Fernando Estrada @fesphoton
There's no anything faster than photon, except for me 😂⚡️| Physics at UNAM | Sports ⚽🏀🏈 | Books 📚 | Movies and videogames 🎮🎞️ | Nature Ciudad de México Joined October 2017-
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Clustering is an unsupervised machine learning technique for grouping similar data points into clusters without prior labels. It reveals inherent structures in data by organizing items so that those in the same group are more alike. Real-life applications include customer…
Choosing the right regression model is crucial when analyzing data. Today, we’re comparing Multiple Regression with Ridge Regression, two powerful methods for predictive modeling. When applied correctly, these models can greatly enhance the accuracy of your predictions: ✔️…
Hidden Markov Models are statistical models that describe a system with unobserved, or "hidden," states that generate a sequence of observable outputs. The model assumes that the probability of transitioning to a new state depends only on the current state, making it a "Markov"…
How to perform ANCOVA in R finnstats.com/how-to-perform…
If you're preparing for technical interviews, you may be working through a bunch of LeetCode problems. And this is helpful, but you should really understand the key concepts behind these DSA problems first. In this visual handbook, Eda goes over the Data Structures & Algorithms…
Everyone keeps talking about the Central Limit Theorem. But here’s the truth: What separates the adults from the children in probability is not whether you’ve heard of it… but whether you can actually prove it. The CLT isn’t just a slogan.
MIT's Introduction to Numerical Methods by Prof. Steven G. Johnson Lecture notes: ocw.mit.edu/courses/18-335…
💡 Visualiza tus clústeres con estilo (y sentido): guía rápida con R 🔥 Hoy te comparto un pequeño tour visual por distintas formas de representar un análisis de clúster jerárquico. Porque encontrar grupos es solo el comienzo: visualizarlos bien es lo que marca la diferencia.👇
Probability and statistics bootcamp By Steve Brunton Youtube link: youtube.com/playlist?list=…
🗣️ R en tiene dos dialectos: 🔹 R base 🔹 tidyverse No es una guerra, es bilingüismo. En la infografía te muestro funciones clave de dplyr. En el hilo, los pros y contras de cada enfoque 👇 #DataScience #RStats #stats #analytics #tidyverse #programming #code #dataanalysis #ML
9 Machine Learning Algorithms #machinelearning #python #pythonprogramming #pythondev
Algorithms and Data Structures by K. Wayne and M. Dall'Agnol and P. Paredes Course page: cs.princeton.edu/courses/archiv…
Harvard's "Probability Theory" lecture notes PDF: people.math.harvard.edu/~ctm/papers/ho…
He predicted: • The Deep Learning revolution (2008) • The online education boom (2011) • China's massive AI dominance (2014) Now Andrew Ng revealed 5 opportunities that will create more millionaires than anything before. Here's what you should know (& how to prepare): 🧵
MIT's Optimization Methods by Prof. Dimitris Bertsimas Lecture notes: ocw.mit.edu/courses/15-093…
If you're a web dev who wants to turn your site into a native app, this article's for you. In it, Sanjay teaches you how to use the Bubblwrap tool to convert a website to a PWA & publish it on the Play Store. He walks you through creating the PWA, creating the Android app,…
For learning Mathematics, He is the BEST. Complete beginner friendly.
DBeaver is the most powerful open-source SQL IDE, but there are several features people don’t know about. Mateus Trentz shares several features to speed up your workflow. towardsdatascience.com/7-powerful-dbe…
The Wilcoxon Signed-Rank Test is a non-parametric statistical test used to compare two related samples or repeated measurements to determine if their population distributions differ. Unlike the paired t-test, which assumes normal distribution, the Wilcoxon Signed-Rank Test is…
Did you know you can calculate the exact sample size you need before you even start your study? A sample size calculation — also called a power analysis — helps you determine the optimal number of observations for your statistical analysis. It ensures your study is large enough…
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