Category:Not Edited
Pages in category "Not Edited"
The following 200 pages are in this category, out of 413 total.
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N
O
P
- Pandas
- Parameter
- Parameter Server (PS)
- Parameter update
- Partial derivative
- Participation bias
- Partitioning strategy
- Perceptron
- Performance
- Permutation variable importances
- Pipeline
- Pipelining
- Policy
- Pooling
- Positive class
- Post-processing
- PR AUC (area under the PR curve)
- Pre-trained model
- Precision
- Precision-recall curve
- Prediction
- Prediction bias
- Predictive parity
- Predictive rate parity
- Preprocessing
- Prior belief
- Probabilistic regression model
- Proxy (sensitive attributes)
- Proxy labels
R
- Random forest
- Random policy
- Rank (ordinality)
- Rank (Tensor)
- Ranking
- Rater
- Re-ranking
- Recall
- Recommendation system
- Rectified Linear Unit (ReLU)
- Recurrent neural network
- Regression model
- Regularization
- Regularization rate
- Reinforcement learning (RL)
- ReLU
- Replay buffer
- Reporting bias
- Representation
- Return
- Reward
- Ridge regularization
- RNN
- ROC (receiver operating characteristic) Curve
- Root
- Root directory
- Root Mean Squared Error (RMSE)
- Rotational invariance
S
- Sampling bias
- Sampling with replacement
- SavedModel
- Saver
- Scalar
- Scaling
- Scikit-learn
- Scoring
- Selection bias
- Self-attention (also called self-attention layer)
- Self-supervised learning
- Self-training
- Semi-supervised learning
- Sensitive attribute
- Sentiment analysis
- Sequence model
- Sequence-to-sequence task
- Serving
- Shape (Tensor)
- Shrinkage
- Sigmoid function
- Similarity measure
- Size invariance
- Sketching
- Softmax
- Sparse feature
- Sparse representation
- Sparse vector
- Sparsity
- Spatial pooling
- Split
- Splitter
- Squared hinge loss
- Squared loss
- Staged training
- State
- State-action value function
- Static
- Static inference
- Stationarity
- Step
- Step size
- Stochastic gradient descent (SGD)
- Stride
- Structural risk minimization (SRM)
- Subsampling
- Summary
- Supervised machine learning
- Synthetic feature
T
- Tabular Q-learning
- Target
- Target network
- Temporal data
- Tensor
- Tensor Processing Unit (TPU)
- Tensor rank
- Tensor shape
- Tensor size
- TensorBoard
- TensorFlow
- TensorFlow Playground
- TensorFlow Serving
- Termination condition
- Test set
- Tf.Example
- Tf.keras
- Threshold (for decision trees)
- Time series analysis
- Timestep
- Token
- Tower
- TPU
- TPU chip
- TPU device
- TPU master
- TPU node
- TPU Pod
- TPU resource
- TPU slice
- TPU type
- TPU worker
- Trajectory
- Transfer learning
- Transformer
- Translational invariance
- Trigram