Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
From playlist Statistics (Full Length Videos)
The Normal Distribution (1 of 3: Introductory definition)
More resources available at www.misterwootube.com
From playlist The Normal Distribution
Normal Distribution: Find Probability Given Z-scores Using a Free Online Calculator
This video explains how to determine normal distribution probabilities given z-scores using a free online calculator. http://dlippman.imathas.com/graphcalc/graphcalc.html
From playlist The Normal Distribution
Statistics Lecture 6.2: Introduction to the Normal Distribution and Continuous Random Variables
https://www.patreon.com/ProfessorLeonard Statistics Lecture 6.2: Introduction to the Normal Distribution and Continuous Random Variables
From playlist Statistics (Full Length Videos)
Normal Distribution: Find Probability Using With Z-scores Using Tables
This lesson explains how to use tables to determine the probability a data value will have a z-score more than or less and a given z-score. It also shows how to determine the probability between two z-scores. Site: http://mathispower4u.com
From playlist The Normal Distribution
Determining values of a variable at a particular percentile in a normal distribution
From playlist Unit 2: Normal Distributions
Ex 2: Find a Data Value Given a Probability Involving a Normal Distribution - TI84
This video explains how to determine a data value in a normal distribution given a probability using a TI84. http://mathispower4u.com
From playlist The Normal Distribution
Statistical Learning: 4.5 Discriminant Analysis
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Paper Read Aloud: Evaluation Examples Are Not Equally Informative: Should NLP Leaderboards Change?
An experiment! I recorded this a while ago but didn't post it until now because ... 2020. A long time ago, a blind student once asked me to record myself reading my papers when he found that I do that anyway during my editing process, so I finally did it. This is an experiment, feedback
From playlist Papers Read Aloud
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
Stanford CS229: Machine Learning | Summer 2019 | Lecture 7 - GDA, Naive Bayes & Laplace Smoothing
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3pqcX9P 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)
Statistical Rethinking 2023 - 09 - Modeling Events
Course details: https://github.com/rmcelreath/stat_rethinking_2023 Intro: https://www.youtube.com/watch?v=kFRdoYfZYUY River: https://www.youtube.com/watch?v=hh2Vs13sdNk Tide machine: https://www.youtube.com/watch?v=DmxLUb8g10Q Lego tide machine: https://www.youtube.com/watch?v=sAyVcM3g4q4
From playlist Statistical Rethinking 2023
Tom Goldstein: "What do neural loss surfaces look like?"
New Deep Learning Techniques 2018 "What do neural loss surfaces look like?" Tom Goldstein, University of Maryland Abstract: Neural network training relies on our ability to find “good” minimizers of highly non-convex loss functions. It is well known that certain network architecture desi
From playlist New Deep Learning Techniques 2018
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
予知保全・異常検知の例として、以下の二つの例をご紹介します。 1. ギアの故障診断 2. 心拍の異常・正常判定 - LSTMネットワークによるECG信号の分類: https://bit.ly/2IBzlZ9 - 機械学習のための信号処理: http://bit.ly/2E9Z2fZ - MATLABで信号処理~各種センサー信号を題材として~: http://bit.ly/2E96tnx - MATLABで信号処理~各種フィルタ設計を題材として~ : http://bit.ly/2E7nNJx ----------------------------------
From playlist 予知保全のための信号処理ビデオシリーズ
"Introduction to p-adic harmonic analysis" James Arthur, University of Toronto [2008]
James Arthur, University of Toronto Introduction to harmonic analysis on p-adic groups Tuesday Aug 12, 2008 11:00 - 12:00 The stable trace formula, automorphic forms, and Galois representations Video taken from: http://www.birs.ca/events/2008/summer-schools/08ss045/videos/watch/200808121
From playlist Mathematics
Learn how to create a normal distribution curve given mean and standard deviation
👉 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
Statistical Rethinking 2022 Lecture 10 - Counts & Confounds
Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Music etc: Intro: https://www.youtube.com/watch?v=Qut2getKFT4 River Kelvin: https://www.youtube.com/watch?v=hh2Vs13sdNk Tide machine: https://www.youtube.com/watch?v=DmxLUb8g10Q Lego tides: https://www.y
From playlist Statistical Rethinking 2022