메모리허브

Let's explore the concept of Machine Learning using analogies and clear explanations.The Big PictureImagine you have a friend who wants to learn how to cook. At first, they might follow a recipe step-by-step. Over time, they start to understand the patterns and principles behind cooking different dishes. Similarly, machine learning (ML) is about creating systems that can learn from data, identif..

The Naive Bayes model is a probabilistic machine learning algorithm used for classification tasks. It is based on Bayes' Theorem, assuming strong independence (naive) among features.The Big PictureImagine you are a detective trying to solve a case by considering various pieces of evidence. Each piece of evidence gives you some clue about who the culprit might be. The Naive Bayes model works simi..

Transformers in Large Language Models (LLMs) work by processing text through layers that handle both the sequential nature of language and long-range dependencies using self-attention mechanisms.The Big PictureImagine you are trying to understand a complex story with multiple characters and subplots. If you were to read it linearly, you might miss important connections between events. Instead, y..