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EEA 2021 - Linear Regression

Lecture for linear regression and non-parametric equivalent.

From  Kyle Dexter on March 4th, 2021 0 likes 38 plays 0  

Partial Differential Equations, Lecture 7a: Numerical solution of hyperbolic PDEs.

A lecture introducing numerical methods for hyperbolic PDEs

From  David Ingram on February 8th, 2021 0 likes 16 plays 0  

dapr1 - lab test instructions

Instructions for lab tests

From  Umberto Noe on February 8th, 2021 0 likes 322 plays 0  

13.b

The second video on the first Inf2d lecture on Resolution.

From  Claudia-Elena Chirita on February 8th, 2021 0 likes 154 plays 0  

12.a

The first video of the Inf2d lecture on Inference in First-Order Logic.

From  Claudia-Elena Chirita on February 3rd, 2021 0 likes 167 plays 0  

FDS-S2-02-2-5 Maximum likelihood estimation of logistic regression coefficients

We introduce the principle of maximum likelihood, and show how to derive the likelihood as a function of the coefficients for logistic regression. We also mention one topical application of logistic…

From  David Sterratt on January 20th, 2021 0 likes 125 plays 0  

FDS-S2-02-2-1 Principle of logistic regression

We introduce the principle of logisitc regression, illustrating its application to a credit approval dataset. We also introduce the concepts of odds and odds ratios.

From  David Sterratt on January 19th, 2021 0 likes 184 plays 0  

Intro to gather.town

Drop-ins in gather.town

From  Umberto Noe on January 6th, 2021 0 likes 142 plays 0  

REF2020: Yossathorn Tawabutr- Helicity at Small x: Oscillations and LLA Corrections

REF2020: Yossathorn Tawabutr- Helicity at Small x: Oscillations and LLA Corrections

From  Lyndsey Ballantyne on December 18th, 2020 0 likes 0 plays 0  

REF2020: Daniel Adamiak- Small-x Helicity Phenomenology

REF2020: Daniel Adamiak- Small-x Helicity Phenomenology

From  Lyndsey Ballantyne on December 18th, 2020 0 likes 0 plays 0  

REF2020: Yuri - Quark and gluon helicity distributions and OAM at small x

REF2020: Yuri - Quark and gluon helicity distributions and OAM at small x

From  Lyndsey Ballantyne on December 11th, 2020 0 likes 3 plays 0  

Francesco Giglio (University of Glasgow) Title:The KdV equation as an example of integrable PDE.

LMS Introduction to Integrability Lecture SeriesThis is a lecture course of 5 lectures which gives samples of main types of integrable systems together with techniques for dealing with them.…

From  OLLIE Quinn on November 19th, 2020 0 likes 38 plays 0  

ML3: Dimensionality Reduction using Principal Component Analysis

In this video, we will learn that we can use Principal Component Analysis (PCA) to find a transformation matrix that minimises reconstruction error for dimensionality reduction. We also show how this…

From  Elliot Crowley on November 5th, 2020 0 likes 16 plays 0  

ML2: Dimensionality Reduction

In this second video, we motivate why it is useful to reduce the dimensionality of your data, and describe how this can be done linearly, using a transformation matrix. We describe a setup whereby we…

From  Elliot Crowley on November 5th, 2020 0 likes 13 plays 0  

CL - 7b - Quantifiers And Lambda

In this video we briefly mention more examples of sections, and then introduce λ-functions, which we use to help us interpretat statements such as, "Somebody loves Everybody".

From  Haoran Peng on October 30th, 2020 0 likes 473 plays 0  

CL - 7a - Mary Loves Everybody

In this video we introduce the interpretation of statements such as, "Mary loves Everybody". We use sections in Haskell to help us do this.

From  Haoran Peng on October 30th, 2020 0 likes 475 plays 0