From playlist filter (less comfortable)
The Mathematics of Population Growth Using Linear Models
Introduce implicit and explicit population models and their notation. Solve guided problems involving population models and their applications.
From playlist Discrete Math
Yes. I make mistakes ... rarely. http://www.flippingphysics.com
From playlist Miscellaneous
There are a lot more numbers than I thought there were - MegaFavNumbers
A short video detailing my favorite number larger than 1 million! There are so many numbers out there it was hard to choose from, but I’m glad I could participate in the #MegaFavNumbers series
From playlist MegaFavNumbers
Abundant, Deficient, and Perfect Numbers ← number theory ← axioms
Integers vary wildly in how "divisible" they are. One way to measure divisibility is to add all the divisors. This leads to 3 categories of whole numbers: abundant, deficient, and perfect numbers. We show there are an infinite number of abundant and deficient numbers, and then talk abou
From playlist Number Theory
Exploring an amazing pattern that forms when we multiply numbers built only with the one digit
From playlist Number Patterns
Discrete Random Variables (1 of 3: Expected value & median)
More resources available at www.misterwootube.com
From playlist Probability and Discrete Probability Distributions
Kai Yu: "Image Classification Using Sparse Coding, Pt. 1"
Graduate Summer School 2012: Deep Learning, Feature Learning "Image Classification Using Sparse Coding, Pt. 1" Kai Yu, Baidu Inc. Institute for Pure and Applied Mathematics, UCLA July 18, 2012 For more information: https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school
From playlist GSS2012: Deep Learning, Feature Learning
How Can We Be So Dense? The Benefits of Using Highly Sparse Representations | AISC
For slides and more information on the paper, visit https://aisc.ai.science/events/2019-12-04 Discussion lead: Subutai Ahmad
From playlist Math and Foundations
Kai Yu: "Image Classification Using Sparse Coding, Pt. 2"
Graduate Summer School 2012: Deep Learning, Feature Learning "Image Classification Using Sparse Coding, Pt. 2" Kai Yu, Baidu Inc. Institute for Pure and Applied Mathematics, UCLA July 18, 2012 For more information: https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school
From playlist GSS2012: Deep Learning, Feature Learning
A Compressed Overview of Sparsity
This talk presents a high level overview of compressed sensing, especially as it relates to engineering applied mathematics. We provide context for sparsity and compression, followed by good rules of thumb and key ingredients to apply compressed sensing.
From playlist Research Abstracts from Brunton Lab
Sparse Representation (for classification) with examples!
Follow updates on Twitter @eigensteve This video describes how to sparsely approximate data in an overcomplete library of examples. This algorithm has had profound impact in the past few decades for data analysis and machine learning. I will also include some examples in fluid dynamics
From playlist Sparsity and Compression [Data-Driven Science and Engineering]
Sparse Expert Models: Past and Future
Install NLP Libraries https://www.johnsnowlabs.com/install/ Register for Healthcare NLP Summit 2023: https://www.nlpsummit.org/#register Watch all NLP Summit 2022 sessions: https://www.nlpsummit.org/nlp-summit-2022-watch-now/ Presented by: -Barret, Zoph, Member of the Technical Staff
From playlist NLP Summit 2022
SINDy-PI: A robust algorithm for parallel implicit sparse identification of nonlinear dynamics
In this video, Kadierdan Kaheman describes SINDy-PI: A robust algorithm for parallel implicit sparse identification of nonlinear dynamics. The SINDy-PI overcomes the difficulties of using SINDy to identify the rational system or implicit dynamics and made it possible to directly extract th
From playlist Research Abstracts from Brunton Lab
Sparse Nonlinear Models for Fluid Dynamics with Machine Learning and Optimization
Reduced-order models of fluid flows are essential for real-time control, prediction, and optimization of engineering systems that involve a working fluid. The sparse identification of nonlinear dynamics (SINDy) algorithm is being used to develop nonlinear models for complex fluid flows th
From playlist Data-Driven Dynamical Systems with Machine Learning
In a sparse ruler, such as {0, 1, 6, 9, 11, 13}, all the distances can still be measured even though many marks are missing. The speaker has proven, by construction, that sparse rulers of any length L can be constructed with no more than round (sqrt(3 L + 9/4)) + 1 marks. In addition, on a
From playlist Wolfram Technology Conference 2021
Determine Where the Function is Not Continuous
In this video I will show you how to Determine Where the Function is Not Continuous.
From playlist Continuity Problems
Source code repository: https://github.com/williamfiset/algorithms Video slides: https://github.com/williamfiset/algorithms/tree/master/slides Website: http://www.williamfiset.com =================================== Practicing for interviews? I have used, and recommend `Cracking the Cod
From playlist Data structures playlist