From playlist Week 1 2015 Shorts
5. Boolean variables in python
Boolean variables can be either True or False. These variables are very important in programming because we often have tasks or decisions to make which depend on whether different logical conditions are met. We need a way to define a True or False outcome. In this video we describe these v
From playlist Intro to Python Programming for Materials Engineers
Using Boolean in Python (Python Tutorial #11)
Using Boolean in Python - let's go! This entire series in a playlist: https://goo.gl/eVauVX Also, keep in touch on Facebook: https://www.facebook.com/entercsdojo And Twitter: https://twitter.com/ykdojo
From playlist Python Tutorials for Absolute Beginners by CS Dojo
Learn about the three most basic types of values: booleans, strings, and numbers. A boolean is a true or false value. These words are special and reserved. You can't name a variable "true", because that word is already universal as a boolean (as is "false"). A string is a set of characte
From playlist Computer Science and Software Engineering Theory with Briana
Boolean Algebra 2 – Simplifying Complex Expressions
This video follows on from the one about the laws of Boolean algebra. It explains some useful interpretations of the laws of Boolean algebra, in particular, variations of the annulment and distributive laws. It goes on to demonstrate how Boolean algebra can be applied to simplify comple
From playlist Boolean Algebra
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
Replacing truth tables and Boolean equivalences | MathFoundations274 | N J Wildberger
While Propositional Logic is a branch of philosophy, concerned with systematizing reasoning using connectives such as AND, OR, NOT, IMPLIES and EQUIVALENT, the Algebra of Boole provides a mathematical framework for modelling some of this. With this approach we ignore the issue of the mean
From playlist Boole's Logic and Circuit Analysis
MSPTDA 19: CALCULATE DAX Function & Filter Context & ALLSELECTED & KEEPFILTERS (50 Examples)
All 20 files used in video are available in this zipped folder: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/DAX/FilesUsedInVideo19.zip Download file individually at class web site: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/DAX/DAX.htm pfd notes
From playlist Dashboards: How To Build Them for Excel & Power BI Desktop . Playlist of Videos
Amortized circuit complexity, formal complexity measures, and catalytic algorithms - Jeroen Zuiddam
Computer Science/Discrete Mathematics Seminar II Topic: Amortized circuit complexity, formal complexity measures, and catalytic algorithms Speaker: Jeroen Zuiddam Affiliation: New York University - Courant Institute of Mathematical Sciences Date: March 23, 2021 For more video please visi
From playlist Mathematics
Wolfram Student Podcast Episode 2: Multilayered Neural Networks on Boolean Functions
In the second episode of the Wolfram Student Podcast, we feature Taein Kim and his project on optimizing multilayered neural networks on boolean functions. Join us as we discuss the construction of a neural network in the Wolfram Language and the accuracy of his model for boolean functions
From playlist Wolfram Student Podcast
The Monomial Structure of Boolean Functions - Shachar Lovett
Workshop on Additive Combinatorics and Algebraic Connections Topic: The Monomial Structure of Boolean Functions Speaker: Shachar Lovett Affiliation: University of California, San Diego Date: October 25, 2022 Let f:0,1n to 0,1 be a boolean function. It can be uniquely represented as a mu
From playlist Mathematics
Lecture 1 | The Perceptron - History, Discovery, and Theory
Carnegie Mellon University Course: 11-785, Intro to Deep Learning Offering: Fall 2019 Slides: http://deeplearning.cs.cmu.edu/document/lecture/lecture1.pdf For more information, please visit: http://deeplearning.cs.cmu.edu/ Contents: • Course Logistics
From playlist Introduction to Machine Learning
Tight Space Complexity of the Coin Problem - Or Zamir
Short Talks by Postdoctoral Members Topic: Tight Space Complexity of the Coin Problem Speaker: Or Zamir Affiliation: Member, School of Mathematics Date: September 29, 2021
From playlist Mathematics
Monotone Arithmetic Circuit Lower Bounds Via Communication Complexity - Arkadev Chattopadhyay
Computer Science/Discrete Mathematics Seminar I Topic: Monotone Arithmetic Circuit Lower Bounds Via Communication Complexity Speaker: Arkadev Chattopadhyay Affiliation: Tata Institute of Fundamental Research Date: February 15, 2021 For more video please visit http://video.ias.edu
From playlist Mathematics
Recursively Applying Constructive Dense Model Theorems and Weak Regularity - Russell Impagliazzo
Russell Impagliazzo University of California, San Diego; Member, School of Mathematics February 7, 2011 For more videos, visit http://video.ias.edu
From playlist Mathematics
Data Science Basics: Gridded Data
Live Jupyter walkthrough of all the basic gridded data (maps and models) in NumPy ndarrays. Should be enough to get anyone started building Data Analytics and Machine Learning workflows in Python. Based on the workflow https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/Pytho
From playlist Data Science Basics in Python
Linear Regression using Python
This seminar series looks at four important linear models (linear regression, analysis of variance, analysis of covariance, and logistic regression). A video that explains all four model types is at https://www.youtube.com/watch?v=SV9AxXFWZnM&t=12s This video is on linear regression usin
From playlist Statistics
(May 16, 2012) David Dill discusses how a continuing improvement of computing technology is making it possible to digitally model some biological systems. Stanford University: http://www.stanford.edu/ Stanford School of Engineering: http://soe.stanford.edu/ Stanford Computer Systems Co
From playlist Engineering