Giles Hooker - Ensembles of Trees and CLT's: Inference and Machine Learning
Professor Giles Hooker (Australian National University) presents "Ensembles of Trees and CLT's: Inference and Machine Learning", 14 May 2020. This seminar was organised by the Australian National University.
From playlist Statistics Across Campuses
Assumption-free prediction intervals for black-box regression algorithms - Aaditya Ramdas
Seminar on Theoretical Machine Learning Topic: Assumption-free prediction intervals for black-box regression algorithms Speaker: Aaditya Ramdas Affiliation: Carnegie Mellon University Date: April 21, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
LSS Hands-on (Lecture 3) by Shadab Alam
Program Cosmology - The Next Decade ORGANIZERS : Rishi Khatri, Subha Majumdar and Aseem Paranjape DATE : 03 January 2019 to 25 January 2019 VENUE : Ramanujan Lecture Hall, ICTS Bangalore The great observational progress in cosmology has revealed some very intriguing puzzles, the most i
From playlist Cosmology - The Next Decade
How to find the number of standard deviations that it takes to represent all the data
👉 Learn how to find the variance and standard deviation of a set of data. The variance of a set of data is a measure of spread/variation which measures how far a set of numbers is spread out from their average value. The standard deviation of a set of data is a measure of spread/variation
From playlist Variance and Standard Deviation
Maxwell Hutchinson: "Boltzmann Trees: a physically inspired randomization for robust modeling of..."
Machine Learning for Physics and the Physics of Learning 2019 Workshop IV: Using Physical Insights for Machine Learning "Boltzmann Trees: a physically inspired randomization for robust modeling of physical data" Maxwell Hutchinson - Citrine Informatics, Scientific Software Engineering
From playlist Machine Learning for Physics and the Physics of Learning 2019
How to find the variance and standard deviation from a set of data
👉 Learn how to find the variance and standard deviation of a set of data. The variance of a set of data is a measure of spread/variation which measures how far a set of numbers is spread out from their average value. The standard deviation of a set of data is a measure of spread/variation
From playlist Variance and Standard Deviation
Variance (4 of 4: Proof of two formulas)
More resources available at www.misterwootube.com
From playlist Random Variables
How to Find Standard Deviation and Variance (Sample and Population) | Statistics
We go over how to calculate standard deviation and how to find variance by hand for samples and for populations. We'll do two examples. It requires finding the mean, finding differences, squaring differences from the mean, adding, diving by n, that's about it. #statistics #apstats Statis
From playlist Statistics
Matthias Rupp: "How to assess scientific machine learning models? Prediction errors and predicti..."
Machine Learning for Physics and the Physics of Learning 2019 Workshop IV: Using Physical Insights for Machine Learning "How to assess scientific machine learning models? Prediction errors and predictive uncertainty quantification" Matthias Rupp - Citrine Informatics & Fritz-Haber-Insti
From playlist Machine Learning for Physics and the Physics of Learning 2019
Exact test, Empirical distribution, Bootstrapping
0:00 Introduction 1:59 Exact Methods 5:45 EXAMPLE: Exact Binomial distribution 11:42 Empirical distribution 14:01 Bootstrapping
From playlist Statistical Inference (7 videos)
Covariance (3 of 17) Population vs Sample Variance
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the difference and calculate the variance of a population and the variance of a sample of a population. Next video in
From playlist COVARIANCE AND VARIANCE
Learning how to find the variance and standard deviation from a set of data
👉 Learn how to find the variance and standard deviation of a set of data. The variance of a set of data is a measure of spread/variation which measures how far a set of numbers is spread out from their average value. The standard deviation of a set of data is a measure of spread/variation
From playlist Variance and Standard Deviation
Detection of B-mode Polarization at Degree Scales Using BICEP2 - J. Bock - March 20, 2014
Jamie Bock, Professor of Physics at Caltech and Senior Research Scientist at the Jet Propulsion Laboratory, presents results from the BICEP2 team on the first direct evidence of inflation and primordial gravitational waves. The team measured a B-mode polarization signal in the cosmic micr
From playlist Research & Science
10 Machine Learning: Ridge Regression
Lecture on ridge regression with a focus on variance and bias trade-off and hyper parameter tuning. Follow along with the demonstration workflow in Python's scikit-learn package: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/SubsurfaceDataAnalytics_RidgeRegression.ipynb
From playlist Machine Learning
Variance of the Bernoulli Distribution | Probability Theory
How do we derive the variance of a Bernoulli random variable? That's what we'll go over in today's probability theory lesson! We'll prove the variance of a Bernoulli random variable with probability of success p is equal to p*(1-p). Remember the variance of a discrete random variable is eq
From playlist Probability Theory
Variance on a Modified Distribution (1 of 2: Worked example)
More resources available at www.misterwootube.com
From playlist Random Variables
Machine Learning for HEP by Tommaso Dorigo
Discussion Meeting : Hunting SUSY @ HL-LHC (ONLINE) ORGANIZERS : Satyaki Bhattacharya (SINP, India), Rohini Godbole (IISc, India), Kajari Majumdar (TIFR, India), Prolay Mal (NISER-Bhubaneswar, India), Seema Sharma (IISER-Pune, India), Ritesh K. Singh (IISER-Kolkata, India) and Sanjay Kuma
From playlist HUNTING SUSY @ HL-LHC (ONLINE) 2021
20 Data Analytics: Decision Tree
Lecture on decision tree-based machine learning with workflows in R and Python and linkages to bagging, boosting and random forest.
From playlist Data Analytics and Geostatistics
Calculate A Sample Size of A proportion
How to calculate a sample size for a proportion (percentage). Includes discussion on how sample changes as proportions (percentages) change. Calculating Sample Size https://youtu.be/i47gaNmEUM0 Calculating z scores https://www.youtube.com/playlist?list=PL6157D8E20C151497 Facebook http
From playlist Sample Size