Machine learning concepts¶
This page is auto-generated from ## Topics in terms/<a-z>/.
- Autoencoder
- Batch
- BERT (Bidirectional Encoder Representations from Transformers)
- Cross-Attention
- Cross-validation
- Cross-validation fold
- Decoder
- Disentangled Representation Learning
- Embedding
- Encoder
- Feedforward Network (FFN)
- Fine-Tuning
- Gradient Descent
- Graph Neural Network (GNN)
- Graphics Processing Unit (GPU)
- Heuristic
- Hidden Markov model (HMM)
- Hyperparameter
- Jaccard similarity coefficient
- Knowledge Distillation
- Latent finite mixture model
- Learning Rate
- Leave-one-out cross-validation
- Loss Function
- Masked Attention
- Mean Absolute Error (MAE)
- Mean Absolute Percentage Error (MAPE)
- Mean Squared Error (MSE)
- Modality
- Optimizer
- Overfitting
- Positional Encoding
- Pretraining
- Regularization
- Root Mean Squared Error (RMSE)
- t-distributed stochastic neighbor embedding (t-SNE)
- Tokenization
- Training Epoch
- UMAP
- Underfitting
- Variational Autoencoder (VAE)
- Variational Inference (VI)