📚 node [[ai glossary]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/AI Glossary.md by @KGBicheno
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]]
- [[Accuracy]]
- [[Action]]
- [[Activation Function]]
- [[Active Learning]]
- [[Adagrad]]
- [[Agent]]
- [[Agglomerative Clustering]]
- [[Ar]]
- [[Area Under The Pr Curve]]
- [[Area Under The Roc Curve]]
- [[Artificial General Intelligence]]
- [[Artificial Intelligence]]
- [[Attribute]]
- [[Auc (Area Under The Roc Curve)]]
- [[Augmented Reality]]
- [[Automation Bias]]
- [[Average Precision]]
B
- [[Backpropagation]]
- [[Bag Of Words]]
- [[Baseline]]
- [[Batch]]
- [[Batch Normalization]]
- [[Batch Size]]
- [[Bayesian Neural Network]]
- [[Bellman Equation]]
- [[Bias (Ethics-Fairness)]]
- [[Bias (Math)]]
- [[Binary Classification]]
- [[Boosting]]
- [[Bounding Box]]
- [[Broadcasting]]
- [[Bucketing]]
C
- [[Calibration Layer]]
- [[Candidate Generation]]
- [[Candidate Sampling]]
- [[Categorical Data]]
- [[Centroid-Based Clustering]]
- [[Centroid]]
- [[Checkpoint]]
- [[Class-Imbalanced Dataset]]
- [[Class]]
- [[Classification Model]]
- [[Classification Threshold]]
- [[Clipping]]
- [[Cloud Tpu]]
- [[Clustering]]
- [[Co-Adaptation]]
- [[Collaborative Filtering]]
- [[Confirmation Bias]]
- [[Confusion Matrix]]
- [[Continuous Feature]]
- [[Convenience Sampling]]
- [[Convergence]]
- [[Convex Function]]
- [[Convex Optimization]]
- [[Convex Set]]
- [[Convolution]]
- [[Convolutional Filter]]
- [[Convolutional Layer]]
- [[Convolutional Neural Network]]
- [[Convolutional Operation]]
- [[Cost]]
- [[Counterfactual Fairness]]
- [[Coverage Bias]]
- [[Crash Blossom]]
- [[Critic]]
- [[Cross-Entropy]]
- [[Cross-Validation]]
- [[Custom Estimator]]
D
- [[Data Analysis]]
- [[Data Augmentation]]
- [[Data Set Or Dataset]]
- [[Dataframe]]
- [[Dataset Api (Tf.Data)]]
- [[Decision Boundary]]
- [[Decision Threshold]]
- [[Decision Tree]]
- [[Deep Model]]
- [[Deep Neural Network]]
- [[Deep Q-Network (Dqn)]]
- [[Demographic Parity]]
- [[Dense Feature]]
- [[Dense Layer]]
- [[Depth]]
- [[Depthwise Separable Convolutional Neural Network (Sepcnn)]]
- [[Device]]
- [[Dimension Reduction]]
- [[Dimensions]]
- [[Discrete Feature]]
- [[Discriminative Model]]
- [[Discriminator]]
- [[Disparate Impact]]
- [[Disparate Treatment]]
- [[Divisive Clustering]]
- [[Downsampling]]
- [[Dqn]]
- [[Dynamic Model]]
E
- [[Eager Execution]]
- [[Early Stopping]]
- [[Embedding Space]]
- [[Embeddings]]
- [[Empirical Risk Minimization (Erm)]]
- [[Ensemble]]
- [[Environment]]
- [[Episode]]
- [[Epoch]]
- [[Epsilon Greedy Policy]]
- [[Equality Of Opportunity]]
- [[Equalized Odds]]
- [[Estimator]]
- [[Example]]
- [[Experience Replay]]
- [[Experimenter'S Bias]]
- [[Exploding Gradient Problem]]
F
- [[Fairness Constraint]]
- [[Fairness Metric]]
- [[False Negative (Fn)]]
- [[False Positive (Fp)]]
- [[False Positive Rate (Fpr)]]
- [[Feature]]
- [[Feature Column (Tf.Feature Column)]]
- [[Feature Cross]]
- [[Feature Engineering]]
- [[Feature Extraction]]
- [[Feature Set]]
- [[Feature Spec]]
- [[Feature Vector]]
- [[Federated Learning]]
- [[Feedback Loop]]
- [[Feedforward Neural Network (Ffn)]]
- [[Few-Shot Learning]]
- [[Fine Tuning]]
- [[Forget Gate]]
- [[Full Softmax]]
- [[Fully Connected Layer]]
G
- [[Gan]]
- [[Generalization]]
- [[Generalization Curve]]
- [[Generalized Linear Model]]
- [[Generative Adversarial Network (Gan)]]
- [[Generative Model]]
- [[Generator]]
- [[Glossary]]
- [[Gradient]]
- [[Gradient Clipping]]
- [[Gradient Descent]]
- [[Graph]]
- [[Graph Execution]]
- [[Greedy Policy]]
- [[Ground Truth]]
- [[Group Attribution Bias]]
H
- [[Hashing]]
- [[Heuristic]]
- [[Hidden Layer]]
- [[Hierarchical Clustering]]
- [[Hinge Loss]]
- [[Holdout Data]]
- [[Hyperparameter]]
- [[Hyperplane]]
I
- [[I.I.D.]]
