WWei RuiJun 11 · 14 min readTigers, Ghosting, and Bayes' TheoremTigers, Ghosting, and Bayes' Theorem Prior, likelihood, posterior — and the tug-of-war between them, built from scratch You jolt awake in the dark and hear a tiger roar. For about half a second, what intuitiveml.hashnode.dev
AAnik ChandMay 23 · 4 min read#7 Naive Bayes AlgorithmNaive Bayes is a supervised machine learning algorithm mainly used for classification problems. It is based on Bayes’ Theorem and assumes that all features are independent. Naive Bayes is commonly usanikchandml.hashnode.dev
ИИлья СтепановDec 8, 2025 · 10 min readAccelerated Linearized Laplace Approximation for Bayesian Deep LearningIntroduction Bayesian NNs and Laplace Approximation (LA) Linearized Laplace (LLA) and Scalability Problem Accelerated Linearized Laplace Approximation (ELLA) Experiments Conclusion Introduction Deep neural networks (DNNs) have become the default to...bmmtalksella.hashnode.dev
DDhairya PatelAug 28, 2025 · 2 min readDay 9 – Bayes’ Theorem & Naive Bayes ClassifierHey everyone 👋 Dhairya here, Today’s focus was on one of the most fundamental ideas in probabilistic machine learning: Bayes’ Theorem and its practical use in the Naive Bayes classifier. 🔢 What I Learned Today 1. Bayes’ Theorem Formula: P(A∣B)=...dhairya-ai-dev.hashnode.dev
VVishal RewaskarJul 16, 2025 · 4 min readNaive Bayes Classifier —ML AlgorithmWhile watching the tutorial, I was confused. What the heck is this? I got the point about how probability works and the mathematical intuition behind this theorem, but I'm confused about where, when, and why I should use this theorem. And when I trie...untrained.hashnode.dev
SSudhin KarkiMay 6, 2025 · 3 min readProbability concepts in real worldProbability can be simply as how likely something is to happen. Whenever we are unsure of the result, we tends toward there is certain chance of this happening. And, the analysis of events governed by probability is called statistics. Here are some r...techgigsudhin20.hashnode.dev
BBernardo Ribeiro de MouraMar 26, 2025 · 5 min readO problema de Monty HallO artigo do MIT Technology Review, intitulado "O problema de Monty Hall: probabilidade condicional" (https://mittechreview.com.br/o-problema-de-monty-hall/?utm_source=chatgpt.com) explica como o problema ilustra a probabilidade condicional. Em um pro...rascunho.hashnode.dev
JJason VertreesFeb 13, 2025 · 11 min readI'll Never Forget Bayes's Theorem AgainMathematical intuition is, as the LLMs say, crucial, to technologists and engineers. We can "chi by eye" or "guesstimate" or even better solve problems with much less effort and error because we know how it works and why it works that way. Bayes's Th...jvertrees.hashnode.dev
CChandan KumarFeb 13, 2025 · 3 min readProbability and Bayes' Theorem in Machine LearningIntroduction Probability theory is a fundamental concept in machine learning, enabling models to make predictions and handle uncertainty in data. One of the most powerful tools in probability is Bayes' Theorem, which provides a mathematical framework...liladhar.hashnode.dev
SSaket KhopkarJan 16, 2025 · 5 min readDay 2: Statistics and Probability BasicsIn this blogpost, we will be amplifying our area of focus on Statistics and Probability, which plays a crucial role in the field of Data Science and Machine Learning. We will also have a look at some of the algorithms and will also look into the prac...learnaimldswithsk.hashnode.dev
