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A-Z of Machine Learning and Computer Vision Terms

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C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
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Generative Pre-Trained Transformer
Generative Pre-Trained Transformer
Ghost Frames
Ghost Frames
Gradient Descent
Gradient Descent
Greyscale
Greyscale
Ground Truth
Ground Truth
H
H
Hidden Layer
Hidden Layer
Histogram of Oriented Gradients (HOG)
Histogram of Oriented Gradients (HOG)
Human Pose Estimation
Human Pose Estimation
Human in the Loop (HITL)
Human in the Loop (HITL)
Hyperparameter Tuning
Hyperparameter Tuning
Hyperparameters
Hyperparameters
I
I
Image Annotation
Image Annotation
Image Augmentation
Image Augmentation
Image Captioning
Image Captioning
Image Classification
Image Classification
Image Degradation
Image Degradation
Image Generation
Image Generation
Image Processing
Image Processing
Image Recognition
Image Recognition
Image Restoration
Image Restoration
Image Segmentation
Image Segmentation
Imbalanced Data
Imbalanced Data
Imbalanced Dataset
Imbalanced Dataset
In-Context Learning
In-Context Learning
Interpolation
Interpolation
Interpretability
Interpretability
Intersection over Union (IoU)
Intersection over Union (IoU)
J
J
Jaccard Index
Jaccard Index
Jupyter Notebooks
Jupyter Notebooks
K
K
K-Means Clustering
K-Means Clustering
K-Nearest Neighbor (KNN)
K-Nearest Neighbor (KNN)
Keypoints
Keypoints
Knowledge Graphs
Knowledge Graphs
Knowledge Transfer
Knowledge Transfer
L
L
LIDAR
LIDAR
Label
Label
Label Errors
Label Errors
Large Language Model (LLM)
Large Language Model (LLM)
Latent Dirichlet Allocation (LDA)
Latent Dirichlet Allocation (LDA)
Latent Space
Latent Space
Learning Rate
Learning Rate
Linear Discriminant Analysis (LDA)
Linear Discriminant Analysis (LDA)
Linear Regression
Linear Regression
Logistic Regression
Logistic Regression
Long Short-Term Memory (LSTM)
Long Short-Term Memory (LSTM)
Loss Function
Loss Function
Loss Function
Loss Function
M
M
Machine Learning (ML)
Machine Learning (ML)
Manifold Learning
Manifold Learning
Markov Chains
Markov Chains
Mean Average Precision (mAP)
Mean Average Precision (mAP)
Mean Squared Error (MSE)
Mean Squared Error (MSE)
Medical Image Segmentation
Medical Image Segmentation
Micro-Models
Micro-Models
Model Parameters
Model Parameters
Model Validation
Model Validation
Motion Detection
Motion Detection
Motion Estimation
Motion Estimation
Multi-Task Learning
Multi-Task Learning
N
N
NIfTI
NIfTI
Natural Language Processing (NLP)
Natural Language Processing (NLP)
Neural Architecture Search
Neural Architecture Search
Neural Networks
Neural Networks
Neural Style Transfer
Neural Style Transfer
Noise
Noise
Normalization
Normalization
O
O
Object Detection
Object Detection
Object Localization
Object Localization
Object Recognition
Object Recognition
Object Tracking
Object Tracking
One-Shot Learning
One-Shot Learning
Optical Character Recognition (OCR)
Optical Character Recognition (OCR)
Optimization Algorithms
Optimization Algorithms
Outlier Detection
Outlier Detection
Overfitting
Overfitting
P
P
PACS (Picture Archiving and Communication System)
PACS (Picture Archiving and Communication System)
PR AUC
PR AUC
Pandas and NumPy
Pandas and NumPy
Panoptic Segmentation
Panoptic Segmentation
Parameter-Efficient Fine-Tuning (Prefix-Tuning)
Parameter-Efficient Fine-Tuning (Prefix-Tuning)
Pattern Recognition
Pattern Recognition
Perceptron
Perceptron
Pixel
Pixel
Pool-Based Sampling
Pool-Based Sampling
Pooling
Pooling
Pooling Layer
Pooling Layer
Pose Estimation
Pose Estimation
Precision
Precision
Predictive Model Validation
Predictive Model Validation
Principal Component Analysis
Principal Component Analysis
Prompt Chaining
Prompt Chaining
E
Edge Cases
Edge Computing
Edge Detection
Elastic Net
Embedding Spaces
Ensemble Learning
Epoch
Expectation-Maximization Algorithm (EM)
Extreme Learning Machine

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Clustering
Dimensionality Reduction
Pooling Layer
Activation Function
Hidden Layer
Random Forests
K-Nearest Neighbor (KNN)
Support Vector Machines (SVMs)
Knowledge Transfer
Loss Function
Cross-entropy Loss
Convolutional Neural Network (CNN)
Deep Reinforcement Learning (DRL)
Zero-Shot Learning
YOLO Object Detection
XGBoost
Type I Error (False Positive)
XAI (Explainable AI)
Variational Autoencoders
Weight Decay (L2 Regularization)
Weak Supervision
Variance (Model Variance)
Unsupervised Learning
Pandas and NumPy
Transformers (Transformer Networks)
Type II Error (False Negative)
True Positive Rate (TPR)
Triplet Loss
Tabular Data
Training Data
Transfer Learning
Text Generation Inference
Surrogate Model
Synthetic Data
Stream-Based Selective Sampling
Supervised Learning
PyTorch
Sliding Window Attention
Semi-supervised Learning
Sentiment Analysis
Segment Anything Model (SAM)
Sensitivity and Specificity of Machine Learning
Semantic Segmentation
Self-Supervised Learning
Selective Sampling
Scikit-Learn
Scale Imbalance
ROC (Receiver Operating Characteristic) Curve
Responsible AI
Reinforcement Learning
Regularization Algorithms
Regression (Regression Analysis)
Region Proposal Network (RPN)
Region-Based CNN (R-CNN)
Recurrent Neural Network (RNN)
Recall (Sensitivity or True Positive Rate)
Random Forest
RAG Architecture
Query Synthesis Methods
Query Strategy (Active Learning)
Quantum Machine Learning
Prompt Engineering
Prompt Injection
Prompt Chaining
Predictive Model Validation
Precision
PR AUC
Pose Estimation
Pooling
Pool-Based Sampling
Pixel
Perceptron
Principal Component Analysis
Pattern Recognition
Parameter-Efficient Fine-Tuning (Prefix-Tuning)
Panoptic Segmentation
PACS (Picture Archiving and Communication System)
Overfitting
One-Shot Learning
Outlier Detection
Optimization Algorithms
Optical Character Recognition (OCR)
Object Tracking
Object Localization
Object Recognition
Object Detection
Normalization
Noise
NIfTI
Neural Networks
Neural Style Transfer
Neural Architecture Search
Natural Language Processing (NLP)
Motion Estimation
Multi-Task Learning
Motion Detection
Model Validation
Model Parameters
Micro-Models
Medical Image Segmentation

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