- [[Image Recognition]]
- [[Imbalanced Dataset]]
- [[Implicit Bias]]
- [[In-Group Bias]]
- [[Incompatibility Of Fairness Metrics]]
- [[Independently And Identically Distributed (I.I.D)]]
- [[Individual Fairness]]
- [[Inference]]
- [[Input Function]]
- [[Input Layer]]
- [[Instance]]
- [[Inter-Rater Agreement]]
- [[Interpretability]]
- [[Intersection Over Union (Iou)]]
- [[Iou]]
- [[Item Matrix]]
- [[Items]]
- [[Iteration]]
K
- [[K-Means]]
- [[K-Median]]
- [[Keras]]
- [[Kernel Support Vector Machines (Ksvms)]]
- [[Keypoints]]
L
- [[L1 Loss]]
- [[L1 Regularization]]
- [[L2 Loss]]
- [[L2 Regularization]]
- [[Label]]
- [[Labeled Example]]
- [[Lambda]]
- [[Landmarks]]
- [[Layer]]
- [[Layers Api (Tf.Layers)]]
- [[Learning Rate]]
- [[Least Squares Regression]]
- [[Linear Model]]
- [[Linear Regression]]
- [[Log-Odds]]
- [[Log Loss]]
- [[Logistic Regression]]
- [[Logits]]
- [[Long Short-Term Memory (Lstm)]]
- [[Loss]]
- [[Loss Curve]]
- [[Loss Surface]]
- [[Lstm]]
M
- [[Machine Learning]]
- [[Majority Class]]
- [[Markov Decision Process .mdp)]]
- [[Markov Property]]
- [[Matplotlib]]
- [[Matrix Factorization]]
- [[Mean Absolute Error (Mae)]]
- [[Mean Squared Error (Mse)]]
- [[Metric]]
- [[Metrics Api (Tf.Metrics)]]
- [[Mini-Batch]]
- [[Mini-Batch Stochastic Gradient Descent (Sgd)]]
- [[Minimax Loss]]
- [[Minority Class]]
- [[Ml]]
- [[Mnist]]
- [[Model]]
- [[Model Capacity]]
- [[Model Function]]
- [[Model Training]]
- [[Momentum]]
- [[Multi-Class Classification]]
- [[Multi-Class Logistic Regression]]
- [[Multinomial Classification]]
N
- [[N-Gram]]
- [[Nan Trap]]
- [[Natural Language Understanding]]
- [[Negative Class]]
- [[Neural Network]]
- [[Neuron]]
- [[Nlu]]
- [[Node (Neural Network)]]
- [[Node (Tensorflow Graph)]]
- [[Noise]]
- [[Non-Response Bias]]
- [[Normalization]]
- [[Numerical Data]]
- [[Numpy]]
O
- [[Objective]]
- [[Objective Function]]
- [[Offline Inference]]
- [[One-Hot Encoding]]
- [[One-Shot Learning]]
- [[One-Vs.-All]]
- [[Online Inference]]
- [[Operation (Op)]]
- [[Optimizer]]
- [[Out-Group Homogeneity Bias]]
- [[Outliers]]
- [[Output Layer]]
- [[Overfitting]]
P
- [[Pandas]]
- [[Parameter]]
- [[Parameter Server (Ps)]]
- [[Parameter Update]]
- [[Partial Derivative]]
- [[Participation Bias]]
- [[Partitioning Strategy]]
- [[Perceptron]]
- [[Performance]]
- [[Perplexity]]
- [[Pipeline]]
- [[Policy]]
- [[Polysemous]]
- [[Pooling]]
- [[Positive Class]]
- [[Post-Processing]]
- [[Pr Auc (Area Under The Pr Curve)]]
- [[Pre-Trained Model]]
- [[Precision-Recall Curve]]
- [[Precision]]
- [[Prediction]]
- [[Prediction Bias]]
- [[Predictive Parity]]
- [[Predictive Rate Parity]]
- [[Premade Estimator]]
- [[Preprocessing]]
- [[Prior Belief]]
- [[Proxy (Sensitive Attributes)]]
- [[Proxy Labels]]
Q
- [[Q-Function]]
- [[Q-Learning]]
- [[Quantile]]
- [[Quantile Bucketing]]
- [[Quantization]]
- [[Queue]]
R
- [[Random Forest]]
- [[Random Policy]]
- [[Rank (Ordinality)]]
- [[Rank (Tensor)]]
- [[Rater]]
- [[Re-Ranking]]
- [[Recall]]
- [[Recommendation System]]
- [[Rectified Linear Unit (Relu)]]
- [[Recurrent Neural Network]]
- [[Regression Model]]
- [[Regularization]]
- [[Regularization Rate]]
- [[Reinforcement Learning (Rl)]]
- [[Replay Buffer]]
- [[Reporting Bias]]
- [[Representation]]
- [[Return]]
- [[Reward]]
- [[Ridge Regularization]]
- [[Rnn]]
- [[Roc (Receiver Operating Characteristic) Curve]]
- [[Root Directory]]
- [[Root Mean Squared Error (Rmse)]]
- [[Rotational Invariance]]
S
- [[Sampling Bias]]
- [[Savedmodel]]
- [[Saver]]
- [[Scalar]]
- [[Scaling]]
- [[Scikit-Learn]]
- [[Scoring]]
- [[Selection Bias]]
- [[Semi-Supervised Learning]]
- [[Sensitive Attribute]]
- [[Sentiment Analysis]]
- [[Sequence Model]]
- [[Serving]]
- [[Session (Tf.Session)]]
- [[Shape (Tensor)]]
- [[Sigmoid Function]]
- [[Similarity Measure]]
- [[Size Invariance]]
