# AI Glossary File Index

See the [[Main AI Page]] or the [[Master of Philosophy - Main Page]].

Relevant to:
- [[Week 1 - Introduction]]
- [[Week 2 - Introduction]]
- [[Week 3 - Introduction]]
- [[Feminist Chatbot Main Page]]
- [[GOLEM Project Page]]
- [[Economic Indicators List]]

## A

 - [[A-B_Testing|A-B Testing]]
 - [[Accuracy|Accuracy]]
 - [[Action|Action]]
 - [[Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Activation Function|Activation Function]]
 - [[Active Learning|Active Learning]]
 - [[Adagrad|Adagrad]]
 - [[Agent|Agent]]
 - [[Agglomerative_Clustering|Agglomerative Clustering]]
 - [[Ar|Ar]]
 - [[Area_Under_The_Pr_Curve|Area Under The Pr Curve]]
 - [[Area_Under_The_Roc_Curve|Area Under The Roc Curve]]
 - [[Artificial_General_Intelligence|Artificial General Intelligence]]
 - [[Artificial_Intelligence|Artificial Intelligence]]
 - [[Attribute|Attribute]]
 - [[Auc_(Area_Under_The_Roc_Curve)|Auc (Area Under The Roc Curve)]]
 - [[Augmented_Reality|Augmented Reality]]
 - [[Automation_Bias|Automation Bias]]
 - [[Average_Precision|Average Precision]]

## B

 - [[Backpropagation|Backpropagation]]
 - [[Bag_Of_Words|Bag Of Words]]
 - [[Baseline|Baseline]]
 - [[Batch|Batch]]
 - [[Batch_Normalization|Batch Normalization]]
 - [[Batch_Size|Batch Size]]
 - [[Bayesian_Neural_Network|Bayesian Neural Network]]
 - [[Bellman_Equation|Bellman Equation]]
 - [[Bias_(Ethics-Fairness)|Bias (Ethics-Fairness)]]
 - [[Bias_(Math)|Bias (Math)]]
 - [[Binary_Classification|Binary Classification]]
 - [[Boosting|Boosting]]
 - [[Bounding_Box|Bounding Box]]
 - [[Broadcasting|Broadcasting]]
 - [[Bucketing|Bucketing]]

## C

 - [[Calibration_Layer|Calibration Layer]]
 - [[Candidate_Generation|Candidate Generation]]
 - [[Candidate_Sampling|Candidate Sampling]]
 - [[Categorical_Data|Categorical Data]]
 - [[Centroid-Based_Clustering|Centroid-Based Clustering]]
 - [[Centroid|Centroid]]
 - [[Checkpoint|Checkpoint]]
 - [[Class-Imbalanced_Dataset|Class-Imbalanced Dataset]]
 - [[Class|Class]]
 - [[Classification_Model|Classification Model]]
 - [[Classification_Threshold|Classification Threshold]]
 - [[Clipping|Clipping]]
 - [[Cloud_Tpu|Cloud Tpu]]
 - [[Clustering|Clustering]]
 - [[Co-Adaptation|Co-Adaptation]]
 - [[Collaborative_Filtering|Collaborative Filtering]]
 - [[Confirmation_Bias|Confirmation Bias]]
 - [[Confusion_Matrix|Confusion Matrix]]
 - [[Continuous_Feature|Continuous Feature]]
 - [[Convenience_Sampling|Convenience Sampling]]
 - [[Convergence|Convergence]]
 - [[Convex_Function|Convex Function]]
 - [[Convex_Optimization|Convex Optimization]]
 - [[Convex_Set|Convex Set]]
 - [[Convolution|Convolution]]
 - [[Convolutional_Filter|Convolutional Filter]]
 - [[Convolutional_Layer|Convolutional Layer]]
 - [[Convolutional_Neural_Network|Convolutional Neural Network]]
 - [[Convolutional_Operation|Convolutional Operation]]
 - [[Cost|Cost]]
 - [[Counterfactual_Fairness|Counterfactual Fairness]]
 - [[Coverage_Bias|Coverage Bias]]
 - [[Crash_Blossom|Crash Blossom]]
 - [[Critic|Critic]]
 - [[Cross-Entropy|Cross-Entropy]]
 - [[Cross-Validation|Cross-Validation]]
 - [[Custom_Estimator|Custom Estimator]]

