Excel Statistical Analysis 10: Weighted Mean. Awesome Accounting Example!!
Download Excel File: https://excelisfun.net/files/Ch03-ESA.xlsm Learn about how to calculate the weighted mean, or weighted average, a calculation done often in business and accounting. Learn all about the SUMPRODUCT function. Topics: 1. (00:00) Introduction 2. (00:40) Weighted Mean Formul
From playlist Excel Statistical Analysis for Business Class Playlist of Videos from excelisfun
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
Excel 2013 Statistical Analysis #17: Weighted Mean & SUMPRODUCT Function & Accounting Example
Download files: https://people.highline.edu/mgirvin/AllClasses/210Excel2013/Ch03/Excel2013StatisticsChapter03.xlsm Topics in this video: 1. (00:14) Weighted Mean Quiz Score Example and Weighted Mean calculation using a Helper Column 2. (02:47) SUMPRODUCT and SUM function for single Cell Fo
From playlist Excel SUMPRODUCT Function Playlist of Videos
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
Excel Statistics 35: Weighted Mean & Geometric Mean
Download Excel Start File 1: https://people.highline.edu/mgirvin/AllClasses/210M/Content/ch03/Busn210ch03.xls Download Excel Finished File 1: https://people.highline.edu/mgirvin/AllClasses/210M/Content/ch03/Busn210ch03Finished.xls Download Excel Start File 2: https://people.highline.edu/mg
From playlist Excel 2007 Statistics: Charts, Functions, Formulas
An introduction to Regression Analysis
Regression Analysis, R squared, statistics class, GCSE Like us on: http://www.facebook.com/PartyMoreStudyLess Related Videos Playlist on Linear Regression http://www.youtube.com/playlist?list=PLF596A4043DBEAE9C Using SPSS for Multiple Linear Regression http://www.youtube.com/playlist?li
From playlist Linear Regression.
We propose a sparse regression method capable of discovering the governing partial differential equation(s) of a given system by time series measurements in the spatial domain. The regression framework relies on sparsity promoting techniques to select the nonlinear and partial derivative
From playlist Research Abstracts from Brunton Lab
Logistic Regression Details Pt1: Coefficients
When you do logistic regression you have to make sense of the coefficients. These are based on the log(odds) and log(odds ratio), but, to be honest, the easiest way to make sense of these are through examples. In this StatQuest, I walk you though two Logistic Regression Examples, step-by-s
From playlist StatQuest
AdaBoost (Adaptive Boosting) ensemble learning technique for classification
From playlist cs273a
Dimers and circle patterns by Sanjay Ramassamy
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
Deep Learning and Neural Net short course by Kevin Duh at the Nara Institute of Science and Technology (Jan 2014). Lecture 2: Deep Architectures. Archived course website: http://cs.jhu.edu/~kevinduh/a/deep2014/
From playlist Deep Learning & Neural Networks short course (Copy)
Lecture 9/16 : Ways to make neural networks generalize better
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] 9A Overview of ways to improve generalization 9B Limiting the size of the weights 9C Using noise as a regularizer 9D Introduction to the Bayesian Approach 9E The Bayesian interpretation of weight decay 9F MacKay's qui
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
12b Geostatistics Course: Kriging
Lecture on kriging for spatial estimation.
From playlist Data Analytics and Geostatistics
Python for Data Analysis: Linear Regression
This video covers the basics of linear regression and how to perform linear regression in Python. Subscribe: ► https://www.youtube.com/c/DataDaft?sub_confirmation=1 This is lesson 27 of a 30-part introduction to the Python programming language for data analysis and predictive modeling. L
From playlist Python for Data Analysis
David Haziza - Multiply robust imputation procedures for treatment of item nonresponse in surveys
Professor David Haziza (University of Ottawa) presents "Multiply robust imputation procedures for treatment of item nonresponse in surveys", 18 September 2020.
From playlist Statistics Across Campuses
RegressionANOVA.3.OnePredictorP3
This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources
From playlist Applied Data Analysis and Statistical Inference
How to Calculate R Squared Using Regression Analysis
An example on how to calculate R squared typically used in linear regression analysis and least square method. Like us on: http://www.facebook.com/PartyMoreStudyLess Link to Playlist on Linear Regression: http://www.youtube.com/course?list=ECF596A4043DBEAE9C Link to Playlist on SPSS M
From playlist Linear Regression.
Lecture 3/16 : The backpropagation learning procedure
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] 3A Learning the weights of a linear neuron 3B The error surface for a linear neuron 3C Learning the weights of a logistic output neuron 3D The backpropagation algorithm 3E How to use the derivatives computed by the ba
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]