(ML 10.7) Predictive distribution for linear regression (part 4)
How to compute the (posterior) predictive distribution for a new point, under a Bayesian model for linear regression.
From playlist Machine Learning
(ML 10.4) Predictive distribution for linear regression (part 1)
How to compute the (posterior) predictive distribution for a new point, under a Bayesian model for linear regression.
From playlist Machine Learning
(ML 10.5) Predictive distribution for linear regression (part 2)
How to compute the (posterior) predictive distribution for a new point, under a Bayesian model for linear regression.
From playlist Machine Learning
(ML 10.6) Predictive distribution for linear regression (part 3)
How to compute the (posterior) predictive distribution for a new point, under a Bayesian model for linear regression.
From playlist Machine Learning
(ML 7.7.A2) Expectation of a Dirichlet random variable
How to compute the expected value of a Dirichlet distributed random variable.
From playlist Machine Learning
Weight Tuning for Model Predictive Controllers
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Use Tuning Adviser to adjust model predictive controller weights to improve controller performance. For more videos, visit http://www.mathworks.com/products/mpc/examples.ht
From playlist Control System Design and Analysis
From playlist STAT 501
Introduction to Classification | Predictive Modeling and Machine Learning, Part 2
This video covers the basics of the most common machine learning classification models that you can tune to work with any number of predictor variables. Each has its advantages and disadvantages in terms of accuracy and training speed. The only way to know which one works best on a particu
From playlist Predictive Modeling and Machine Learning
Team 3379 NC School Sci And Math presentation 2014
In Moody's Mega Math Challenge 2014, more than 5,000 high school students across the U.S. set out to determine what makes a school lunch easy on the stomach...and the wallet. Participants pored over data, crunched numbers, and used mathematical analysis to determine how school lunches can
From playlist M3 Challenge 2014 Team Presentations
Matthew Gillman – The Arc of Fetal, Developmental and Adult Health: Stanford Childx Conference
Matthew Gillman discusses the developmental origins of heart disease at the inaugural Childx Conference, 2015. Childx is a dynamic, TED-style conference designed to inspire innovation that improves pediatric and maternal health. Visit our website at http://childx.stanford.edu/.
From playlist Stanford Childx Conference 2015: Keynotes
How P-Values Help Us Test Hypotheses: Crash Course Statistics #21
Today we're going to begin our three-part unit on p-values. In this episode we'll talk about Null Hypothesis Significance Testing (or NHST) which is a framework for comparing two sets of information. In NHST we assume that there is no difference between the two things we are observing and
From playlist Statistics
Columbus North High School (Team 13562) 2020 Presentation
Columbus North High School from Columbus, Indiana was a Finalist in MathWorks Math Modeling Challenge 2020! Due to COVID-19, finalist teams submitted video presentations to communicate the results of their solution papers. Learn more about the 2020 Challenge problem topic, and the winners:
From playlist M3 Challenge 2020 Video Presentations
Dr. Eric Verdin on Ketogenic Diet Longevity, Beta-Hydroxybutyrate, HDAC Inhibitors & NAD+
- Eric M. Verdin, M.D. is the fifth president and chief executive officer of the Buck Institute for Research on Aging and is a professor of Medicine at UCSF. Dr. Verdin's laboratory focuses on the role of epigenetic regulators in the aging process, the role of metabolism and diet in agin
From playlist Interviews
The Fluid Effects That Kill Pumps
Three hydraulic effects that ruin a pump. We collectively move incredible volumes of fresh water, drainage, and wastewater into, out of, and around our cities every day. And, we mostly do it using pumps. I love pumps. But, even though they are critical for the safety, health, and well-bei
From playlist Flow in Pipes
How to Fit Linear Regression: Test Assumptions in R Rstudio | Model Diagnostic Tutorial Data Science
Learn how to fit a simple linear regression model with #R #rstudio Test and check Multiple Linear Regression analysis Assumptions? are they met? - Preparing data for fitting a model - Split data intro train and test data - Build the model with functions - Check models performance with Ca
From playlist Regression with R
How Superchargers vs. Turbos Work
Get to know the differences between superchargers and turbos. CREDITS Jacob O'Neal - modeling, animation, texturing, vfx, music Wesley O'Neal - research MUSIC I composed the background music specifically for this video. Hear "Boosted" on my Soundcloud: https://soundcloud.com/jakeoneal/bo
From playlist How Cars Work - Animagraffs
How Machine Learning is Fighting Cancer
Be one of the first 73 people to sign up with this link and get 20% off your subscription with Brilliant.org! https://brilliant.org/realengineering/ New vlog channel: https://www.youtube.com/channel/UCMet4qY3027v8KjpaDtDx-g Patreon: https://www.patreon.com/user?u=2825050&ty=h Facebook: h
From playlist Medical
Stock Market Predictions : Python for Finance 10
In previous videos we made a wonderful investment portfolio and now we will use regression analysis to make stock market predictions about the future performance of our portfolio. I’ll be using the ARIMA model for making stock market predictions in this video. It focuses on trying to fit
From playlist Python for Finance
2015 Perry McCarty Distinguished Lecture Series featuring Dr. Michael Kavanaugh
As part of the Civil & Environmental Engineering Department's Perry McCarty Distinguished Lecture Series, Dr. Michael Kavanaugh of Geosyntec Consultants presented a lecture titled "Reflections on Sustainable Futures: The Trade-off Challenges" on May 22, 2015.
From playlist Perry McCarty Distinguished Lecture Series