## D

 - [[Data_Analysis|Data Analysis]]
 - [[Data_Augmentation|Data Augmentation]]
 - [[Data_Set_Or_Dataset|Data Set Or Dataset]]
 - [[Dataframe|Dataframe]]
 - [[Dataset_Api_(Tf.Data)|Dataset Api (Tf.Data)]]
 - [[Decision_Boundary|Decision Boundary]]
 - [[Decision_Threshold|Decision Threshold]]
 - [[Decision_Tree|Decision Tree]]
 - [[Deep_Model|Deep Model]]
 - [[Deep_Neural_Network|Deep Neural Network]]
 - [[Deep_Q-Network_(Dqn)|Deep Q-Network (Dqn)]]
 - [[Demographic_Parity|Demographic Parity]]
 - [[Dense_Feature|Dense Feature]]
 - [[Dense_Layer|Dense Layer]]
 - [[Depth|Depth]]
 - [[Depthwise_Separable_Convolutional_Neural_Network_(Sepcnn)|Depthwise Separable Convolutional Neural Network (Sepcnn)]]
 - [[Device|Device]]
 - [[Dimension_Reduction|Dimension Reduction]]
 - [[Dimensions|Dimensions]]
 - [[Discrete_Feature|Discrete Feature]]
 - [[Discriminative_Model|Discriminative Model]]
 - [[Discriminator|Discriminator]]
 - [[Disparate_Impact|Disparate Impact]]
 - [[Disparate_Treatment|Disparate Treatment]]
 - [[Divisive_Clustering|Divisive Clustering]]
 - [[Downsampling|Downsampling]]
 - [[Dqn|Dqn]]
 - [[Dynamic_Model|Dynamic Model]]

## E

 - [[Eager_Execution|Eager Execution]]
 - [[Early_Stopping|Early Stopping]]
 - [[Embedding_Space|Embedding Space]]
 - [[Embeddings|Embeddings]]
 - [[Empirical_Risk_Minimization_(Erm)|Empirical Risk Minimization (Erm)]]
 - [[Ensemble|Ensemble]]
 - [[Environment|Environment]]
 - [[Episode|Episode]]
 - [[Epoch|Epoch]]
 - [[Epsilon_Greedy_Policy|Epsilon Greedy Policy]]
 - [[Equality_Of_Opportunity|Equality Of Opportunity]]
 - [[Equalized_Odds|Equalized Odds]]
 - [[Estimator|Estimator]]
 - [[Example|Example]]
 - [[Experience_Replay|Experience Replay]]
 - [[Experimenter'S_Bias|Experimenter'S Bias]]
 - [[Exploding_Gradient_Problem|Exploding Gradient Problem]]

## F

 - [[Fairness_Constraint|Fairness Constraint]]
 - [[Fairness_Metric|Fairness Metric]]
 - [[False_Negative_(Fn)|False Negative (Fn)]]
 - [[False_Positive_(Fp)|False Positive (Fp)]]
 - [[False_Positive_Rate_(Fpr)|False Positive Rate (Fpr)]]
 - [[Feature|Feature]]
 - [[Feature_Column_(Tf.Feature_Column)|Feature Column (Tf.Feature Column)]]
 - [[Feature_Cross|Feature Cross]]
 - [[Feature_Engineering|Feature Engineering]]
 - [[Feature_Extraction|Feature Extraction]]
 - [[Feature_Set|Feature Set]]
 - [[Feature_Spec|Feature Spec]]
 - [[Feature_Vector|Feature Vector]]
 - [[Federated_Learning|Federated Learning]]
 - [[Feedback_Loop|Feedback Loop]]
 - [[Feedforward_Neural_Network_(Ffn)|Feedforward Neural Network (Ffn)]]
 - [[Few-Shot_Learning|Few-Shot Learning]]
 - [[Fine_Tuning|Fine Tuning]]
 - [[Forget_Gate|Forget Gate]]
 - [[Full_Softmax|Full Softmax]]
 - [[Fully_Connected_Layer|Fully Connected Layer]]

