Glossary

Algorithm

Accuracy

Activation Function

Adversarial Example

AI Framework

AI Models Lifecycle

Algorithmic Bias

API (Application Programming Interface)

Artificial Neural Network

AutoEncoder

Backpropagation

Bagging

Bayesian Network

Big Data

Binary Classification

Biometrics

Boosting

Bloom Filter

Chatbots

Classification

Clustering

Cold Start Problem

Computer Vision

Convergence

Convolution

Convolutional Neural Network

Cost Function

Cross Entropy

Data Annotation

Data Augmentation

Data Bias

Data Labeling

Data Leakage

Data Pipeline

Data Preprocessing

Data Sparsity

Dataset

Decision Boundary

Edge AI

Embedding

Ensembling

Epoch

Explainability

Exploratory Data Analysis (EDA)

F1 Score

False Positive

Feature Engineering

Feature Extraction

Feature Map

Feedforward Neural Network

Fine tuning

Forward Propagation

Fourier Transform

Gaussian Process

Generalization

Generative Adversarial Network (GAN)

Generative Artificial Intelligence (GenAI)

Gradient

Gradient Descent

Gradient Optimization

Graph Neural Network (GNN)

Heuristic

Hidden Layer

Histogram of Oriented Gradients (HOG)

Hybrid AI

Hyperparameter Tuning

Hyperparameters

Image Recognition

Imbalanced Dataset

Imputation

Incremental Learning

Inference

Instance Segmentation

Intelligent Agent

Interpretability

IoU (Intersection over Union)

Iteration

Joint Probability

JSON (JavaScript Object Notation)

Jupyter Notebook

K-Fold Cross Validation

K-Means

Kernel

Knowledge Distillation

Knowledge Graph

Label

Label Noise

Latent Space

Learning Graph

Learning Rate

Linear Regression

Logistic Regression

Long Short-Term Memory (LSTM)

Loss Function

Loss Landscape

Machine Learning

Manifold Learning

Markov Decision Process (MDP)

Matrix Factorization

Meta-Learning

Mini-Batch Gradient Descent

Model Compression

Model Drift

Model Explainability

Model Pruning

Naive Bayes

Named Entity Recognition (NER)

Natural Language Generation (NLG)

Natural Language Processing (NLP)

Neural Architecture Search (NAS)

Neural Network Architecture

Neural Style Transfer

Node

Noise

Normalization

Object Detection

One-Hot Encoding

Online Learning

Optimization Algorithm

Outlier

Output Layer

Overfitting

Overhead

Padding

Parameter

Perceptron

Pipeline

Policy

Predictive Model

Principal Component Analysis (PCA)

Probabilistic Model

Probability Distribution

Pruning

Q-Learning

Quantization

Query

Queueing Model

Recall

Recurrent Neural Network

Regression

Regularization

Reinforcement Learning

Residual Network (ResNet)

Reward

Robustness

ROC & AUC Curve

Root Mean Square Error (RMSE)

Semi-Supervised Learning

Sensitivity

Sequence-to-Sequence Model (Seq2Seq)

Siamese Network

Softmax

Sparse Data

Speech Recognition

Stochastic Gradient Descent

Supervised Learning

Synthetic Data

Tensor

Training Data

Time Series Analysis

Tokenization

Transfer Learning

Transformers

True Positive Rate

Truth Table

U-Net

Uncertainty Quantification

Underfitting

Unsupervised Learning

Upsampling

Utility Function

Validation Data

Value Function

Variance

Variational Autoencoder (VAE)

Vectorization

Video Analysis

Virtual Assistant

Visualization

Weak AI

Weight

Weighted Average

Word Embedding

Workflow Automation

XAI (Explainable AI)

XGBoost

XML (eXtensible Markup Language)

XOR Problem

YOLO (You Only Look Once)

Z-Score

Zero-Shot Learning

Zoom-In Learning