Definition of AR – Augmented Reality:Augmented Reality (AR) is a technology that overlays digital content—such as images, sounds, or information—onto the real world through devices like smartphones, tablets, or AR glasses. Unlike virtual reality, which creates an entirely immersive digital…
Definition of Exploratory Data Analysis (EDA):Exploratory Data Analysis (EDA) is a critical step in the data science process that involves examining datasets to summarize their main characteristics, often using visual methods. The goal is to uncover patterns, spot anomalies, test…
Definition of ETL – Extract, Transform, Load:ETL stands for Extract, Transform, Load, a data integration process used to gather data from various sources, transform it into a usable format, and load it into a destination system such as a data…
Definition of Application Programming Interface (API):An Application Programming Interface (API) is a set of protocols, tools, and definitions that allow software applications to communicate with each other. APIs enable developers to access the functionality of external software components, web services,…
Definition of Internet of Things (IoT):The Internet of Things (IoT) refers to the vast network of physical devices embedded with sensors, software, and connectivity, enabling them to collect and exchange data. These devices operate autonomously or in tandem to perform…
Definition of Robotic Process Automation (RPA):Robotic Process Automation (RPA) is a technology that uses software robots or “bots” to automate repetitive, rule-based tasks typically performed by humans in business processes. RPA bots interact with digital systems and applications, mimicking human…
Definition of Long Short-Term Memory (LSTM):Long Short-Term Memory (LSTM) is a type of Recurrent Neural Network (RNN) designed to effectively learn long-term dependencies in sequential data. Unlike traditional RNNs, LSTMs can capture both short- and long-term patterns by controlling the…
Definition of Principal Component Analysis (PCA):Principal Component Analysis (PCA) is an unsupervised dimensionality reduction technique used to transform high-dimensional data into a smaller number of principal components while preserving as much variability as possible. It identifies new, uncorrelated axes (principal…
Definition of K-Nearest Neighbor(KNN):K-Nearest Neighbors (KNN) is a simple, non-parametric, supervised machine learning algorithm used for classification and regression tasks. It classifies data points or predicts values by identifying the ‘k’ closest data points (neighbors) in the feature space and…
Definition of Support Vector Machine (SVM):Support Vector Machine (SVM) is a supervised machine learning algorithm used for classification and regression tasks. It works by finding the optimal hyperplane that best separates data points into distinct classes or predicts continuous outcomes.…
