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Glossary
A
B
C
D
E
F
G
H
I
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Z
A
Absolute Error
Accuracy
Activation Function
Actor-Critic
Adam Optimizer
Adversarial Examples
Agent
Aggregation
Algorithmic Bias
Alpha-Beta Pruning
AlphaGo
Anomaly Detection
Anti-Aliasing
Attention Mechanism
Autoencoders
B
Backpropagation
Bag of Words
Bagging
Balanced Dataset
Batch Normalization
Bayes' Theorem
Bayesian Network
Beam Search
Bias-Variance Tradeoff
Big Data
Binary Classification
Boosting
Bot
C
Capsule Neural Network
Categorical Data
Categorical Encoding
Causal Inference
Causality
Chain-of-Thought Reasoning
Checkpoint
Class Imbalance
Classification
Clustering
CNN (Convolutional Neural Network)
Coefficient of Determination (R^2)
Collaborative Filtering
Computer Vision
Confusion Matrix
Convergence
Cost Function
Cross-Entropy Loss
Cross-Validation
Curse of Dimensionality
D
Data Augmentation
Data Cleaning
Data Collection
Data Drift
Data Engineering
Data Governance
Data Imputation
Data Labeling
Data Leakage
Data Mining
Data Pipeline
Data Preprocessing
Data Visualization
Dataset
Denoising Autoencoder
Dense Layer
Deployment
Deterministic Policy
DevOps for ML (MLOps)
Dimension
Dimensionality Reduction
Discrete Data
Discriminator
Distributed Training
DNN (Deep Neural Network)
Dropout
E
Early Stopping
EDA (Exploratory Data Analysis)
Embedding
Encoder-Decoder
Ensemble Learning
Environment
Epoch
Evaluation Metrics
Evolutionary Algorithm
Experience Replay
Expert System
Explainable AI (XAI)
Exploration vs Exploitation
F
Feature
Feature Importance
Feature Map
Feature Scaling
Feature Selection
Feedforward Neural Network
Few-Shot Learning
Fine-Tuning
Forward Propagation
FPGA Acceleration
G
GAN (Generative Adversarial Network)
Gaussian Mixture Model
Generalization
Genetic Algorithm
Genetic Programming
GPU Acceleration
Gradient
Gradient Boosting
Gradient Clipping
Gradient Descent
Grid Search
Ground Truth
H
He Initialization
Heuristic
Hidden Layer
Hierarchical Clustering
High-Performance Computing (HPC)
Hyperparameter
Hyperplane
I
Image Recognition
Imbalanced Classification
Imitation Learning
Incremental Learning
Initialization
Instance Segmentation
Intelligent Agent
K
K-Means
K-Nearest Neighbors
Kernel
Kernel Trick
L
Label Encoding
Labeled Data
Lasso Regression
Latent Space
Leaky ReLU
Learning Rate
Likelihood
Linear Discriminant Analysis
Linear Regression
Logistic Regression
Loss Function
LSTM (Long Short-Term Memory)
M
Machine Learning
Manifold Learning
Margin
Markov Chain
Markov Decision Process
Mean Absolute Error
Mean Squared Error
Mean-Shift Clustering
MLOps
Model Interpretability
Model Monitoring
Model Selection
Model Validation
Multi-Class Classification
Multi-Label Classification
Multi-Task Learning
N
Naive Bayes
Named Entity Recognition
Natural Language Generation
Natural Language Processing
Nesterov Accelerated Gradient
Neural Architecture Search
Neural Network
Noise
Normalization
O
Object Detection
One-Hot Encoding
One-Shot Learning
Online Learning
Optimizer
Overfitting
P
Parameter
Parsing
Perceptron
Pipeline
Policy Gradient
Pooling
Precision
Predictive Modeling
Pretraining
Principal Component Analysis
Probabilistic Model
Prompt Engineering
Q
Q-Learning
Quality Assurance in ML
Quantization
Query
R
Random Forest
Random Initialization
Random Search
Range Normalization
Recall
Recommendation System
Rectified Linear Unit (ReLU)
Recurrent Neural Network (RNN)
Reinforcement Learning
ReLU
Residual Network (ResNet)
Reward
ROC Curve
Root Mean Squared Error (RMSE)
S
Sampling
Scaler
Scatter Plot
Self-Attention
Self-Supervised Learning
Semi-Supervised Learning
Seq2Seq
Sigmoid
Silhouette Score
Softmax
Spectral Clustering
Stacking
Stochastic Gradient Descent
Stochastic Process
Structured Data
Supervised Learning
SVM (Support Vector Machine)
Swarm Intelligence
T
TanH
Tensor
TensorFlow
Text Classification
Text Generation
Time Series Analysis
Token Embeddings
Tokenization
Transfer Learning
Transformer
Transition Probability
Turing Test
U
UDA (Unsupervised Data Augmentation)
Underfitting
Uniform Distribution
Uniform Manifold Approximation and Projection (UMAP)
Unstructured Data
Unsupervised Learning
V
Value Function
Vanishing Gradients
Variational Inference
Vectorization
Version Control for ML
Visualization
W
Word Embeddings
Word2Vec
X
XAI (Explainable AI)
XGBoost
Z
Z-Score Normalization
Zero-Shot Learning
