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
Introduces notation and formulas for exponential growth models, with solutions to guided problems.
From playlist Discrete Math
(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
Linear regression ANOVA ANCOVA Logistic Regression
In this video tutorial you will learn about the fundamentals of linear modeling: linear regression, analysis of variance, analysis of covariance, and logistic regression. I work through the results of these tests on the white board, so no code and no complicated equations. Linear regressi
From playlist Statistics
Ex: Comparing Linear and Exponential Regression
This video provides an example on how to perform linear regression and exponential regression on the TI84. The best model is identified based up the value of R^2. Site: http://mathispower4u.com Blog: http://mathispower4u.wordpress.com
From playlist Solving Applications Using Exponential Equations / Compounded and Continuous Interest / Exponential Regression
An Introduction to Linear Regression Analysis
Tutorial introducing the idea of linear regression analysis and the least square method. Typically used in a statistics class. Playlist on Linear Regression http://www.youtube.com/course?list=ECF596A4043DBEAE9C Like us on: http://www.facebook.com/PartyMoreStudyLess Created by David Lon
From playlist Linear Regression.
Linear Regression using Python
This seminar series looks at four important linear models (linear regression, analysis of variance, analysis of covariance, and logistic regression). A video that explains all four model types is at https://www.youtube.com/watch?v=SV9AxXFWZnM&t=12s This video is on linear regression usin
From playlist Statistics
Statistical Learning: 7.4 Generalized Additive Models and Local Regression
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Alison Etheridge & Nick Barton: Applying the infinitesimal model
The infinitesimal model is based on the assumption that, conditional on the pedigree, the joint distribution of trait values is multivariate normal, then, selecting parents does not alter the variance amongst offspring. We explain how the infinitesimal model extends to include dominance as
From playlist Probability and Statistics
Compare Linear and Exponential Functions
This video compares linear and exponential functions. http://mathispower4u.com
From playlist Introduction to Exponential Functions
Matrix Models, Gauge-Gravity Duality, and Simulations on the Lattice (Lecture 3) by Georg Bergner
PROGRAM NONPERTURBATIVE AND NUMERICAL APPROACHES TO QUANTUM GRAVITY, STRING THEORY AND HOLOGRAPHY (HYBRID) ORGANIZERS: David Berenstein (University of California, Santa Barbara, USA), Simon Catterall (Syracuse University, USA), Masanori Hanada (University of Surrey, UK), Anosh Joseph (II
From playlist NUMSTRING 2022
Data Science - Part X - Time Series Forecasting
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview of Time Series forecasting techniques and the process of creating effective for
From playlist Data Science
Andrew Ahn (Columbia) -- Airy edge fluctuations in random matrix sums
In this talk, we discuss a novel integrable probability approach to access edge fluctuations in sums of unitarily invariant Hermitian matrices. We focus on a particular regime where the number of summands is large (but fixed) under which the Airy point process appears. The approach is base
From playlist Columbia Probability Seminar
22. Structure of set addition II: groups of bounded exponent and modeling lemma
MIT 18.217 Graph Theory and Additive Combinatorics, Fall 2019 Instructor: Yufei Zhao View the complete course: https://ocw.mit.edu/18-217F19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62qauV_CpT1zKaGG_Vj5igX Prof. Zhao explains the Ruzsa covering lemma and uses it
From playlist MIT 18.217 Graph Theory and Additive Combinatorics, Fall 2019
GPT3: An Even Bigger Language Model - Computerphile
Basic mathematics from a language model? Rob Miles on GPT3, where it seems like size does matter! More from Rob Miles: http://bit.ly/Rob_Miles_YouTube https://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Compu
From playlist Computerphile Videos
Matrix Models, Gauge-Gravity Duality, and Simulations on the Lattice (Lecture 2) by Georg Bergner
NONPERTURBATIVE AND NUMERICAL APPROACHES TO QUANTUM GRAVITY, STRING THEORY AND HOLOGRAPHY (HYBRID) ORGANIZERS: David Berenstein (University of California, Santa Barbara, USA), Simon Catterall (Syracuse University, USA), Masanori Hanada (University of Surrey, UK), Anosh Joseph (IISER Mohal
From playlist NUMSTRING 2022
Introduction to quantitative genetics..... by Maria Orive
ORGANIZERS : Deepa Agashe and Kavita Jain DATE & TIME : 05 March 2018 to 17 March 2018 VENUE : Ramanujan Lecture Hall, ICTS Bangalore No living organism escapes evolutionary change. Evolutionary biology thus connects all biological disciplines. To understand the processes drivin
From playlist Third Bangalore School on Population Genetics and Evolution