From playlist STAT 501
Standard Error of the Estimate used in Regression Analysis (Mean Square Error)
An example of how to calculate the standard error of the estimate (Mean Square Error) used in simple linear regression analysis. This typically taught in statistics. Like us on: http://www.facebook.com/PartyMoreStud... Link to Playlist on Regression Analysis http://www.youtube.com/cour
From playlist Linear Regression.
How to pick a machine learning model 3: Choosing a loss function
Part of the End-to-End Machine Learning School course library at http://e2eml.school See these concepts used in an End to End Machine Learning project: https://end-to-end-machine-learning.teachable.com/p/polynomial-regression-optimization/ Watch the rest of the How to Choose a Model serie
From playlist E2EML 171. How to Choose Model
What Are Error Intervals? GCSE Maths Revision
What are error Intervals and how do we find them - that's the mission in this episode of GCSE Maths minis! Error Intervals appear on both foundation and higher tier GCSE maths and IGCSE maths exam papers, so this is excellent revision for everyone! DOWNLOAD THE QUESTIONS HERE: https://d
From playlist Error Intervals & Bounds GCSE Maths Revision
Rafael Greenblatt - 2/2 The Scaling Limit of Non-solvable 2D Ising Models via Fermionic RG
The scaling limit of any 2D Ising model with ferromagnetic short range interactions at the critical point is expected to be a Conformal Field Theory with c=1/2, one instance of which is the theory of free Majorana fermions. This expectation comes with extremely detailed predictions on crit
From playlist 100…(102!) Years of the Ising Model
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
Linear regression (6): Regularization
Lp regularization penalties; comparing L2 vs L1
From playlist cs273a
Excel 2013 Statistical Analysis #67: Hypothesis Testing for Population Differences Sigma NOT Known
Download files: https://people.highline.edu/mgirvin/AllClasses/210Excel2013/Ch10/Ch10.htm Topics in this video: 1. (00:12) Into to Hypothesis Testing for Population Differences Sigma NOT Known 2. (02:20) Excel Example for Hypothesis Testing for Population Differences Sigma NOT Known for fo
From playlist Excel for Statistical Analysis in Business & Economics Free Course at YouTube (75 Videos)
Least squares method for simple linear regression
In this video I show you how to derive the equations for the coefficients of the simple linear regression line. The least squares method for the simple linear regression line, requires the calculation of the intercept and the slope, commonly written as beta-sub-zero and beta-sub-one. Deriv
From playlist Machine learning
Bridging between mean-field and real glasses (Lecture 3) by Patrick Charbonneau
Program Entropy, Information and Order in Soft Matter ORGANIZERS: Bulbul Chakraborty, Pinaki Chaudhuri, Chandan Dasgupta, Marjolein Dijkstra, Smarajit Karmakar, Vijaykumar Krishnamurthy, Jorge Kurchan, Madan Rao, Srikanth Sastry and Francesco Sciortino DATE: 27 August 2018 to 02 November
From playlist Entropy, Information and Order in Soft Matter
Today, after a review of the math behind naive bayes, we'll do a deep dive into embeddings - both as used for categorical variables in tabular data, and as used for words in NLP.
From playlist Introduction to Machine Learning for Coders
A PDE approach to scaling limit of random interface models on Z^d by Rajat Subhra Hazra
PROGRAM :UNIVERSALITY IN RANDOM STRUCTURES: INTERFACES, MATRICES, SANDPILES ORGANIZERS :Arvind Ayyer, Riddhipratim Basu and Manjunath Krishnapur DATE & TIME :14 January 2019 to 08 February 2019 VENUE :Madhava Lecture Hall, ICTS, Bangalore The primary focus of this program will be on the
From playlist Universality in random structures: Interfaces, Matrices, Sandpiles - 2019
RubyConf 2018 - The Dangers of Tribal Knowledge by Annie Sexton
RubyConf 2018 - The Dangers of Tribal Knowledge by Annie Sexton Are you constantly tapped on the shoulder for answers? Tired of being the Google for your team? Or perhaps you’re the new kid, having to ask a dozen different people to find answers to all your questions? These are the conseq
From playlist RubyConf 2018
An Introduction to Tensor Renormalization Group by Daisuke Kadoh
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
Thermalization in Hydrodynamical Systems by M.E. Brachet
Program Turbulence: Problems at the Interface of Mathematics and Physics (ONLINE) ORGANIZERS: Uriel Frisch (Observatoire de la Côte d'Azur and CNRS, France), Konstantin Khanin (University of Toronto, Canada) and Rahul Pandit (Indian Institute of Science, Bengaluru) DATE: 07 December 202
From playlist Turbulence: Problems at The Interface of Mathematics and Physics (Online)
On the notion of λ-connection - Carlos Simpson
Geometry and Arithmetic: 61st Birthday of Pierre Deligne Carlos Simpson University of Nice October 18, 2005 Pierre Deligne, Professor Emeritus, School of Mathematics. On the occasion of the sixty-first birthday of Pierre Deligne, the School of Mathematics will be hosting a four-day confe
From playlist Pierre Deligne 61st Birthday
Find the probability of an event using a normal distribution curve
👉 Learn how to find probability from a normal distribution curve. A set of data are said to be normally distributed if the set of data is symmetrical about the mean. The shape of a normal distribution curve is bell-shaped. The normal distribution curve is such that the mean is at the cente
From playlist Statistics
The Galerkin-truncated Burgers equation: crossover from inviscid-thermalized... by Marc E. Brachet
PROGRAM TURBULENCE: PROBLEMS AT THE INTERFACE OF MATHEMATICS AND PHYSICS ORGANIZERS Uriel Frisch (Observatoire de la Côte d'Azur and CNRS, France), Konstantin Khanin (University of Toronto, Canada) and Rahul Pandit (IISc, India) DATE & TIME 16 January 2023 to 27 January 2023 VENUE Ramanuj
From playlist Turbulence: Problems at the Interface of Mathematics and Physics 2023