Mixture Models 4: multivariate Gaussians
Full lecture: http://bit.ly/EM-alg We generalise the equations for the case of a multivariate Gaussians. The main difference from the previous video (part 2) is that instead of a scalar variance we now estimate a covariance matrix, using the same posteriors as before.
From playlist Mixture Models
(ML 16.7) EM for the Gaussian mixture model (part 1)
Applying EM (Expectation-Maximization) to estimate the parameters of a Gaussian mixture model. Here we use the alternate formulation presented for (unconstrained) exponential families.
From playlist Machine Learning
Subtracting two mixed numbers - Math Practice - Tutoring Online
👉 Learn how to add and subtract mixed numbers. Mixed numbers are numbers with two parts: the whole number part and the fraction part. Mixed numbers are ways to represent improper fractions using proper fractions. To add or subtract mixed numbers, we first convert the mixed numbers to impr
From playlist Add and Subtract Mixed Numbers
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
B27 Introduction to linear models
Now that we finally now some techniques to solve simple differential equations, let's apply them to some real-world problems.
From playlist Differential Equations
Multiplying Mixed Numbers and Fractions
This math video tutorial explains how to multiply mixed numbers and fractions. Subscribe: https://www.youtube.com/channel/UCEWpbFLzoYGPfuWUMFPSaoA?sub_confirmation=1 Adding Mixed Numbers: https://www.youtube.com/watch?v=EvYgX0wz0xY Subtracting Mixed Numbers: https://www.youtube.com/watc
From playlist Fractions and Mixed Numbers
(ML 16.6) Gaussian mixture model (Mixture of Gaussians)
Introduction to the mixture of Gaussians, a.k.a. Gaussian mixture model (GMM). This is often used for density estimation and clustering.
From playlist Machine Learning
Mixture Models 3: multivariate Gaussians
Full lecture: http://bit.ly/EM-alg We generalise the equations for the case of a multivariate Gaussians. The main difference from the previous video (part 2) is that instead of a scalar variance we now estimate a covariance matrix, using the same posteriors as before.
From playlist Mixture Models
One Dimensional Mixed Layer Models of the Ocean by Leah Johnson
DISCUSSION MEETING: AIR-SEA INTERACTIONS IN THE BAY OF BENGAL FROM MONSOONS TO MIXING ORGANIZERS : Eric D'Asaro, Rama Govindarajan, Manikandan Mathur, Debasis Sengupta, Emily Shroyer, Jai Sukhatme and Amit Tandon DATE & TIME : 18 February 2019 to 23 February 2019 VENUE : Ramanujan Lecture
From playlist Air-sea Interactions in The Bay of Bengal From Monsoons to Mixing 2019
Are we using the correct boundary layer parameterizations in the bay of bengal by Leah Johnson
DISCUSSION MEETING AIR-SEA INTERACTIONS IN THE BAY OF BENGAL FROM MONSOONS TO MIXING ORGANIZERS: Eric D'Asaro, Rama Govindarajan, Manikandan Mathur, Debasis Sengupta, Emily Shroyer, Jai Sukhatme and Amit Tandon DATE: 18 February 2019 to 23 February 2019 VENUE: Ramanujan Lecture Hall, I
From playlist Air-sea Interactions in The Bay of Bengal From Monsoons to Mixing 2019
Mod-01 Lec-27 Residence Time Distribution Models
Advanced Chemical Reaction Engineering (PG) by Prof. H.S.Shankar,Department of Chemical Engineering,IIT Bombay.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Bombay: Advanced Chemical Reaction Engineering | CosmoLearning.org
Pilar Hernandez & Stefania Bordoni: Neutrinos Lecture 4/4 ⎮ CERN
Neutrinos remain enigmatic and elusive particles. They are invaluable astronomical and terrestrial messengers that have provided the first hints of physics beyond the standard model. Despite being the second most abundant particles in the universe, we still know little about them and futur
From playlist CERN Academic Lectures
Theodore Vo: Canards, Cardiac Cycles, and Chimeras
Abstract: Canards are solutions of singularly perturbed ODEs that organise the dynamics in phase and parameter space. In this talk, we explore two aspects of canard theory: their applications in the life sciences and their ability to generate new phenomena. More specifically, we will use
From playlist SMRI Seminars
Air-Sea coupling feedbacks for MISO by Eric D'Asaro
DISCUSSION MEETING AIR-SEA INTERACTIONS IN THE BAY OF BENGAL FROM MONSOONS TO MIXING ORGANIZERS: Eric D'Asaro, Rama Govindarajan, Manikandan Mathur, Debasis Sengupta, Emily Shroyer, Jai Sukhatme and Amit Tandon DATE: 18 February 2019 to 23 February 2019 VENUE: Ramanujan Lecture Hall, I
From playlist Air-sea Interactions in The Bay of Bengal From Monsoons to Mixing 2019
Late-summer mixed layer variability in the northern bay of bengal by Jennifer MacKinnon final
DISCUSSION MEETING AIR-SEA INTERACTIONS IN THE BAY OF BENGAL FROM MONSOONS TO MIXING ORGANIZERS: Eric D'Asaro, Rama Govindarajan, Manikandan Mathur, Debasis Sengupta, Emily Shroyer, Jai Sukhatme and Amit Tandon DATE: 18 February 2019 to 23 February 2019 VENUE: Ramanujan Lecture Hall, I
From playlist Air-sea Interactions in The Bay of Bengal From Monsoons to Mixing 2019
David Heckerman, Microsoft - Stanford Big Data 2015
Bringing together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease. Visit our website at http://bigdata.stanford.edu/.
From playlist Big Data in Biomedicine Conference 2015
Megan Davies Wykes: "Mixing by plumes in boxes"
Transport and Mixing in Complex and Turbulent Flows 2021 "Mixing by plumes in boxes" Megan Davies Wykes - University of Cambridge Abstract: In this talk I'll describe the mixing induced by plumes in boxes, using the simple example of the filling box and the emptying-filling box to demons
From playlist Transport and Mixing in Complex and Turbulent Flows 2021
An introduction to modelling with higher order differential equations.
From playlist Differential Equations
Instance-Hiding Schemes for Private Distributed Learning -Sanjeev Arora
Seminar on Theoretical Machine Learning Topic: Instance-Hiding Schemes for Private Distributed Learning Speaker: Sanjeev Arora Affiliation: Princeton University; Distinguishing Visiting Professor, School of Mathematics Date: June 25, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics