(ML 11.4) Choosing a decision rule - Bayesian and frequentist
Choosing a decision rule, from Bayesian and frequentist perspectives. To make the problem well-defined from the frequentist perspective, some additional guiding principle is introduced such as unbiasedness, minimax, or invariance.
From playlist Machine Learning
Introduction to Discrete and Continuous Functions
This video defines and provides examples of discrete and continuous functions.
From playlist Introduction to Functions: Function Basics
Closed loop discrete controller Lecture 2019-04-08
Evaluating the response of a continuous system controlled by a discrete controller using several methods
From playlist Discrete
Discrete-Time Dynamical Systems
This video shows how discrete-time dynamical systems may be induced from continuous-time systems. https://www.eigensteve.com/
From playlist Data-Driven Dynamical Systems
Causal Behavioral Modeling Framework - Discrete Choice Modeling of Consumer Demand
There are increasing demands for "causal ML models" of the agent behaviors, which enable us to unbox the complex black-box models and make inferences or do proper counterfactual simulations. Many applications (especially in Marketing) intrinsically call for measurement of the causal impact
From playlist Fundamentals of Machine Learning
Discrete versus Continuous Random Variables
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Discrete versus Continuous Random Variables
From playlist Statistics
11_3_6 Continuity and Differentiablility
Prerequisites for continuity. What criteria need to be fulfilled to call a multivariable function continuous.
From playlist Advanced Calculus / Multivariable Calculus
Robert Lipton: Nonlocal theories for free crack propagation in brittle materials (Lecture 3)
The dynamic fracture of brittle solids is a particularly interesting collective interaction connecting both large and small length scales. Apply enough stress or strain to a sample of brittle material and one eventually snaps bonds at the atomistic scale leading to fracture of the macrosco
From playlist HIM Lectures: Trimester Program "Multiscale Problems"
Live CEOing Ep 459: Language Design in Wolfram Language [Game Theory]
In this episode of Live CEOing, Stephen Wolfram discusses upcoming improvements and functionality to the Wolfram Language. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or through the official Twitch channel of Stephen Wo
From playlist Behind the Scenes in Real-Life Software Design
Max Fathi: Ricci curvature and functional inequalities for interacting particle systems
I will present a few results on entropic Ricci curvature bounds, with applications to interacting particle systems. The notion was introduced by M. Erbar and J. Maas and independently by A. Mielke. These curvature bounds can be used to prove functional inequalities, such as spectral gap bo
From playlist HIM Lectures: Follow-up Workshop to JTP "Optimal Transportation"
Rafael Gómez-Bombarelli: "Coarse graining autoencoders and evolutionary learning of atomistic..."
Machine Learning for Physics and the Physics of Learning 2019 Workshop I: From Passive to Active: Generative and Reinforcement Learning with Physics "Coarse graining autoencoders and evolutionary learning of atomistic potentials" Rafael Gomez-Bombarelli, Massachusetts Institute of Technol
From playlist Machine Learning for Physics and the Physics of Learning 2019
Alexander Veselov: Growth and geometry in SL_2(ℤ) dynamics
Abstract: Usual discrete dynamics can be considered as the action of the group of integers. What happens if we replace ℤ by SL_2(ℤ)? There is a classical example of such dynamics goes back to remarkable work by Andrei A. Markov (1880), who described the solutions of the Diophantine equatio
From playlist Dynamical Systems and Ordinary Differential Equations
Charlotte Hardouin: Galois theory and walks in the quarter plane
Abstract: In the recent years, the nature of the generating series of walks in the quarter plane has attracted the attention of many authors in combinatorics and probability. The main questions are: are they algebraic, holonomic (solutions of linear differential equations) or at least hype
From playlist Combinatorics
Understanding Discrete Event Simulation, Part 2: Why Use Discrete Event Simulation
Watch more MATLAB Tech Talks: https://goo.gl/ktpVB7 Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: https://goo.gl/RjJAkE Learn how discrete-event simulation can help you solve problems related to scheduling, resource allocation, and capacity pl
From playlist Understanding Discrete-Event Simulation - MATLAB Tech Talks
Wolfram Physics I: Basic Formalism, Causal Invariance and Special Relativity
Find more information about the summer school here: https://education.wolfram.com/summer/school Stay up-to-date on this project by visiting our website: http://wolfr.am/physics Check out the announcement post: http://wolfr.am/physics-announcement Find the tools to build a universe: https:
From playlist Wolfram Summer Programs
David Kelly: Fast slow systems with chaotic noise
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Probability and Statistics
Cumulative Distribution Function (1 of 3: Definition)
More resources available at www.misterwootube.com
From playlist Random Variables