Statistics - How to use Chebyshev's Theorem
In this video I cover at little bit of what Chebyshev's theorem says, and how to use it. Remember that Chebyshev's theorem can be used with any distribution, and that it gives a lower proportion of what we can expect in the actual data. ▬▬ Chapters ▬▬▬▬▬▬▬▬▬▬▬ 0:00 Start 0:04 What is C
From playlist Statistics
From playlist Dimensions Russian / Pусский
In this video, I state and prove Chebyshev's inequality, and its cousin Markov's inequality. Those inequalities tell us how big an integrable function can really be. Enjoy!
From playlist Real Analysis
Checking normality using skewness, kurtosis, Kolmogorov–Smirnov and Shapiro-Wilk tests
In this video, I will explain how to use SPSS to evaluate check for normality using skewness, kurtosis, Kolmogorov–Smirnov and Shapiro-Wilk tests. Please also check the following video for further information: https://www.youtube.com/watch?v=Wql-YRAoX6I The criteria that I will explain
From playlist Descriptive Statistics SPSS
AI learns to Create ̵K̵Z̵F̵ ̵V̵i̵d̵e̵o̵s̵ Cat Pictures: Papers in Two Minutes #1
Some beautiful new GAN results have been published, so let's have a quick look at the pretty pictures. More AI Safety coming soon of course. With apologies to Two Minute Papers: https://www.youtube.com/user/keeroyz The Computerphile video: https://www.youtube.com/watch?v=Sw9r8CL98N0 The P
From playlist Best Of
Scalable Supervision: Concrete Problems in AI Safety Part 5
Why can't we just have humans overseeing our AI systems? The Concrete Problems in AI Safety Playlist: https://www.youtube.com/playlist?list=PLqL14ZxTTA4fEp5ltiNinNHdkPuLK4778 Previous Video: https://www.youtube.com/watch?v=13tZ9Yia71c The Computerphile video: https://www.youtube.com/wat
From playlist Concrete Problems in AI Safety
Reward Hacking Reloaded: Concrete Problems in AI Safety Part 3.5
Goodhart's Law, Partially Observed Goals, and Wireheading: some more reasons for AI systems to find ways to 'cheat' and get more reward than we intended. The Concrete Problems in AI Safety Playlist: https://www.youtube.com/playlist?list=PLqL14ZxTTA4fEp5ltiNinNHdkPuLK4778 Previous Video:
From playlist Concrete Problems in AI Safety
Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Chebyshev's Theorem - In this video, I state Chebyshev's Theorem and use it in a 'real life' problem.
From playlist All Videos - Part 4
What Can We Do About Reward Hacking?: Concrete Problems in AI Safety Part 4
Three different approaches that might help to prevent reward hacking. New Side Channel with no content yet!: https://www.youtube.com/channel/UC4qH2AHly_RSRze1bUqSSNw Where do we go now?: https://www.youtube.com/watch?v=vYhErnZdnso Previous Video in the series: https://youtu.be/46nsTFfsBuc
From playlist Concrete Problems in AI Safety
What can AGI do? I/O and Speed
Suppose we make an algorithm that implements general intelligence as well as the brain. What could that system do? It might have better input and output than a human, and probably could be run faster... The Computerphile video: https://www.youtube.com/watch?v=tcdVC4e6EV4 The paper 'Concre
From playlist Best Of
Intelligence and Stupidity: The Orthogonality Thesis
Can highly intelligent agents have stupid goals? A look at The Orthogonality Thesis and the nature of stupidity. The 'Stamp Collector' Computerphile video: https://www.youtube.com/watch?v=tcdVC4e6EV4 My other Computerphile videos: https://www.youtube.com/watch?v=GSIDS_lvRv4&list=PLqL14ZxT
From playlist Best Of
This statistics video tutorial provides a basic introduction into Chebyshev's theorem which states that the minimum percentage of distribution values that lie within k standard deviations of the mean is equal to 1 - 1/K^2. How To Calculate Federal Income Taxes: https://www.youtube.com/wat
From playlist Statistics
Statistics - How to use the Empirical Rule
In this video we cover how to use the Empirical Rule for normal (bell-shaped) distributions. Remember that for real-world data that only approximately follows a normal distribution, these values will give you approximate percentages. ▬▬ Chapters ▬▬▬▬▬▬▬▬▬▬▬ 0:00 Start 0:13 What is the
From playlist Statistics
#MegaFavNumbers What’s your Mega Favourite Number?
From playlist MegaFavNumbers
Ruby On Ales 2015 - Estimation Blackjack and Other Games: a Comedic Compendium
By, Amy Unger Running a good estimation meeting is hard. It’s easy to get lost in the weeds of implementation, and let weird social interactions slip into our estimating process. You, too, may have played Estimation Blackjack without realizing it, being “out” if you give an estimate higher
From playlist Ruby on Ales 2015
Introduction to Estimation Theory
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. General notion of estimating a parameter and measures of estimation quality including bias, variance, and mean-squared error.
From playlist Estimation and Detection Theory
23. Classical Statistical Inference I
MIT 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010 View the complete course: http://ocw.mit.edu/6-041F10 Instructor: John Tsitsiklis License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013
Excel Statistical Analysis 14: Z-Score, Empirical Rule , Chebyshev Theorem: # of Standard Deviations
Download Excel File: https://excelisfun.net/files/Ch03-ESA.xlsm Learn about the z-score (number of standard deviations) and how to calculate it and use it in the Empirical Rule and Chebyshev's Theorem. Topics: 1. (00:00) Introduction to Z-Score 2. (01:23) Basics of Z-Score Calculations usi
From playlist Excel Statistical Analysis for Business Class Playlist of Videos from excelisfun
Power Analysis, Clearly Explained!!!
If you're doing an experiment, a Power Analysis is a must. It ensures reproducibility by helping you avoid p-hacking and being fooled by false positives. NOTE: This StatQuest assumes that you are already familiar with the concept of Statistical Power, Population Parameters vs Estimated Pa
From playlist StatQuest