- [[Sketching]]
- [[Softmax]]
- [[Sparse Feature]]
- [[Sparse Representation]]
- [[Sparse Vector]]
- [[Sparsity]]
- [[Spatial Pooling]]
- [[Squared Hinge Loss]]
- [[Squared Loss]]
- [[State-Action Value Function]]
- [[State]]
- [[Static Model]]
- [[Stationarity]]
- [[Step]]
- [[Step Size]]
- [[Stochastic Gradient Descent (Sgd)]]
- [[Stride]]
- [[Structural Risk Minimization (Srm)]]
- [[Subsampling]]
- [[Summary]]
- [[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]]
- [[Time Series Analysis]]
- [[Timestep]]
- [[Tower]]
- [[Tpu]]
- [[Tpu Chip]]
- [[Tpu Device]]
- [[Tpu Master]]
- [[Tpu Node]]
- [[Tpu Pod]]
- [[Tpu Resource]]
- [[Tpu Slice]]
- [[Tpu Type]]
- [[Tpu Worker]]
- [[Training]]
- [[Training Set]]
- [[Trajectory]]
- [[Transfer Learning]]
- [[Translational Invariance]]
- [[Trigram]]
- [[True Negative (Tn)]]
- [[True Positive (Tp)]]
- [[True Positive Rate (Tpr)]]
U
- [[Unawareness (To A Sensitive Attribute)]]
- [[Underfitting]]
- [[Unlabeled Example]]
- [[Unsupervised Machine Learning]]
- [[Upweighting]]
- [[User Matrix]]
V
- [[Validation]]
- [[Validation Set]]
- [[Vanishing Gradient Problem]]
W
- [[Wasserstein Loss]]
- [[Weight]]
- [[Weighted Alternating Least Squares (Wals)]]
- [[Wide Model]]
- [[Width]]
Go back to the [[Master Contents Page]]
📖 stoas
- public document at doc.anagora.org/ai-glossary
- video call at meet.jit.si/ai-glossary
⥱ context
← back
a b_testing
accuracy
action
activation function
active learning
adagrad
agent
agglomerative_clustering
ar
area_under_the_pr_curve
area_under_the_roc_curve
artificial_general_intelligence
artificial_intelligence
attribute
auc_(area_under_the_roc_curve)
augmented_reality
automation_bias
average_precision
backpropagation
bag_of_words
baseline
batch
batch_normalization
batch_size
bayesian_neural_network
bellman_equation
bias_(ethics fairness)
bias_(math)
binary_classification
boosting
bounding_box
broadcasting
bucketing
calibration_layer
candidate_generation
candidate_sampling
categorical_data
centroid
centroid based_clustering
checkpoint
class
class imbalanced_dataset
classification_model
classification_threshold
clipping
cloud services
cloud_tpu
clustering
co adaptation
collaborative_filtering
confirmation_bias
confusion_matrix
continuous_feature
convenience_sampling
convergence
convex_function
convex_optimization
convex_set
convolution
convolutional_filter
convolutional_layer
convolutional_neural_network
convolutional_operation
cost
counterfactual_fairness
coverage_bias
crash_blossom
critic
cross entropy
cross validation
custom_estimator
data_analysis
data_augmentation
data_set_or_dataset
dataframe
dataset_api_(tf data)
decision_boundary
decision_threshold
decision_tree
deep_model
deep_neural_network
deep_q network_(dqn)
demographic_parity
dense_feature
dense_layer
depth
depthwise_separable_convolutional_neural_network_(sepcnn)
device
dimension_reduction
dimensions
discrete_feature
discriminative_model
discriminator
disparate_impact
disparate_treatment
divisive_clustering
downsampling
dqn
dynamic_model
eager_execution
early_stopping
embedding_space
embeddings
empirical_risk_minimization_(erm)
ensemble
environment
episode
epoch
epsilon_greedy_policy
equality_of_opportunity
equalized_odds
estimator
example
experience_replay
experimenter s_bias
exploding_gradient_problem
fairness_constraint
fairness_metric
false_negative_(fn)
false_positive_(fp)
false_positive_rate_(fpr)
feature
feature_column_(tf feature_column)
feature_cross
feature_engineering
feature_extraction
feature_set
feature_spec
feature_vector
federated_learning
feedback_loop
feedforward_neural_network_(ffn)
few shot_learning
fine_tuning
forget_gate
full_softmax
fully_connected_layer
gan
generalization
generalization_curve
generalized_linear_model
generative_adversarial_network_(gan)
generative_model
generator
