(ML 13.3) Directed graphical models - formalism (part 1)
Definition of a directed graphical model, or more precisely, what it means for a distribution to respect a directed acyclic graph.
From playlist Machine Learning
Associative Binary Operations and Examples Video
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Associative Binary Operations and Examples Video. This is video 2 on Binary Operations.
From playlist Abstract Algebra
(ML 7.7) Dirichlet-Categorical model (part 1)
The Dirichlet distribution is a conjugate prior for the Categorical distribution (i.e. a PMF a finite set). We derive the posterior distribution and the (posterior) predictive distribution under this model.
From playlist Machine Learning
(ML 7.1) Bayesian inference - A simple example
Illustration of the main idea of Bayesian inference, in the simple case of a univariate Gaussian with a Gaussian prior on the mean (and known variances).
From playlist Machine Learning
This shows an small game that illustrates the concept of a vector. The clip is from the book "Immersive Linear Algebra" at http://www.immersivemath.com
From playlist Chapter 2 - Vectors
Walking Robot Mechanism 3D Model
A simple walking machine, used to teach kinematics. It uses 4-bars mechanisms to create the movements. Free 3D model at https://skfb.ly/onQMo.
From playlist Walking Machines
(ML 13.4) Directed graphical models - formalism (part 2)
Definition of a directed graphical model, or more precisely, what it means for a distribution to respect a directed acyclic graph.
From playlist Machine Learning
Tom Leinster : The categorical origins of entropy
Recording during the thematic meeting : "Geometrical and Topological Structures of Information" the August 29, 2017 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent
From playlist Geometry
A Question Of Balance Wooden Toy 3D Model
Modeled and rendered with Solidworks.
From playlist Marble Machines
A New Framework for Modeling Brain Information Processing - Nikolaus Kriegeskorte
Nikolaus Kriegeskorte, Programme Leader at the Medical Research Council's Cognition and Brain Sciences Unit in Cambridge, UK, describes a framework for testing such massively multivariate brain-activity data.
From playlist Wu Tsai Neurosciences Institute
Lecture 2: The Curry-Howard correspondence
This talk gives an elementary introduction to some central ideas in the theory of computation, including lambda calculus and its relation to category theory. The aim was to get to the statement of the Curry-Howard correspondence, but we ran out of time; at some point there will be another
From playlist Topos theory seminar
(ML 7.8) Dirichlet-Categorical model (part 2)
The Dirichlet distribution is a conjugate prior for the Categorical distribution (i.e. a PMF a finite set). We derive the posterior distribution and the (posterior) predictive distribution under this model.
From playlist Machine Learning
R & Python - Conditional Inference Trees
Lecturer: Dr. Erin M. Buchanan Summer 2020 https://www.patreon.com/statisticsofdoom This video is part of my human language modeling class - this video set covers the updated version with both R and Python. This video explores the use of conditional inference trees and random forests to
From playlist Human Language (ANLY 540)
Deep Learning Tutorial | Deep Learning Tutorial For Beginners | What Is Deep Learning? | Simplilearn
🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=DeepLearningTutorialForBeginnersandWhatisDL-Cq_P8kJgjvI&utm_medium=Descriptionff&utm_source=youtube 🔥Professional Certificate Program In AI And M
From playlist Deep Learning Tutorial Videos 🔥[2022 Updated] | Simplilearn
Victor Ostrik: Incompressible symmetric tensor categories
SMRI Algebra and Geometry Online ‘Incompressible symmetric tensor categories’ Victor Ostrik (University of Oregon) Abstract: This talk is based on joint work with Benson and Etingof. We say that a symmetric tensor category is incompressible if there is no symmetric tensor functor from thi
From playlist SMRI Algebra and Geometry Online
NB: Please go to http://course.fast.ai to view this video since there is important updated information there. If you have questions, use the forums at http://forums.fast.ai We complete our work from the previous lesson on tabular/structured, time-series data, and learn about how to avoid
From playlist Deep Learning v2
R & Python - Logistic Regression
Lecturer: Dr. Erin M. Buchanan Summer 2020 https://www.patreon.com/statisticsofdoom This video is part of my human language modeling class - this video set covers the updated version with both R and Python. Next in our series is logistic regression - treated more as a statistical techni
From playlist Human Language (ANLY 540)
François Yvon: Machine learning in natural language processing
CONFERENCE Recorded during the meeting "Theoretical Computer Science Spring School: Machine Learning" the May 24, 2022 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathemat
From playlist Mathematical Aspects of Computer Science
23 Algebraic system isomorphism
Isomorphic algebraic systems are systems in which there is a mapping from one to the other that is a one-to-one correspondence, with all relations and operations preserved in the correspondence.
From playlist Abstract algebra