## G

 - [[Gan|Gan]]
 - [[Generalization|Generalization]]
 - [[Generalization_Curve|Generalization Curve]]
 - [[Generalized_Linear_Model|Generalized Linear Model]]
 - [[Generative_Adversarial_Network_(Gan)|Generative Adversarial Network (Gan)]]
 - [[Generative_Model|Generative Model]]
 - [[Generator|Generator]]
 - [[AI Glossary|Glossary]]
 - [[Gradient|Gradient]]
 - [[Gradient_Clipping|Gradient Clipping]]
 - [[Gradient_Descent|Gradient Descent]]
 - [[Graph|Graph]]
 - [[Graph_Execution|Graph Execution]]
 - [[Greedy_Policy|Greedy Policy]]
 - [[Ground_Truth|Ground Truth]]
 - [[Group_Attribution_Bias|Group Attribution Bias]]

## H

 - [[Hashing|Hashing]]
 - [[Heuristic|Heuristic]]
 - [[Hidden_Layer|Hidden Layer]]
 - [[Hierarchical_Clustering|Hierarchical Clustering]]
 - [[Hinge_Loss|Hinge Loss]]
 - [[Holdout_Data|Holdout Data]]
 - [[Hyperparameter|Hyperparameter]]
 - [[Hyperplane|Hyperplane]]

## I

 - [[I.I.D.|I.I.D.]]
 - [[Image_Recognition|Image Recognition]]
 - [[Imbalanced_Dataset|Imbalanced Dataset]]
 - [[Implicit_Bias|Implicit Bias]]
 - [[In-Group_Bias|In-Group Bias]]
 - [[Incompatibility_Of_Fairness_Metrics|Incompatibility Of Fairness Metrics]]
 - [[Independently_And_Identically_Distributed_(I.I.D)|Independently And Identically Distributed (I.I.D)]]
 - [[Individual_Fairness|Individual Fairness]]
 - [[Inference|Inference]]
 - [[Input_Function|Input Function]]
 - [[Input_Layer|Input Layer]]
 - [[Instance|Instance]]
 - [[Inter-Rater_Agreement|Inter-Rater Agreement]]
 - [[Interpretability|Interpretability]]
 - [[Intersection_Over_Union_(Iou)|Intersection Over Union (Iou)]]
 - [[Iou|Iou]]
 - [[Item_Matrix|Item Matrix]]
 - [[Items|Items]]
 - [[Iteration|Iteration]]

## K

 - [[K-Means|K-Means]]
 - [[K-Median|K-Median]]
 - [[Keras|Keras]]
 - [[Kernel_Support_Vector_Machines_(Ksvms)|Kernel Support Vector Machines (Ksvms)]]
 - [[Keypoints|Keypoints]]

## L

 - [[L1_Loss|L1 Loss]]
 - [[L1_Regularization|L1 Regularization]]
 - [[L2_Loss|L2 Loss]]
 - [[L2_Regularization|L2 Regularization]]
 - [[Label|Label]]
 - [[Labeled_Example|Labeled Example]]
 - [[Lambda|Lambda]]
 - [[Landmarks|Landmarks]]
 - [[Layer|Layer]]
 - [[Layers_Api_(Tf.Layers)|Layers Api (Tf.Layers)]]
 - [[Learning_Rate|Learning Rate]]
 - [[Least_Squares_Regression|Least Squares Regression]]
 - [[Linear_Model|Linear Model]]
 - [[Linear_Regression|Linear Regression]]
 - [[Log-Odds|Log-Odds]]
 - [[Log_Loss|Log Loss]]
 - [[Logistic_Regression|Logistic Regression]]
 - [[Logits|Logits]]
 - [[Long_Short-Term_Memory_(Lstm)|Long Short-Term Memory (Lstm)]]
 - [[Loss|Loss]]
 - [[Loss_Curve|Loss Curve]]
 - [[Loss_Surface|Loss Surface]]
 - [[Lstm|Lstm]]

