⚡Activation Function

A mathematical function that introduces nonlinearity into a neural network.

🕵️Adversarial Example

An input crafted to fool a machine learning model into misclassifying it.

⚖️AI Ethics

The study of moral issues arising from the development and use of AI.

🧮Algorithm

A finite sequence of instructions for solving a problem or performing a task.

⚠️Algorithmic Bias

Systematic and unfair discrimination arising from AI systems.

🧠Artificial Intelligence

The simulation of human intelligence processes by computer systems.

👁️Attention Mechanism

A technique that lets models focus on relevant parts of the input.

🔄Autoencoder

A neural network trained to reconstruct its input through a bottleneck.

🚗Autonomous Vehicle

A vehicle that can navigate and operate without human intervention.

🔙Backpropagation

An algorithm that computes gradients to update neural network weights.

⚖️Bias-Variance Tradeoff

The balance between a model's simplicity and its ability to fit data.

💊Capsule Network

A neural network that uses capsules to better model spatial hierarchies.

🗂️Classification

The task of assigning inputs to one of several predefined categories.

🔵Clustering

Grouping data points so that similar items fall into the same cluster.

👁️Computer Vision

The field of enabling computers to interpret and understand visual information.

📊Confusion Matrix

A table that summarizes classification performance across predicted classes.

🖼️Convolutional Neural Network

A neural network designed for processing grid-like data such as images.

🔁Cross-Validation

A technique for assessing how a model generalizes to unseen data.

🔒Data Privacy

The protection of personal information used in AI systems.

🏗️Deep Belief Network

A generative model composed of stacked restricted Boltzmann machines.

🕸️Deep Learning

Machine learning using neural networks with many layers to model complex patterns.

🌫️Diffusion Model

A generative model that learns to denoise data to create new samples.

🗜️Dimensionality Reduction

Techniques that reduce the number of input variables in a dataset.

🔀Discriminative Model

A model that learns to distinguish between different classes of data.

📱Edge AI

Running AI models on local devices rather than in the cloud.

🌌Embedding Space

A continuous vector space where similar items are mapped close together.

📋Expert System

A program that uses a knowledge base to solve complex problems.

🔍Explainable AI

Methods that make machine learning model decisions understandable to humans.

⚖️F1 Score

The harmonic mean of precision and recall, balancing both metrics.

🔢Feature

An individual measurable property or characteristic used as input to a model.