gradient
gradient_clipping
gradient_descent
graph
graph_execution
greedy_policy
ground_truth
group_attribution_bias
hashing
heuristic
hidden_layer
hierarchical_clustering
hinge_loss
holdout_data
hyperparameter
hyperplane
i i d
image_recognition
imbalanced_dataset
implicit_bias
in group_bias
incompatibility_of_fairness_metrics
independently_and_identically_distributed_(i i d)
individual_fairness
inference
input_function
input_layer
instance
inter rater_agreement
interpretability
intersection_over_union_(iou)
iou
item_matrix
items
iteration
k means
k median
keras
kernel_support_vector_machines_(ksvms)
keypoints
l1_loss
l1_regularization
l2_loss
l2_regularization
label
labeled_example
lambda
landmarks
layer
layers_api_(tf layers)
learning_rate
least_squares_regression
linear_model
linear_regression
log odds
log_loss
logistic_regression
logits
long_short term_memory_(lstm)
loss
loss_curve
loss_surface
lstm
machine_learning
majority_class
markov_property
matplotlib
matrix_factorization
mean_absolute_error_(mae)
mean_squared_error_(mse)
metric
metrics_api_(tf metrics)
mini batch
mini batch_stochastic_gradient_descent_(sgd)
minimax_loss
minority_class
ml
mnist
model
model_capacity
model_function
model_training
momentum
multi class_classification
multi class_logistic_regression
multinomial_classification
n gram
nan_trap
natural language generation
natural language processing
natural language understanding
negative_class
neural_network
neuron
nlu
node_(neural_network)
node_(tensorflow_graph)
noise
non response_bias
normalization
numerical_data
numpy
objective
objective_function
offline_inference
one hot_encoding
one shot_learning
one vs all
online_inference
operation_(op)
optimizer
out group_homogeneity_bias
outliers
output_layer
overfitting
pandas
parameter
parameter_server_(ps)
parameter_update
partial_derivative
participation_bias
partitioning_strategy
perceptron
performance
perplexity
pipeline
policy
polysemous
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
premade_estimator
preprocessing
prior_belief
proxy_(sensitive_attributes)
proxy_labels
q function
q learning
quantile
quantile_bucketing
quantization
queue
random_forest
random_policy
rank_(ordinality)
rank_(tensor)
rater
re ranking
recall
recommendation_system
rectified_linear_unit_(relu)
recurrent_neural_network
regression_model
regularization
regularization_rate
reinforcement_learning_(rl)
replay_buffer
reporting_bias
representation
return
reward
ridge_regularization
rnn
roc_(receiver_operating_characteristic)_curve
root_directory
root_mean_squared_error_(rmse)
rotational_invariance
sampling_bias
savedmodel
saver
scalar
scaling
scikit learn
scoring
selection_bias
semi supervised_learning
sensitive_attribute
sentiment_analysis
sequence_model
serving
session_(tf session)
shape_(tensor)
sigmoid_function
similarity_measure
size_invariance
sketching
softmax
sparse_feature
sparse_representation
sparse_vector
sparsity
spatial_pooling
squared_hinge_loss
squared_loss
state
state action_value_function
static_model
stationarity
step
step_size
stochastic_gradient_descent_(sgd)
stride
structural_risk_minimization_(srm)
subsampling
summary
synthetic_feature
tabular_q learning
target
target_network
temporal_data
tensor
tensor flow course master page
tensor_processing_unit_(tpu)
tensor_rank
tensor_shape
tensor_size
tensorboard
tensorflow
tensorflow_playground
tensorflow_serving
termination_condition
test_set
tf example
tf keras
time_series_analysis
timestep
tower
tpu
tpu_chip
tpu_device
tpu_master
tpu_node
tpu_pod
tpu_resource
tpu_slice
tpu_type
tpu_worker
training
training_set
trajectory
transfer_learning
translational_invariance
trigram
true_negative_(tn)
true_positive_(tp)
true_positive_rate_(tpr)
unawareness_(to_a_sensitive_attribute)
underfitting
unlabeled_example
unsupervised_machine_learning
