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]]

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