINRA) Delivering software faster without compromising quality is not a trivial task. We all desire to move at speed by developing tests early and executing tests faster, with a minimal maintenance footprint. At FINRA, we developed MSL (pronounced "Mi
From playlist GTAC 2014
Guns and Rockets (feat. Smarter Every Day) - Objectivity 80
Rocket and ballistics expert Destin Sandlin (from Smarter Every Day) joins Keith at the Royal Society. What will they look at? More special guests on Objectivity: http://bit.ly/Objectivity_Guests Smarter Every Day: https://www.youtube.com/smartereveryday Destin is chatting with Keith Moor
From playlist Special Guests on Objectivity
What happens when you have a concussion? - Clifford Robbins
View full lesson: https://ed.ted.com/lessons/what-happens-when-you-have-a-concussion-clifford-robbins Each year in the United States, players of sports and recreational activities receive between 2.5 and 4 million concussions. How dangerous are all those concussions? The answer is complic
From playlist New TED-Ed Originals
Linear Algebra 6j: Linear Systems for the Impatient
https://bit.ly/PavelPatreon https://lem.ma/LA - Linear Algebra on Lemma http://bit.ly/ITCYTNew - Dr. Grinfeld's Tensor Calculus textbook https://lem.ma/prep - Complete SAT Math Prep
From playlist Part 1 Linear Algebra: An In-Depth Introduction with a Focus on Applications
How To Be Extremely Captivating To Those Around You
Get the 4 emotions you need to make a great first impression every time: http://bit.ly/2nRAxuA Body Language Tips - Tony Robbins Charisma Breakdown Tony Robbins is a master of body language. These body language tips will break down how he is able to communicate so effectively by using
From playlist Mastering Body Language