Physics 2.5 - Motion In 1-D - Graphical Solution (7 of 12) Ex. 7 Train Crossing
Visit http://ilectureonline.com for more math and science lectures! In this video I will graphically calculate time=? for the train to pass the crossing. Next video can be seen at: https://youtu.be/QUB5kLzUgFE
From playlist PHYSICS MECHANICS 1: INTRO, VECTORS, MOTION, PROJECTILE MOTION, NEWTON'S LAWS
Example 2: Solve a Problem using Distance = Rate x Time
This video provides an example of determining time given the distance and rate. Complete Video List at http://www.mathispower4u.yolasite.com or http://www.mathispower4u.wordpress.com
From playlist Whole Number Applications
Fastest Train 574 km/h - watch the top left speed
Video of a train speed test in France
From playlist Trains
How to calculate Mean and Standard Deviation
A review of average and standard deviation Like us on: http://www.facebook.com/PartyMoreStudyLess
From playlist Standard Deviation
Ex: Find How Faster Than the Speed Limit Is Needed Given a Travel Time
This video explains how to determine how much faster than the speed limit someone must travel to make a trip in a given time. http://mathispower4u.com
From playlist Solving Applications using Rational Equations
One of my favorite riddles that focuses on efficiency and optimization
From playlist Riddles
Variation (2 of 3: Direct example)
More resources available at www.misterwootube.com
From playlist Types of Relationships
Find the Minimum and Maximum Usual Values
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Find the Minimum and Maximum Usual Values
From playlist Statistics
Flow classifications velocity distribution
Advanced Hydraulics by Dr. Suresh A Kartha,Department of Civil Engineering,IIT Guwahati.For more details on NPTEL visit http://nptel.iitm.ac.in
From playlist IIT Guwahati: Advanced Hydraulics | CosmoLearning.org Civil Engineering
Estimate π with pasta? Buffon's noodle problem. Why is pi here?
Why can we estimate pi by throwing pasta onto a square grid? Why is pi here? Solution to Buffon's needle by generalizing to Buffon's noodle using only probability theory and no calculus. More links below Links to my follow up videos: * Computer simulations in Python/Google collab: https:/
From playlist Summer of Math Exposition Youtube Videos
Statistical Learning: 5.2 K-fold Cross Validation
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
25. Review of All Nuclear Interactions and Problem Set 7 Help
MIT 22.01 Introduction to Nuclear Engineering and Ionizing Radiation, Fall 2016 Instructor: Michael Short View the complete course: https://ocw.mit.edu/22-01F16 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61FVzAxBP09w2FMQgknTOqu Students' questions on the past month
From playlist MIT 22.01 Introduction to Nuclear Engineering and Ionizing Radiation, Fall 2016
Estimation of Coherence and Cross Spectra
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Averaging approaches for estimating coherence and cross spectra, analogous to Welch's averaged periodogram estimator of the power spectrum.
From playlist Estimation and Detection Theory
Lec 9b - Phys 237: Gravitational Waves with Kip Thorne
Watch the rest of the lectures on http://www.cosmolearning.com/courses/overview-of-gravitational-wave-science-400/ Redistributed with permission. This video is taken from a 2002 Caltech on-line course on "Gravitational Waves", organized and designed by Kip S. Thorne, Mihai Bondarescu and
From playlist Caltech: Gravitational Waves with Kip Thorne - CosmoLearning.com Physics
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
Performance Metrics and Evaluation
From playlist Data Science Course
Physics 3.2: Additional Motion Examples (4A of 12) An Accelerating Train (Graphical Method)
Visit http://ilectureonline.com for more math and science lectures! In this video I will find v0=?, vf=? for a train with a=1.6m/s^2 to cross a d=20m in t=2.4s, then t=? for the train to reach v=32m/s. (Graphical method) Next video in this series can be seen at: https://youtu.be/XSwfZcEP
From playlist PHYSICS 3.2 MORE MOTION PROBLEMS
Aki Vehtari: Model assessment, selection and averaging
Abstract: The tutorial covers cross-validation, and projection predictive approaches for model assessment, selection and inference after model selection and Bayesian stacking for model averaging. The talk is accompanied with R notebooks using rstanarm, bayesplot, loo, and projpred packages
From playlist Probability and Statistics