#Matrices

Dr. Korinna AllhoffKorinnaAllhoff@ecoevo.social
2025-05-01

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....

👉🏻 biorxiv.org/content/10.1101/20

More of her results will be published soon, so stay tuned!

Pirra Smith 🏳️‍🌈 ¶§pirra@paquita.masto.host
2025-03-03

¿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 👇

s.mtrbio.com/owcoomujtx

Planetary Ecologistplanetaryecologist
2025-02-23

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...

en.wikipedia.org/wiki/BLOSUM

Pirra Smith 🏳️‍🌈 ¶§pirra@paquita.masto.host
2025-02-14

¿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 👇

s.mtrbio.com/vlyywvbqph

Pirra Smith 🏳️‍🌈 ¶§pirra@paquita.masto.host
2025-01-27

¿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 👇

s.mtrbio.com/mafjmikgij

Pirra Smith 🏳️‍🌈 ¶§pirra@paquita.masto.host
2025-01-10

¿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 👇

s.mtrbio.com/epanrowjsd

Steven P. Sanderson II, MPHstevensanderson@mstdn.social
2025-01-09

🚀 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 spsanderson.com/steveondata/po and share your thoughts!

Let's tackle those matrix challenges together!

#R #RStats #Programming #Data #Stats #RProgramming #Blog #Matrix #Matrices #Array

Code snippet showing how to create empty matrices in R. The first example creates a 3x4 matrix using matrix(NA, nrow = 3, ncol = 4). The second example creates a 2x2 matrix using matrix(NA, 2, 2). Both matrices are printed afterward.A surreal, green-tinted cityscape inspired by "The Matrix." A large glowing green "R" dominates the background, surrounded by falling binary code. In the foreground, a figure in a black trench coat and sunglasses, resembling Neo, stands on a high ledge overlooking the city. The scene is atmospheric, blending digital and physical elements seamlessly.
∞ 𝕁uan ℂarlosjcponcemath@mathstodon.xyz
2024-11-27

This is awesome! #mathematical #art with #complex #matrices thanks to @S_Conradi @rcorless

2024-10-26

'A Statistical Experimental Design Method for Constructing Deterministic Sensing Matrices for Compressed Sensing', by Youran Qi, Xu He, Tzu-Hsiang Hung, Peter Chien.

jmlr.org/papers/v25/22-0760.ht

#sensing #matrices #compressed

pablolarahpablolarah
2024-10-24

🔴🟠🟡 The Collective No. 874

at @codrops.bsky.social @codrops

is for people @bw

Transforming colors with @lisyarus

Interactive Guide to Rendering in ui.dev

Lessons from Plain Text @kugurerdem

mailchi.mp/codrops/collective8

Red text The Collective No. 874 on pink background
Jean-Baptiste EtienneJeanBaptisteEt4@mathstodon.xyz
2024-10-23

Pour s'amuser avec les matrices et #geogebra: 3 exemples pour générer des motifs aléatoires de Truchet.

geogebra.org/m/hap9nyjs#chapte

#matrix #maths #teaching #TeachingMaths #matrices #MathsExpertes

Pour s'amuser avec les matrices et #geogebra: 3 exemples pour générer des motifs de dits de Truchet.Pour s'amuser avec les matrices et #geogebra: 3 exemples pour générer des motifs de dits de Truchet.Pour s'amuser avec les matrices et #geogebra: 3 exemples pour générer des motifs de dits de Truchet.
Alexandre DehautA_Dehaut
2024-10-22

Dear 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 .

➡️ rptu.de/s/solidm

2024-09-10

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

2024-09-04

#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

2024-08-27

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

A neural network can be seen as a large collection of linear models.

Creative Commons License, by Luis Serrano for DeepLearning.AI
2024-08-19

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

2024-08-17

@math

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

A matrix is singular if its determinant is zero
2024-08-13

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

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst