Randomness Quiz - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Randomness - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
The Most Powerful Tool Based Entirely On Randomness
We see the effects of randomness all around us on a day to day basis. In this video we’ll be discussing a couple of different techniques that scientists use to understand randomness, as well as how we can harness its power. Basically, we'll study the mathematics of randomness. The branch
From playlist Classical Physics by Parth G
This lesson introduces the different sample methods when conducting a poll or survey. Site: http://mathispower4u.com
From playlist Introduction to Statistics
Statistics: Ch 5 Discrete Random Variable (1 of 27) What is a Random Variable?
Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn a random variable is a variable which represents the outcome of a trial, an experiment, or an event. It is a specific n
From playlist STATISTICS CH 5 DISCRETE RANDOM VARIABLE
Prob & Stats - Random Variable & Prob Distribution (1 of 53) Random Variable
Visit http://ilectureonline.com for more math and science lectures! In this video I will define and gives an example of what is a random variable. Next video in series: http://youtu.be/aEB07VIIfKs
From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution
IntroToNonParametricTests.6.PermutationTest
This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources
From playlist Applied Data Analysis and Statistical Inference
Random and systematic error explained: from fizzics.org
In scientific experiments and measurement it is almost never possible to be absolutely accurate. We tend to make two types of error, these are either random or systematic. The video uses examples to explain the difference and the first steps you might take to reduce them. Notes to support
From playlist Units of measurement
Discrete Math - 7.2.2 Random Variables and the Binomial Distribution
Introduction to random variables and finding probability of an event or cumulative probability using the binomial distribution. Textbook: Rosen, Discrete Mathematics and Its Applications, 7e Playlist: https://www.youtube.com/playlist?list=PLl-gb0E4MII28GykmtuBXNUNoej-vY5Rz
From playlist Discrete Math I (Entire Course)
Cryptography and Network Security by Prof. D. Mukhopadhyay, Department of Computer Science and Engineering, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
From playlist Computer - Cryptography and Network Security
STAT 200 Lesson 5 Full Video Lecture
Table of Contents: 00:25 - Learning objectives 00:43 - Review: Symbols 01:59 - Hypothesis testing scenario example 02:58 - Five step hypotehsis testing procedure 04:43 - 1. Identify and write null and alternative hypotheses 08:26 - Example: Proportion broken products 10:15
From playlist STAT 200 Video Lectures
PMSP - Computational pseudo-randomness and extractors I - Russell Impagliazzo
Russell Impagliazzo UC San Diego and Institute for Advanced Study June 14, 2010 For more videos, visit http://video.ias.edu
From playlist Mathematics
PMSP - Quasi-random boolean functions, and inapproximability - Ryan O'Donnell
Ryan O'Donnell Carnegie Mellon University June 17, 2010 For more videos, visit http://video.ias.edu
From playlist Mathematics
Lecture 11 - Statistical Significance
This is Lecture 11 of the CSE519 (Data Science) course taught by Professor Steven Skiena [http://www.cs.stonybrook.edu/~skiena/] at Stony Brook University in 2016. The lecture slides are available at: http://www.cs.stonybrook.edu/~skiena/519 More information may be found here: http://www
From playlist CSE519 - Data Science Fall 2016
Intro to Machine Learning: Lesson 5
In today's lesson we start by learning more about the "tree interpreter", including the use of "waterfall charts" to analyze their output. Next up, we look into the subtle but important issue of extrapolation. This is the weak point of random forests - they can't predict values outside th
From playlist Introduction to Machine Learning for Coders
How to detect White Noise in time series with R | Test Simulate Plot Data Tutorial Data Analyisis
What is white noise? How to detect if my time series is just noise? - How to determine if my data is white noise - How to simulate white noise in R / Rstudio - Mathematical equation for errors - What are the properties or conditions of white noise - Which test to use ? libraries? - what
From playlist machine learning
Random Walk and Time Series Tutorial in R: ACF Dickey Fuller Test Ljung Box stationarity correlation
what is a random walk in time series? How to determinte if my data is a random walk? how to test stationarity? In this episode of the crash course - tutorial on statistics and data science with R / Rstudio: - Characteristics of a random walk - How to test my time series behaviour in R?
From playlist machine learning
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2017 This video covers some background lecture and how to run a permutation (or randomization) test in R. I cover the basic difference between NHST and permutation tests, but highly recommend more background reading on the t
From playlist Advanced Statistics Videos
t Test Write Up of a Hypothesis Test of an Unknown Population Mean
How to perform and write up a hypothesis test [t test] of an unknown population mean [In accordance with AP Statistics requirements]
From playlist Unit 9: t Inference and 2-Sample Inference