upweighting
user_matrix
validation
validation_set
vanishing_gradient_problem
vendor lock in
wasserstein_loss
week 1 introduction
week 2 introduction
week 3 introduction
week 4 introduction
weight
weighted_alternating_least_squares_(wals)
wide_model
width
a b_testing
accuracy
action
activation function
active learning
adagrad
agent
agglomerative_clustering
ar
area_under_the_pr_curve
area_under_the_roc_curve
artificial_general_intelligence
artificial_intelligence
attribute
auc_(area_under_the_roc_curve)
augmented_reality
automation_bias
average_precision
backpropagation
bag_of_words
baseline
batch
batch_normalization
batch_size
bayesian_neural_network
bellman_equation
bias_(ethics fairness)
bias_(math)
binary_classification
boosting
bounding_box
broadcasting
bucketing
calibration_layer
candidate_generation
candidate_sampling
categorical_data
centroid
centroid based_clustering
checkpoint
class
class imbalanced_dataset
classification_model
classification_threshold
clipping
cloud services
cloud_tpu
clustering
co adaptation
collaborative_filtering
confirmation_bias
confusion_matrix
continuous_feature
convenience_sampling
convergence
convex_function
convex_optimization
convex_set
convolution
convolutional_filter
convolutional_layer
convolutional_neural_network
convolutional_operation
cost
counterfactual_fairness
coverage_bias
crash_blossom
critic
cross entropy
cross validation
custom_estimator
data_analysis
data_augmentation
data_set_or_dataset
dataframe
dataset_api_(tf data)
decision_boundary
decision_threshold
decision_tree
deep_model
deep_neural_network
deep_q network_(dqn)
demographic_parity
dense_feature
dense_layer
depth
depthwise_separable_convolutional_neural_network_(sepcnn)
device
dimension_reduction
dimensions
discrete_feature
discriminative_model
discriminator
disparate_impact
disparate_treatment
divisive_clustering
downsampling
dqn
dynamic_model
eager_execution
early_stopping
embedding_space
embeddings
empirical_risk_minimization_(erm)
ensemble
environment
episode
epoch
epsilon_greedy_policy
equality_of_opportunity
equalized_odds
estimator
example
experience_replay
experimenter s_bias
exploding_gradient_problem
fairness_constraint
fairness_metric
false_negative_(fn)
false_positive_(fp)
false_positive_rate_(fpr)
feature
feature_column_(tf feature_column)
feature_cross
feature_engineering
feature_extraction
feature_set
feature_spec
feature_vector
federated_learning
feedback_loop
feedforward_neural_network_(ffn)
few shot_learning
fine_tuning
forget_gate
full_softmax
fully_connected_layer
gan
generalization
generalization_curve
generalized_linear_model
generative_adversarial_network_(gan)
generative_model
generator
gradient
gradient_clipping
gradient_descent
graph
graph_execution
greedy_policy
ground_truth
group_attribution_bias
hashing
heuristic
hidden_layer
hierarchical_clustering
hinge_loss
holdout_data
hyperparameter
hyperplane
i i d
image_recognition
imbalanced_dataset
implicit_bias
in group_bias
incompatibility_of_fairness_metrics
independently_and_identically_distributed_(i i d)
individual_fairness
inference
input_function
input_layer
instance
inter rater_agreement
interpretability
intersection_over_union_(iou)
iou
item_matrix
items
iteration
k means
k median
keras
kernel_support_vector_machines_(ksvms)
keypoints
l1_loss
l1_regularization
l2_loss
l2_regularization
label
labeled_example
lambda
landmarks
layer
layers_api_(tf layers)
learning_rate
least_squares_regression
linear_model
linear_regression
log odds
log_loss
logistic_regression
logits
long_short term_memory_(lstm)
loss
loss_curve
loss_surface
lstm
machine_learning
majority_class
markov_property
matplotlib
matrix_factorization
mean_absolute_error_(mae)
mean_squared_error_(mse)
metric
metrics_api_(tf metrics)
mini batch
mini batch_stochastic_gradient_descent_(sgd)
