Pages that link to "Machine learning terms"
The following pages link to Machine learning terms:
Displayed 250 items.
- Neural network (← links)
- Artificial Intelligence (← links)
- Terms (transclusion) (← links)
- To-Do List (← links)
- ML terms (redirect page) (← links)
- Accuracy (← links)
- Machine learning (← links)
- Backpropagation (← links)
- Batch size (← links)
- Batch (← links)
- Bias (ethics/fairness) (← links)
- Bias (← links)
- Binary classification (← links)
- Activation function (← links)
- AUC (Area Under the Curve) (← links)
- Bucketing (← links)
- Categorical data (← links)
- Class (← links)
- Embedding layer (← links)
- Epoch (← links)
- Example (← links)
- False negative (FN) (← links)
- False positive (FP) (← links)
- False positive rate (FPR) (← links)
- Feature cross (← links)
- Feature (← links)
- Classification model (← links)
- Classification threshold (← links)
- Continuous feature (← links)
- Feature engineering (← links)
- Feature set (← links)
- Class-imbalanced dataset (← links)
- Clipping (← links)
- Convergence (← links)
- DataFrame (← links)
- Datasets (← links)
- Deep model (← links)
- Dense feature (← links)
- Depth (← links)
- Discrete feature (← links)
- Dynamic (← links)
- Online learning (← links)
- Early stopping (← links)
- Dynamic model (← links)
- Training set (← links)
- True negative (TN) (← links)
- True positive (TP) (← links)
- True positive rate (TPR) (← links)
- Underfitting (← links)
- Unlabeled example (← links)
- Unsupervised machine learning (← links)
- Validation loss (← links)
- Validation set (← links)
- Validation (← links)
- Weight (← links)
- Weighted sum (← links)
- Z-score normalization (← links)
- Feature vector (← links)
- Feedback loop (← links)
- Generalization curve (← links)
- Generalization (← links)
- Gradient descent (← links)
- Ground truth (← links)
- Hidden layer (← links)
- Hyperparameter (← links)
- Inference (← links)
- Independently and identically distributed (i.i.d.) (← links)
- Input layer (← 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)
- Machine learning terms/Fairness (← links)
- Machine learning terms/Recommendation Systems (← links)
- Machine learning terms/Computer Vision (← links)
- Machine learning terms/Clustering (← links)
- Machine learning terms/Natural Language Processing (← links)
- Machine learning terms/TensorFlow (← links)
- Machine learning terms/Decision Forests (← links)
- Machine learning terms/Sequence Models (← links)
- Machine learning terms/Reinforcement Learning (← links)
- Machine learning terms/Google Cloud (← links)
- ML Terms (redirect page) (← links)
- AI ML Wiki (← links)
- A/B testing (← links)
- Action (← links)
- Active learning (← links)
- AdaGrad (← links)
- Agent (← links)
- Agglomerative clustering (← links)
- Anomaly detection (← links)
- AR (← links)
- Area under the PR curve (← links)
- Artificial general intelligence (← links)
- Attention (← links)
- Attribute sampling (← links)
- Attribute (← links)
- Augmented reality (← links)
- Automation bias (← links)
- Learning rate (← links)
- Layer (← links)
- Mini-batch (← links)
- Majority class (← links)
- Minority class (← links)
- BERT (Bidirectional Encoder Representations from Transformers) (← links)
- BLEU (Bilingual Evaluation Understudy) (← links)
- GPT (Generative Pre-trained Transformer) (← links)
- L1 loss (← links)
- L1 regularization (← links)
- L2 loss (← links)
- L2 regularization (← links)
- LaMDA (Language Model for Dialogue Applications) (← links)
- Log Loss (← links)
- N-gram (← links)
- NLU (← links)
- ROC (receiver operating characteristic) Curve (← links)
- ReLU (← links)
- Rectified Linear Unit (ReLU) (← links)
- Root Mean Squared Error (RMSE) (← links)
- Bag of words (← links)
- Bidirectional (← links)
- Bidirectional language model (← links)
- Bigram (← links)
- Causal language model (← links)
- Confusion matrix (← links)
- Crash blossom (← links)
- Decoder (← links)
- Denoising (← links)
- Embedding space (← links)
- Embedding vector (← links)
- Encoder (← links)
- Label (← links)
- Labeled example (← links)
- Lambda (← links)
- Language model (← links)
- Large language model (← links)
- Linear (← links)
- Linear model (← links)
- Linear regression (← links)
- Log-odds (← links)
- Logistic regression (← links)
- Loss (← links)
- Loss curve (← links)
- Loss function (← links)
- Masked language model (← links)
- Meta-learning (← links)
- Modality (← links)
- Model (← links)
- Model parallelism (← links)
- Multi-class classification (← links)
- Multi-head self-attention (← links)
- Multimodal model (← links)
- Natural language understanding (← links)
- Negative class (← links)
- Neuron (← links)
- Node (neural network) (← links)
- Nonlinear (← links)
- Nonstationarity (← links)
- Normalization (← links)
- Numerical data (← links)
- Offline (← links)
- Offline inference (← links)
- One-hot encoding (← links)
- One-vs.-all (← links)
- Online inference (← links)
- Output layer (← links)
- Overfitting (← links)
- Pandas (← links)
- Parameter (← links)
- Pipelining (← links)
- Positive class (← links)
- Post-processing (← links)
- Prediction (← links)
- Proxy labels (← links)
- Rater (← links)
- Regression model (← links)
- Regularization (← links)
- Regularization rate (← links)
- Self-attention (also called self-attention layer) (← links)
- Sentiment analysis (← links)
- Sequence-to-sequence task (← links)
- Sigmoid function (← links)
- Softmax (← links)
- Sparse feature (← links)
- Sparse representation (← links)
- Sparse vector (← links)
- Squared loss (← links)
- Staged training (← links)
- Static (← links)
- Static inference (← links)
- Stationarity (← links)
- Stochastic gradient descent (SGD) (← links)
- Supervised machine learning (← links)
- Synthetic feature (← links)
- Transformer (← links)
- Axis-aligned condition (← links)
- Bagging (← links)
- Binary condition (← links)
- Condition (← links)
- Decision forest (← links)
- Decision tree (← links)
- Entropy (← links)
- Feature importances (← links)
- Gini impurity (← links)
- Gradient boosted (decision) trees (GBT) (← links)
- Gradient boosting (← links)
- In-set condition (← links)
- Inference path (← links)
- Information gain (← links)
- Leaf (← links)
- Node (decision tree) (← links)
- Non-binary condition (← links)
- Oblique condition (← links)
- Out-of-bag evaluation (OOB evaluation) (← links)
- Token (← links)
- Trigram (← links)
- Unidirectional (← links)
- Unidirectional language model (← links)
- Word embedding (← links)
- Bellman equation (← links)
- DQN (← links)
- Deep Q-Network (DQN) (← links)
- Markov decision process (MDP) (← links)
- Markov property (← links)
- Q-function (← links)
- Q-learning (← links)
- Critic (← links)
- Environment (← links)
- Episode (← links)
- Epsilon greedy policy (← links)
- Experience replay (← links)
- Greedy policy (← links)
- Permutation variable importances (← links)
- Policy (← links)
- Random forest (← links)
- Root (← links)
- Sampling with replacement (← links)
- Shrinkage (← links)
- Split (← links)
- Splitter (← links)
- Threshold (for decision trees) (← links)
- Variable importances (← links)
- Wisdom of the crowd (← links)
- MNIST (← links)
- Bounding box (← links)