Machine Learning (ML) is a subfield of artificial intelligence that focuses on developing algorithms and models capable of learning patterns and making decisions.

Deep Learning (DL) is a subfield of Artificial Intelligence (AI) that focuses on developing algorithms inspired by the structure and function of the human brain,

Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on enabling interaction between computers and humans using natural language.

Convolutional Neural Networks (CNNs) are a type of deep learning neural network designed specifically to process data with

Recurrent Neural Networks (RNNs) are a type of artificial neural network model designed to process sequences of data, where the order of the elements is

GANs (Generative Adversarial Networks) are a type of machine learning model that consists of two neural networks that

Reinforcement Learning (RL) is a branch of artificial intelligence and machine learning focused on training agents to make decisions in dynamic environments.

Artificial Neural Networks (ANN) are a subfield of Artificial Intelligence (AI) that attempts to imitate the functioning of the human brain,

Support Vector Machine (SVM) is a supervised learning algorithm used primarily for classification tasks, although it can also be applied to regression. The goal

K-Nearest Neighbors (KNN) is a supervised learning algorithm used for classification and regression. The basic principle of KNN is that similar objects tend to be similar.