minimax_loss
minority_class
ml
mnist
model
model_capacity
model_function
model_training
momentum
multi class_classification
multi class_logistic_regression
multinomial_classification
n gram
nan_trap
natural language generation
natural language processing
natural language understanding
negative_class
neural_network
neuron
nlu
node_(neural_network)
node_(tensorflow_graph)
noise
non response_bias
normalization
numerical_data
numpy
objective
objective_function
offline_inference
one hot_encoding
one shot_learning
one vs all
online_inference
operation_(op)
optimizer
out group_homogeneity_bias
outliers
output_layer
overfitting
pandas
parameter
parameter_server_(ps)
parameter_update
partial_derivative
participation_bias
partitioning_strategy
perceptron
performance
perplexity
pipeline
policy
polysemous
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
premade_estimator
preprocessing
prior_belief
proxy_(sensitive_attributes)
proxy_labels
q function
q learning
quantile
quantile_bucketing
quantization
queue
random_forest
random_policy
rank_(ordinality)
rank_(tensor)
rater
re ranking
recall
recommendation_system
rectified_linear_unit_(relu)
recurrent_neural_network
regression_model
regularization
regularization_rate
reinforcement_learning_(rl)
replay_buffer
reporting_bias
representation
return
reward
ridge_regularization
rnn
roc_(receiver_operating_characteristic)_curve
root_directory
root_mean_squared_error_(rmse)
rotational_invariance
sampling_bias
savedmodel
saver
scalar
scaling
scikit learn
scoring
selection_bias
semi supervised_learning
sensitive_attribute
sentiment_analysis
sequence_model
serving
session_(tf session)
shape_(tensor)
sigmoid_function
similarity_measure
size_invariance
sketching
softmax
sparse_feature
sparse_representation
sparse_vector
sparsity
spatial_pooling
squared_hinge_loss
squared_loss
state
state action_value_function
static_model
stationarity
step
step_size
stochastic_gradient_descent_(sgd)
stride
structural_risk_minimization_(srm)
subsampling
summary
synthetic_feature
tabular_q learning
target
target_network
temporal_data
tensor
tensor flow course master page
tensor_processing_unit_(tpu)
tensor_rank
tensor_shape
tensor_size
tensorboard
tensorflow
tensorflow_playground
tensorflow_serving
termination_condition
test_set
tf example
tf keras
time_series_analysis
timestep
tower
tpu
tpu_chip
tpu_device
tpu_master
tpu_node
tpu_pod
tpu_resource
tpu_slice
tpu_type
tpu_worker
training
training_set
trajectory
transfer_learning
translational_invariance
trigram
true_negative_(tn)
true_positive_(tp)
true_positive_rate_(tpr)
unawareness_(to_a_sensitive_attribute)
underfitting
unlabeled_example
unsupervised_machine_learning
upweighting
user_matrix
validation
validation_set
vanishing_gradient_problem
vendor lock in
wasserstein_loss
week 1 introduction
week 2 introduction
week 3 introduction
week 4 introduction
weight
weighted_alternating_least_squares_(wals)
wide_model
width
↑ pushing here
(none)
(none)
↓ pulling this
(none)
(none)
→ forward
a b_testing|a b testing
accuracy|accuracy
action|action
active learning|active learning
adagrad|adagrad
agent|agent
agglomerative_clustering|agglomerative clustering
ai glossary|glossary
area_under_the_pr_curve|area under the pr curve
area_under_the_roc_curve|area under the roc curve
artificial intelligence/introduction to ai/week 3 introduction/definitions/activation function|activation function
artificial intelligence/introduction to ai/week 3 introduction/definitions/pandas|pandas
artificial intelligence/introduction to ai/week 3 introduction/definitions/q learning|q learning
artificial_general_intelligence|artificial general intelligence
artificial_intelligence|artificial intelligence
ar|ar
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
backpropagation|backpropagation