## M

 - [[Machine_Learning|Machine Learning]]
 - [[Majority_Class|Majority Class]]
 - [[Markov_Decision_Process_.mdp)|Markov Decision Process .mdp)]]
 - [[Markov_Property|Markov Property]]
 - [[Matplotlib|Matplotlib]]
 - [[Matrix_Factorization|Matrix Factorization]]
 - [[Mean_Absolute_Error_(Mae)|Mean Absolute Error (Mae)]]
 - [[Mean_Squared_Error_(Mse)|Mean Squared Error (Mse)]]
 - [[Metric|Metric]]
 - [[Metrics_Api_(Tf.Metrics)|Metrics Api (Tf.Metrics)]]
 - [[Mini-Batch|Mini-Batch]]
 - [[Mini-Batch_Stochastic_Gradient_Descent_(Sgd)|Mini-Batch Stochastic Gradient Descent (Sgd)]]
 - [[Minimax_Loss|Minimax Loss]]
 - [[Minority_Class|Minority Class]]
 - [[Ml|Ml]]
 - [[Mnist|Mnist]]
 - [[Model|Model]]
 - [[Model_Capacity|Model Capacity]]
 - [[Model_Function|Model Function]]
 - [[Model_Training|Model Training]]
 - [[Momentum|Momentum]]
 - [[Multi-Class_Classification|Multi-Class Classification]]
 - [[Multi-Class_Logistic_Regression|Multi-Class Logistic Regression]]
 - [[Multinomial_Classification|Multinomial Classification]]

## N

 - [[N-Gram|N-Gram]]
 - [[Nan_Trap|Nan Trap]]
 - [[Natural Language Understanding|Natural Language Understanding]]
 - [[Negative_Class|Negative Class]]
 - [[Neural_Network|Neural Network]]
 - [[Neuron|Neuron]]
 - [[Nlu|Nlu]]
 - [[Node_(Neural_Network)|Node (Neural Network)]]
 - [[Node_(Tensorflow_Graph)|Node (Tensorflow Graph)]]
 - [[Noise|Noise]]
 - [[Non-Response_Bias|Non-Response Bias]]
 - [[Normalization|Normalization]]
 - [[Numerical_Data|Numerical Data]]
 - [[Numpy|Numpy]]

## O

 - [[Objective|Objective]]
 - [[Objective_Function|Objective Function]]
 - [[Offline_Inference|Offline Inference]]
 - [[One-Hot_Encoding|One-Hot Encoding]]
 - [[One-Shot_Learning|One-Shot Learning]]
 - [[One-Vs.-All|One-Vs.-All]]
 - [[Online_Inference|Online Inference]]
 - [[Operation_(Op)|Operation (Op)]]
 - [[Optimizer|Optimizer]]
 - [[Out-Group_Homogeneity_Bias|Out-Group Homogeneity Bias]]
 - [[Outliers|Outliers]]
 - [[Output_Layer|Output Layer]]
 - [[Overfitting|Overfitting]]

