The following pages link to Machine learning terms:
Displayed 50 items.
- Dimensions (← links)
- Discriminative model (← links)
- Discriminator (← links)
- Disparate impact (← links)
- Disparate treatment (← links)
- Dropout regularization (← links)
- Eager execution (← links)
- Estimator (← links)
- GAN (← links)
- Earth mover's distance (EMD) (← links)
- Empirical risk minimization (ERM) (← links)
- Ensemble (← links)
- Equality of opportunity (← links)
- Equalized odds (← links)
- Experimenter's bias (← links)
- Fairness constraint (← links)
- Fairness metric (← links)
- False negative rate (← links)
- Feature extraction (← links)
- Feature spec (← links)
- Federated learning (← links)
- Feedforward neural network (FFN) (← links)
- Few-shot learning (← links)
- Fine tuning (← links)
- Full softmax (← links)
- Fully connected layer (← links)
- Generalized linear model (← links)
- Generative adversarial network (GAN) (← links)
- Generative model (← links)
- Generator (← links)
- Gradient (← links)
- IoU (← links)
- Keras (← links)
- Kernel Support Vector Machines (KSVMs) (← links)
- Layers API (tf.layers) (← links)
- Graph (← links)
- Graph execution (← links)
- Group attribution bias (← links)
- Hallucination (← links)
- Hashing (← links)
- Heuristic (← links)
- Hinge loss (← links)
- Holdout data (← links)
- Hyperplane (← links)
- Implicit bias (← links)
- In-group bias (← links)
- Incompatibility of fairness metrics (← links)
- Independently and identically distributed (i.i.d) (← links)
- Individual fairness (← links)
- Instance (← links)