bag_of_words|bag of words
baseline|baseline
batch_normalization|batch normalization
batch_size|batch size
batch|batch
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
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
classification_model|classification model
classification_threshold|classification threshold
class|class
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
convolutional_filter|convolutional filter
convolutional_layer|convolutional layer
convolutional_neural_network|convolutional neural network
convolutional_operation|convolutional operation
convolution|convolution
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
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
depthwise_separable_convolutional_neural_network_(sepcnn)|depthwise separable convolutional neural network (sepcnn)
depth|depth
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
eager_execution|eager execution
early_stopping|early stopping
economic indicators list
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
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_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
feature|feature
federated_learning|federated learning
feedback_loop|feedback loop
feedforward_neural_network_(ffn)|feedforward neural network (ffn)
feminist chatbot main page
few shot_learning|few shot learning
fine_tuning|fine tuning
forget_gate|forget gate
full_softmax|full softmax
fully_connected_layer|fully connected layer
gan|gan
generalization_curve|generalization curve
generalization|generalization
generalized_linear_model|generalized linear model
generative_adversarial_network_(gan)|generative adversarial network (gan)
generative_model|generative model
generator|generator
golem project page
gradient_clipping|gradient clipping
gradient_descent|gradient descent
gradient|gradient
graph_execution|graph execution
graph|graph
greedy_policy|greedy policy
ground_truth|ground truth
group_attribution_bias|group attribution bias
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 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 means|k means
k median|k median
keras|keras
kernel_support_vector_machines_(ksvms)|kernel support vector machines (ksvms)
keypoints|keypoints
l1_loss|l1 loss
l1_regularization|l1 regularization
l2_loss|l2 loss
l2_regularization|l2 regularization
labeled_example|labeled example
label|label
lambda|lambda
landmarks|landmarks
layers_api_(tf layers)|layers api (tf layers)
layer|layer
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_curve|loss curve
loss_surface|loss surface
loss|loss
lstm|lstm
machine_learning|machine learning
main ai page
majority_class|majority class
markov_decision_process_ mdp)|markov decision process mdp)
markov_property|markov property
master contents page
master of philosophy main page
matplotlib|matplotlib
matrix_factorization|matrix factorization
mean_absolute_error_(mae)|mean absolute error (mae)
mean_squared_error_(mse)|mean squared error (mse)
metrics_api_(tf metrics)|metrics api (tf metrics)
metric|metric
mini batch_stochastic_gradient_descent_(sgd)|mini batch stochastic gradient descent (sgd)
mini batch|mini batch
minimax_loss|minimax loss
minority_class|minority class
ml|ml
mnist|mnist
model_capacity|model capacity
model_function|model function
model_training|model training
model|model
momentum|momentum
multi class_classification|multi class classification
multi class_logistic_regression|multi class logistic regression
multinomial_classification|multinomial classification
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
objective_function|objective function
objective|objective
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
parameter_server_(ps)|parameter server (ps)
parameter_update|parameter update
parameter|parameter