## P

 - [[Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Pandas|Pandas]]
 - [[Parameter|Parameter]]
 - [[Parameter_Server_(Ps)|Parameter Server (Ps)]]
 - [[Parameter_Update|Parameter Update]]
 - [[Partial_Derivative|Partial Derivative]]
 - [[Participation_Bias|Participation Bias]]
 - [[Partitioning_Strategy|Partitioning Strategy]]
 - [[Perceptron|Perceptron]]
 - [[Performance|Performance]]
 - [[Perplexity|Perplexity]]
 - [[Pipeline|Pipeline]]
 - [[Policy|Policy]]
 - [[Polysemous]]
 - [[Pooling|Pooling]]
 - [[Positive_Class|Positive Class]]
 - [[Post-Processing|Post-Processing]]
 - [[Pr_Auc_(Area_Under_The_Pr_Curve)|Pr Auc (Area Under The Pr Curve)]]
 - [[Pre-Trained_Model|Pre-Trained Model]]
 - [[Precision-Recall_Curve|Precision-Recall Curve]]
 - [[Precision|Precision]]
 - [[Prediction|Prediction]]
 - [[Prediction_Bias|Prediction Bias]]
 - [[Predictive_Parity|Predictive Parity]]
 - [[Predictive_Rate_Parity|Predictive Rate Parity]]
 - [[Premade_Estimator|Premade Estimator]]
 - [[Preprocessing|Preprocessing]]
 - [[Prior_Belief|Prior Belief]]
 - [[Proxy_(Sensitive_Attributes)|Proxy (Sensitive Attributes)]]
 - [[Proxy_Labels|Proxy Labels]]

## Q

 - [[Q-Function|Q-Function]]
 - [[Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Q-Learning|Q-Learning]]
 - [[Quantile|Quantile]]
 - [[Quantile_Bucketing|Quantile Bucketing]]
 - [[Quantization|Quantization]]
 - [[Queue|Queue]]

## R

 - [[Random_Forest|Random Forest]]
 - [[Random_Policy|Random Policy]]
 - [[Rank_(Ordinality)|Rank (Ordinality)]]
 - [[Rank_(Tensor)|Rank (Tensor)]]
 - [[Rater|Rater]]
 - [[Re-Ranking|Re-Ranking]]
 - [[Recall|Recall]]
 - [[Recommendation_System|Recommendation System]]
 - [[Rectified_Linear_Unit_(Relu)|Rectified Linear Unit (Relu)]]
 - [[Recurrent_Neural_Network|Recurrent Neural Network]]
 - [[Regression_Model|Regression Model]]
 - [[Regularization|Regularization]]
 - [[Regularization_Rate|Regularization Rate]]
 - [[Reinforcement_Learning_(Rl)|Reinforcement Learning (Rl)]]
 - [[Replay_Buffer|Replay Buffer]]
 - [[Reporting_Bias|Reporting Bias]]
 - [[Representation|Representation]]
 - [[Return|Return]]
 - [[Reward|Reward]]
 - [[Ridge_Regularization|Ridge Regularization]]
 - [[Rnn|Rnn]]
 - [[Roc_(Receiver_Operating_Characteristic)_Curve|Roc (Receiver Operating Characteristic) Curve]]
 - [[Root_Directory|Root Directory]]
 - [[Root_Mean_Squared_Error_(Rmse)|Root Mean Squared Error (Rmse)]]
 - [[Rotational_Invariance|Rotational Invariance]]

## S

 - [[Sampling_Bias|Sampling Bias]]
 - [[Savedmodel|Savedmodel]]
 - [[Saver|Saver]]
 - [[Scalar|Scalar]]
 - [[Scaling|Scaling]]
 - [[Scikit-Learn|Scikit-Learn]]
 - [[Scoring|Scoring]]
 - [[Selection_Bias|Selection Bias]]
 - [[Semi-Supervised_Learning|Semi-Supervised Learning]]
 - [[Sensitive_Attribute|Sensitive Attribute]]
 - [[Sentiment_Analysis|Sentiment Analysis]]
 - [[Sequence_Model|Sequence Model]]
 - [[Serving|Serving]]
 - [[Session_(Tf.Session)|Session (Tf.Session)]]
 - [[Shape_(Tensor)|Shape (Tensor)]]
 - [[Sigmoid_Function|Sigmoid Function]]
 - [[Similarity_Measure|Similarity Measure]]
 - [[Size_Invariance|Size Invariance]]
 - [[Sketching|Sketching]]
 - [[Softmax|Softmax]]
 - [[Sparse_Feature|Sparse Feature]]
 - [[Sparse_Representation|Sparse Representation]]
 - [[Sparse_Vector|Sparse Vector]]
 - [[Sparsity|Sparsity]]
 - [[Spatial_Pooling|Spatial Pooling]]
 - [[Squared_Hinge_Loss|Squared Hinge Loss]]
 - [[Squared_Loss|Squared Loss]]
 - [[State-Action_Value_Function|State-Action Value Function]]
 - [[State|State]]
 - [[Static_Model|Static Model]]
 - [[Stationarity|Stationarity]]
 - [[Step|Step]]
 - [[Step_Size|Step Size]]
 - [[Stochastic_Gradient_Descent_(Sgd)|Stochastic Gradient Descent (Sgd)]]
 - [[Stride|Stride]]
 - [[Structural_Risk_Minimization_(Srm)|Structural Risk Minimization (Srm)]]
 - [[Subsampling|Subsampling]]
 - [[Summary|Summary]]
 - [[Synthetic_Feature|Synthetic Feature]]

