This video shows how to find the range for a given set of data. Remember to take the maximum value and subtract the minimum value. For more videos visit http://www.mysecretmathtutor.com
From playlist Statistics
"Quartiles from listed data."
From playlist Data Handling: Averages & Range
Calculus: Absolute Maximum and Minimum Values
In this video, we discuss how to find the absolute maximum and minimum values of a function on a closed interval.
From playlist Calculus
#16. Find the Relative Minimum from the Graph
#16. Find the Relative Minimum from the Graph
From playlist College Algebra Final Exam Playlist (Version 2)
Maximum and Minimum Values (Closed interval method)
A review of techniques for finding local and absolute extremes, including an application of the closed interval method
From playlist 241Fall13Ex3
Master how to identify the absolute/relative local maximum and minimum points of a graph
Subscribe! http://www.freemathvideos.com Want more math video lessons? Visit my website to view all of my math videos organized by course, chapter and section. The purpose of posting my free video tutorials is to not only help students but allow teachers the resources to flip their classro
From playlist Functions #Master
Pre-Calculus - Identify the local maximum and minimum of a function
This video shows how to find the local maximum and minimum points when looking at the graph of a function. Remember that these are the maximum and minimum on some interval of the entire function. More specific techniques are covered for other functions like quadratics in later videos. F
From playlist Pre-Calculus
6. Maximum Likelihood Estimation (cont.) and the Method of Moments
MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet continued on maximum likelihood estimators and talked about Weierstrass Approximation Theorem (WAT), and statistical appli
From playlist MIT 18.650 Statistics for Applications, Fall 2016
Measuring Variation: Range and Standard Deviation
This lesson explains how to determine the range and standard deviation for a set of data. Site: http://mathispower4u.com
From playlist Statistics: Describing Data
24. Generalized Linear Models (cont.)
MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet talked about Hessian, Fisher information, weighted least squares, and iteratively reweighed least squares. License: Creat
From playlist MIT 18.650 Statistics for Applications, Fall 2016
On support localisation, the Fisher metric and optimal sampling .. - Poon - Workshop 1 - CEB T1 2019
Poon (University of Bath/Cambridge) / 06.02.2019 On support localisation, the Fisher metric and optimal sampling in off-the-grid sparse regularisation Sparse regularization is a central technique for both machine learning and imaging sciences. Existing performance guarantees assume a se
From playlist 2019 - T1 - The Mathematics of Imaging
23. Generalized Linear Models (cont.)
MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet talked about strict concavity, optimization methods, quadratic approximation, Newton-Raphson method, and Fisher-scoring me
From playlist MIT 18.650 Statistics for Applications, Fall 2016
What If Our Understanding of Gravity Is Wrong?
Thank you to CuriosityStream for supporting PBS. For more information go to https://curiositystream.thld.co/PBSSPACETIME Check Out @PBSVitals here: https://youtu.be/FOL0Hs8UcNs What if there is no such thing as dark matter? What if our understanding of gravity is just wrong? New work is
From playlist Dark Matter Explained!
Measuring Discrete Symmetry Extended
For the latest information, please visit: http://www.wolfram.com Speaker: Dennis Collins This talk extends the 2013 Wolfram Technology Conference talk, Measuring Discrete Symmetry, from 5 to 16 or more points, comparing it to the work The Reflexive Universe (1976, Delacorte Press), by Ar
From playlist Wolfram Technology Conference 2014
Introduction to Spatial Population Genetics (Lecture 1) by David Nelson
PROGRAM FIFTH BANGALORE SCHOOL ON POPULATION GENETICS AND EVOLUTION (ONLINE) ORGANIZERS: Deepa Agashe (NCBS, India) and Kavita Jain (JNCASR, India) DATE: 17 January 2022 to 28 January 2022 VENUE: Online No living organism escapes evolutionary change, and evolutionary biology thus conn
From playlist Fifth Bangalore School on Population Genetics and Evolution (ONLINE) 2022
QRM L3-2: Basic concepts of EVT
Welcome to Quantitative Risk Management (QRM). So, once we have defined extremes, how can we model them? We will see that for extremes the CLT does not work, and that we need something else. Concepts and tools like max stability and the Poisson approximation will be discussed. We are prep
From playlist Quantitative Risk Management
DeepMind x UCL | Deep Learning Lectures | 5/12 | Optimization for Machine Learning
Optimization methods are the engines underlying neural networks that enable them to learn from data. In this lecture, DeepMind Research Scientist James Martens covers the fundamentals of gradient-based optimization methods, and their application to training neural networks. Major topics in
From playlist Learning resources
Calculus: Maximum-Minimum Problems With Two Variables
This video discusses how to find maximum and minimum values of a function of two variables using the second derivative test ("D-test").
From playlist Calculus
Ionel Popescu: Free functional inequalities on the circle
The lecture was held within the framework of the Hausdorff Trimester Program: Optimal Transportation and the Workshop: Winter School & Workshop: New developments in Optimal Transport, Geometry and Analysis
From playlist HIM Lectures 2015