Logistic distribution

The Normal Distribution (1 of 3: Introductory definition)

More resources available at www.misterwootube.com

From playlist The Normal Distribution

What is a Sampling Distribution?

Intro to sampling distributions. What is a sampling distribution? What is the mean of the sampling distribution of the mean? Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creat

From playlist Probability Distributions

Inverse normal with Z Table

Determining values of a variable at a particular percentile in a normal distribution

From playlist Unit 2: Normal Distributions

Ex: Determine the Value of a Number on a Logarithmic Scale (Log Form)

This video explains how to determine the value of several numbers on a logarithmic scale scaled in logarithmic form. http://mathispower4u.com

From playlist Using the Definition of a Logarithm

Logistic Growth Function and Differential Equations

This calculus video tutorial explains the concept behind the logistic growth model function which describes the limits of population growth. This shows you how to derive the general solution or logistic growth formula starting from a differential equation which describes the population gr

From playlist New Precalculus Video Playlist

What is a Unimodal Distribution?

Quick definition of a unimodal distribution and how it compares to a bimodal distribution and a multimodal distribution.

From playlist Probability Distributions

Statistics: Introduction to the Shape of a Distribution of a Variable

This video introduces some of the more common shapes of distributions http://mathispower4u.com

From playlist Statistics: Describing Data

Lect.3F: Log-Normal And Uniform Distributions

Lecture with Per B. Brockhoff. Chapters: 00:00 - The Log-Normal Distribution; 04:15 - Example 6; 07:00 - The Uniform Distribution; 08:00 - Example 7;

From playlist DTU: Introduction to Statistics | CosmoLearning.org

Using normal distribution to find the probability

👉 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

Logistic Regression - Is it Linear Regression?

Is it Linear? Why the sigmoid? Let's talk about it. Breaking Linear Regression video: https://www.youtube.com/watch?v=Bu1WCOQpBnM RESOURCES [1] Great Lecture notes to start understanding Logistic Regression: https://pages.stat.wisc.edu/~st849-1/lectures/GLMH.pdf [2] More slightly detaile

From playlist Logistic Regression

Gérard Letac: Quasi logistic distributions and Gaussian scale mixing

CIRM VIRTUAL EVENT Recorded during the meeting "Mathematical Methods of Modern Statistics 2" the June 02, 2020 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicia

From playlist Virtual Conference

Digging into Data: Supervised Classification with Logistic Regression and Naive Bayes

Our first lecture on classification, where we cover two linear methods.

From playlist Digging into Data

Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 17-erm for probabilistic classif.

Professor Sanjay Lall Electrical Engineering To follow along with the course schedule and syllabus, visit: http://ee104.stanford.edu To view all online courses and programs offered by Stanford, visit: https://online.stanford.edu/

From playlist Stanford EE104: Introduction to Machine Learning Full Course

Lecture 4 | Machine Learning (Stanford)

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on Newton's method, exponential families, and generalized linear models and how they relate to machine learning. This course provides a broad introduction to

From playlist Lecture Collection | Machine Learning

SpatAggr session 3 logistic regression

Logistic regression for spatial data

From playlist Spatial data aggregation

Machine learning - Logistic regression

Logistic regression: Optimization and Bayesian inference via Monte Carlo. Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html Course taught in 2013 at UBC by Nando de Freitas

From playlist Machine Learning 2013

Stanford CS229: Machine Learning | Summer 2019 | Lecture 6 - Exponential Family & GLM

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Eb7mIi Anand Avati Computer Science, PhD To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-summer2019.html

From playlist Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)

Stanford CS229: Machine Learning | Summer 2019 | Lecture 10 - Deep learning - I

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3E5G0U6 Anand Avati Computer Science, PhD To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-summer2019.html

From playlist Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)

Lecture 5 | Machine Learning (Stanford)

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on generative learning algorithms and Gaussian discriminative analysis and their applications in machine learning. This course provides a broad introduction

From playlist Lecture Collection | Machine Learning

Logistic Regression

Overview of logistic regression, a statistical classification technique.

From playlist Machine Learning