## T

 - [[Tabular_Q-Learning|Tabular Q-Learning]]
 - [[Target|Target]]
 - [[Target_Network|Target Network]]
 - [[Temporal_Data|Temporal Data]]
 - [[Tensor|Tensor]]
 - [[Tensor_Processing_Unit_(Tpu)|Tensor Processing Unit (Tpu)]]
 - [[Tensor_Rank|Tensor Rank]]
 - [[Tensor_Shape|Tensor Shape]]
 - [[Tensor_Size|Tensor Size]]
 - [[Tensorboard|Tensorboard]]
 - [[Tensorflow|Tensorflow]]
 - [[Tensorflow_Playground|Tensorflow Playground]]
 - [[Tensorflow_Serving|Tensorflow Serving]]
 - [[Termination_Condition|Termination Condition]]
 - [[Test_Set|Test Set]]
 - [[Tf.Example|Tf.Example]]
 - [[Tf.Keras|Tf.Keras]]
 - [[Time_Series_Analysis|Time Series Analysis]]
 - [[Timestep|Timestep]]
 - [[Tower|Tower]]
 - [[Tpu|Tpu]]
 - [[Tpu_Chip|Tpu Chip]]
 - [[Tpu_Device|Tpu Device]]
 - [[Tpu_Master|Tpu Master]]
 - [[Tpu_Node|Tpu Node]]
 - [[Tpu_Pod|Tpu Pod]]
 - [[Tpu_Resource|Tpu Resource]]
 - [[Tpu_Slice|Tpu Slice]]
 - [[Tpu_Type|Tpu Type]]
 - [[Tpu_Worker|Tpu Worker]]
 - [[Training|Training]]
 - [[Training_Set|Training Set]]
 - [[Trajectory|Trajectory]]
 - [[Transfer_Learning|Transfer Learning]]
 - [[Translational_Invariance|Translational Invariance]]
 - [[Trigram|Trigram]]
 - [[True_Negative_(Tn)|True Negative (Tn)]]
 - [[True_Positive_(Tp)|True Positive (Tp)]]
 - [[True_Positive_Rate_(Tpr)|True Positive Rate (Tpr)]]

## U

 - [[Unawareness_(To_A_Sensitive_Attribute)|Unawareness (To A Sensitive Attribute)]]
 - [[Underfitting|Underfitting]]
 - [[Unlabeled_Example|Unlabeled Example]]
 - [[Unsupervised_Machine_Learning|Unsupervised Machine Learning]]
 - [[Upweighting|Upweighting]]
 - [[User_Matrix|User Matrix]]

## V

 - [[Validation|Validation]]
 - [[Validation_Set|Validation Set]]
 - [[Vanishing_Gradient_Problem|Vanishing Gradient Problem]]

## W

 - [[Wasserstein_Loss|Wasserstein Loss]]
 - [[Weight|Weight]]
 - [[Weighted_Alternating_Least_Squares_(Wals)|Weighted Alternating Least Squares (Wals)]]
 - [[Wide_Model|Wide Model]]
 - [[Width|Width]]

Go back to the [[Master Contents Page]]