The following pages link to Machine learning:
Displayed 100 items.
- Z-score normalization (← links)
- Feature vector (← links)
- Feedback loop (← links)
- Generalization curve (← links)
- Generalization (← links)
- Gradient descent (← links)
- Ground truth (← links)
- Hyperparameter (← links)
- Inference (← links)
- Independently and identically distributed (i.i.d.) (← links)
- Interpretability (← links)
- Iteration (← links)
- Stability (← links)
- L0 regularization (← links)
- Training-serving skew (← links)
- Training loss (← links)
- Training (← links)
- Test loss (← links)
- Machine learning terms/All (← links)
- Machine learning terms/Fundamentals (← links)
- Anomaly detection (← links)
- AR (← links)
- Learning rate (← links)
- Layer (← links)
- Mini-batch (← links)
- Majority class (← links)
- Minority class (← links)
- Zero shot, one shot and few shot learning (← links)
- N-gram (← links)
- Rectified Linear Unit (ReLU) (← links)
- Bigram (← links)
- Causal language model (← links)
- Confusion matrix (← links)
- Encoder (← links)
- Label (← links)
- Labeled example (← links)
- Linear regression (← links)
- Logistic regression (← links)
- Loss (← links)
- Loss curve (← links)
- Loss function (← links)
- Meta-learning (← links)
- Model (← links)
- Model parallelism (← links)
- Multi-class classification (← links)
- Multimodal model (← links)
- Node (neural network) (← links)
- Nonstationarity (← links)
- Numerical data (← links)
- Offline inference (← links)
- One-hot encoding (← links)
- Output layer (← links)
- Positive class (← links)
- Proxy labels (← links)
- Regression model (← links)
- Self-attention (also called self-attention layer) (← links)
- Sentiment analysis (← links)
- Softmax (← links)
- Squared loss (← links)
- Static inference (← links)
- Stationarity (← links)
- Stochastic gradient descent (SGD) (← links)
- Supervised machine learning (← links)
- Synthetic feature (← links)
- Binary condition (← links)
- Condition (← links)
- Decision tree (← links)
- Entropy (← links)
- Feature importances (← links)
- Gini impurity (← links)
- Gradient boosting (← links)
- Information gain (← links)
- Leaf (← links)
- Node (decision tree) (← links)
- Trigram (← links)
- Q-learning (← links)
- Permutation variable importances (← links)
- Policy (← links)
- Random forest (← links)
- Shrinkage (← links)
- Split (← links)
- Threshold (for decision trees) (← links)
- Variable importances (← links)
- Bounding box (← links)
- Convolution (← links)
- Convolutional layer (← links)
- Convolutional operation (← links)
- Data augmentation (← links)
- Reinforcement learning (RL) (← links)
- Reward (← links)
- Tabular Q-learning (← links)
- Termination condition (← links)
- RNN (← links)
- Centroid-based clustering (← links)
- Clustering (← links)
- Hierarchical clustering (← links)
- Subsampling (← links)
- Timestep (← links)
- Bayesian neural network (← links)
- Average precision (← links)