Pseudo Random Number Generator - 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 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
(PP 3.1) Random Variables - Definition and CDF
(0:00) Intuitive examples. (1:25) Definition of a random variable. (6:10) CDF of a random variable. (8:28) Distribution of a random variable. A playlist of the Probability Primer series is available here: http://www.youtube.com/view_play_list?p=17567A1A3F5DB5E4
From playlist Probability Theory
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
Random Oracle - 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
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
SIMPLE Random Sampling Methods (12-3)
We want a representative sample. The best way to get a representative sample is to use a random sample. The best way to get a random sample is to use random sampling techniques. We can also use non-random sampling techniques. But…selecting a random sample does not guarantee it will be a re
From playlist Sampling Distributions in Statistics (WK 12 - QBA 237)
Live CEOing Ep 258: Language Design in Wolfram Language
Watch Stephen Wolfram and teams of developers in a live, working, language design meeting. This episode is about Language Design in the Wolfram Language.
From playlist Behind the Scenes in Real-Life Software Design
Coding Math: Episode 51 - Pseudo Random Number Generators Part I
Back to School Special. This short series will discuss pseudo random number generators (PRNGs), look at how they work, some algorithms for PRNGs, and how they are used. Support Coding Math: http://patreon.com/codingmath Source Code: https://jsbin.com/nifutup/1/edit?js,output Earlier Sourc
From playlist Episodes
Reverse Engineering a DGA (Domain Generation Algorithm)
Open Analysis Live! In this tutorial we walk through the process of locating, reverse engineering, and replicating a domain generation algorithm (DGA). ----- OALABS DISCORD https://discord.gg/6h5Bh5AMDU OALABS PATREON https://www.patreon.com/oalabs OALABS TIP JAR https://ko-fi.com/oala
From playlist Open Analysis Live!
Coding Math: Episode 52 - Pseudo Random Number Generators, Part II
This time we look at a couple of existing PRNG libraries available in JavaScript, and look at some examples of how PRNGs can be used in cryptography, games, and generative art. Support Coding Math: http://patreon.com/codingmath Source Code: Crypto: http://jsbin.com/kipequk/2/edit?js,cons
From playlist Episodes
Pseudorandom number generators | Computer Science | Khan Academy
Random vs. Pseudorandom Number Generators Watch the next lesson: https://www.khanacademy.org/computing/computer-science/cryptography/modern-crypt/v/the-fundamental-theorem-of-arithmetic-1?utm_source=YT&utm_medium=Desc&utm_campaign=computerscience Missed the previous lesson? https://www.k
From playlist Journey into cryptography | Computer Science | Khan Academy
Reproducible results with Keras
In this video, we observe how we can achieve reproducible results from an artificial neural network in Keras by setting random seeds for Python, NumPy, and Tensorflow. 🕒🦎 VIDEO SECTIONS 🦎🕒 00:00 Welcome to DEEPLIZARD - Go to deeplizard.com for learning resources 00:30 Help deeplizard add
From playlist Keras Python Deep Learning Neural Network API
The Randomness Problem: How Lava Lamps Protect the Internet
Go to https://Brilliant.org/SciShow to get 20% off of an annual Premium subscription! Randomness is important for all kinds of things, from science to security, but to generate true randomness, engineers have turned to some pretty odd tricks! Hosted by: Stefan Chin Head to https://scish
From playlist Uploads
Procedural Generation: Programming The Universe
In this video I look at how we can manipulate randomness to generate coherent and well formed structures on demand, which allows truly vast and complex resources to be created with no effort from a designer Source: https://github.com/OneLoneCoder/Javidx9/blob/master/PixelGameEngine/Smalle
From playlist Interesting Programming
How Do Computers Produce Random Numbers?
The first in a series of videos on noise; in this premiere we tackle the idea of white noise and pseudo-random number generators. Twitter: https://twitter.com/Acerola_t Twitch: https://www.twitch.tv/acerola_t Discord: https://discord.gg/FxGQvbfm6Y Code: https://github.com/GarrettGunnell/L
From playlist Noise
Conceptual Questions about Random Variables and Probability Distributions
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Conceptual Questions about Random Variables and Probability Distributions
From playlist Statistics
Black Hat USA 2010: How I Met Your Girlfriend 2/4
Speaker: Samy Kamkar How I Met Your Girlfriend: The discovery and execution of entirely new classes of attacks executed from the Web in order to meet your girlfriend. This includes newly discovered attacks including HTML5 client-side XSS (without XSS hitting the server!), PHP session hija
From playlist BH USA 2010 - WEB APPS