Cracovians: The Twisted Twins of Matrices
https://marcinciura.wordpress.com/2025/06/20/cracovians-the-twisted-twins-of-matrices/
#HackerNews #Cracovians #TwistedTwins #Matrices #HackerNews #TechBlog
Cracovians: The Twisted Twins of Matrices
https://marcinciura.wordpress.com/2025/06/20/cracovians-the-twisted-twins-of-matrices/
#HackerNews #Cracovians #TwistedTwins #Matrices #HackerNews #TechBlog
Furthermore, she showed that certain stabilising effects of #network #structure can only be reproduced in theoretical #matrices when the underlying distribution of interaction strengths is highly skewed - which is in apparent contradiction to what is suggested by random matrix theory....
👉🏻 https://www.biorxiv.org/content/10.1101/2024.01.25.577181v2.abstract
More of her results will be published soon, so stay tuned!
Starting with Two Matrices [pdf]
https://web.mit.edu/18.06/www/Essays/starting2matrices.pdf
#HackerNews #StartingWithTwoMatrices #Matrices #PDF #MITResearch #LinearAlgebra #MathEducation
¿Quieres saber cuántas #matrices tiene tu manuscrito? Es muy útil para pedir presupuesto de #corrección, #editing, #maquetación o #InformesDeLectura.
Da igual si usas #Word, #GoogleDocs o #Scrivener, la respuesta está aquí 👇
BLOSUM (Genetics 🧬)
In bioinformatics, the BLOSUM matrix is a substitution matrix used for sequence alignment of proteins. BLOSUM matrices are used to score alignments between evolutionarily divergent protein sequences. They are based on local alignments. BLOSUM matrices were first introduced in a paper by Steven Henikoff and Jorja Henikoff. They scanned the BLOCKS database for very conserved regions of p...
¿Quieres saber cuántas #matrices tiene tu manuscrito? Es muy útil para pedir presupuesto de #corrección, #editing, #maquetación o #InformesDeLectura. Da igual si usas #Word, #GoogleDocs o #Scrivener, la respuesta está aquí 👇
https://s.mtrbio.com/vlyywvbqph
¿Quieres saber cuántas #matrices tiene tu manuscrito? Es muy útil para pedir presupuesto de #corrección, #editing, #maquetación o #InformesDeLectura.
Da igual si usas #Word, #GoogleDocs o #Scrivener, la respuesta está aquí 👇
https://s.mtrbio.com/mafjmikgij
¿Quieres saber cuántas #matrices tiene tu manuscrito? Es muy útil para pedir presupuesto de #corrección, #editing, #maquetación o #InformesDeLectura. Da igual si usas #Word, #GoogleDocs o #Scrivener, la respuesta está aquí 👇
https://s.mtrbio.com/epanrowjsd
🚀 In today's article, I explore how to create empty matrices in R! 🖥️ If you're looking to streamline your data analysis, this guide is for you.
Check it out at https://www.spsanderson.com/steveondata/posts/2025-01-09/ and share your thoughts!
Let's tackle those matrix challenges together!
#R #RStats #Programming #Data #Stats #RProgramming #Blog #Matrix #Matrices #Array
This is awesome! #mathematical #art with #complex #matrices thanks to @S_Conradi @rcorless
'A Statistical Experimental Design Method for Constructing Deterministic Sensing Matrices for Compressed Sensing', by Youran Qi, Xu He, Tzu-Hsiang Hung, Peter Chien.
http://jmlr.org/papers/v25/22-0760.html
#sensing #matrices #compressed
Pour s'amuser avec les matrices et #geogebra: 3 exemples pour générer des motifs aléatoires de Truchet.
https://www.geogebra.org/m/hap9nyjs#chapter/1127720
#matrix #maths #teaching #TeachingMaths #matrices #MathsExpertes
Dear #microplastic community. I do not know if you heard of this survey, feel free to participate to this 🇩🇪 initiative. It is important for those analysing ⚗️ plastic within #solid #matrices.
For all Transf ∈ ℝn×n, the matrix is invertible if and only if rank(Transf) = n
The #determinant exists if and only if the transformation matrix is square.
The determinant in a linear transformation is the (signed) area of the image of the fundamental basis formed by the unit square.
#algebra #matrices #tutorial #determinants #singularity #math #maths #mathematics #mathStodon #ML #machineLearning #systems
#Algebra thread 🧵
Which #matrices have an inverse?
Singular matrices never have an inverse.
When we look at the determinant, the determinant is non-zero for invertible matrices in the same way that non-zero numbers have an inverse.
Non-zero determinants mean that the matrices has an inverse, and a zero determinant means that the system (of sentences, of graphs) is singular.
#tutorial #learning #determinants #singularity #math #maths #mathematics #mathStodon #ML #machineLearning #systems
Data returned by an observation typically is represented as a vector in machine learning.
A neural network can be seen as a large collection of linear models. We may represent the inputs and outputs of each layer as vectors, matrices, and tensors (which are like higher dimensional matrices).
#algebra #linearAlgebra #vectors #matrices #determinants #singularity #ML #DataScience #math #maths #mathematics #mathStodon #ML #data #dataDon #dataScience #machineLearning #DeepLearning #neuralNetworks
Linear algebra (continued)
Which of the below operations, when applied to the rows of a matrix, keeps the #singularity (or non-singularity) of the matrix?:
(Hint: It works the same as a system of linear equations.)
#learning #algebra #systems #matrices #determinants #singularity #data #ML #DataScience #math #maths #mathematics #mathStodon #tutorial #poll #exercise #exercice #puzzle #calculus
A system (of sentences, of equations, of graphs) is said "complete" if it has one and only one solution.
A system is deemed "singular" if it does not have one and only one solution.
A convenient way to show singularity is to:
* define a "determinant" as the product of the leading diagonal minus the product of the antidiagonal and
* calculate that it is zero.
#learning #algebra #systems #matrices #determinants #singularity #data #ML #DataScience #math #maths #mathematics #tutorial
In 2016, the American Statistical Association #ASA made a formal statement that "a p-value, or statistical significance, does not measure the size of an effect or the importance of a result".
It also stated that "p-values do not measure the probability that the studied hypothesis is true, or the probability that the data were produced by random chance alone".
#nullHypothesis #probabilities #probability #maths #mathematics #vectors #data #bigData #matrices #ML #distributions #stats #statistics