The following pages link to Machine learning:
Displayed 100 items.
- 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)
- Baseline (← links)
- Batch normalization (← links)
- Boosting (← links)
- Checkpoint (← links)
- Convex function (← links)
- K-median (← links)
- Similarity measure (← links)
- Sketching (← links)
- Dataset API (tf.data) (← links)
- Co-training (← links)
- Convex set (← links)
- Cost (← links)
- Cross-validation (← links)
- Data parallelism (← links)
- Decision threshold (← links)
- Deep neural network (← links)
- Dimension reduction (← links)
- Dimensions (← links)
- Empirical risk minimization (ERM) (← links)
- Ensemble (← links)
- Fairness constraint (← links)
- False negative rate (← links)
- Feature extraction (← links)
- Feature spec (← links)
- Generative adversarial network (GAN) (← links)
- Generative model (← links)
- IoU (← links)
- Kernel Support Vector Machines (KSVMs) (← links)
- Heuristic (← links)
- Hinge loss (← links)
- Holdout data (← links)
- Hyperplane (← links)
- Inter-rater agreement (← links)
- Logits (← links)
- NumPy (← links)
- Loss surface (← links)
- Matplotlib (← links)
- Metric (← links)
- Minimax loss (← links)
- Model training (← links)
- Multinomial classification (← links)
- Multinomial regression (← links)
- Noise (← links)
- Novelty detection (← links)
- Objective function (← links)
- SavedModel (← links)
- Optimizer (← links)
- Outlier detection (← links)
- Oversampling (← links)
- Parameter update (← links)