NLP Introduction

machine translation Machine Translation in NLP Machine Translation (MT) is a subfield of Natural Language Processing (NLP) that focuses on the automatic conversion of text or speech from one language to another. The goal is to bridge language barriers and enable communication across different languages with minimal human intervention. There are several approaches to machine…

Ensemble in Machiene Learning

this is about combining multiple models in random forest we use multiple decision trees in boostng we use this methods Ensemble learning is a technique in machine learning where multiple models (often called “weak learners”) are trained to solve the same problem and combined to get better performance. The primary goal of ensemble methods is…

Markov Decision Process

A Markov Decision Process (MDP) is a mathematical framework for modeling decision-making in situations where outcomes are partly random and partly under the control of a decision-maker. It provides a formalism for modeling the environment in reinforcement learning. An MDP is defined by: The goal in an MDP is to find a policy that maximizes…

SVM in Machine Learning

SVMs shine with small to medium-sized nonlinear datasets (i.e., hundreds to thousands of instances), especially for classification tasks. this is hyper plane Support Vector Machines (SVM) are a powerful and versatile supervised machine learning algorithm used for classification and regression tasks. They are particularly well-suited for binary classification problems. SVMs work by finding the hyperplane…