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_bias|prediction bias
prediction|prediction
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 function|q function
quantile_bucketing|quantile bucketing
quantile|quantile
quantization|quantization
queue|queue
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_rate|regularization rate
regularization|regularization
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
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_size|step size
step|step
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
tabular_q learning|tabular q learning
target_network|target network
target|target
temporal_data|temporal data
tensor_processing_unit_(tpu)|tensor processing unit (tpu)
tensor_rank|tensor rank
tensor_shape|tensor shape
tensor_size|tensor size
tensorboard|tensorboard
tensorflow_playground|tensorflow playground
tensorflow_serving|tensorflow serving
tensorflow|tensorflow
tensor|tensor
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_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
tpu|tpu
training_set|training set
training|training
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)
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
validation_set|validation set
validation|validation
vanishing_gradient_problem|vanishing gradient problem
wasserstein_loss|wasserstein loss
week 1 introduction
week 2 introduction
week 3 introduction
weighted_alternating_least_squares_(wals)|weighted alternating least squares (wals)
weight|weight
wide_model|wide model
width|width
a b_testing|a b testing
accuracy|accuracy
action|action
active learning|active learning
adagrad|adagrad
agent|agent
agglomerative_clustering|agglomerative clustering
ai glossary|glossary
area_under_the_pr_curve|area under the pr curve
area_under_the_roc_curve|area under the roc curve
artificial intelligence/introduction to ai/week 3 introduction/definitions/activation function|activation function
artificial intelligence/introduction to ai/week 3 introduction/definitions/pandas|pandas
artificial intelligence/introduction to ai/week 3 introduction/definitions/q learning|q learning
artificial_general_intelligence|artificial general intelligence
artificial_intelligence|artificial intelligence
ar|ar
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
backpropagation|backpropagation
bag_of_words|bag of words
baseline|baseline
batch_normalization|batch normalization
batch_size|batch size
batch|batch
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
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
classification_model|classification model
classification_threshold|classification threshold
class|class
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
convolutional_filter|convolutional filter
convolutional_layer|convolutional layer
convolutional_neural_network|convolutional neural network
convolutional_operation|convolutional operation
convolution|convolution
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
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
depthwise_separable_convolutional_neural_network_(sepcnn)|depthwise separable convolutional neural network (sepcnn)
depth|depth
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
eager_execution|eager execution
early_stopping|early stopping
economic indicators list
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
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_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
feature|feature
federated_learning|federated learning
feedback_loop|feedback loop
feedforward_neural_network_(ffn)|feedforward neural network (ffn)
feminist chatbot main page
few shot_learning|few shot learning
fine_tuning|fine tuning
forget_gate|forget gate
full_softmax|full softmax
fully_connected_layer|fully connected layer
gan|gan
generalization_curve|generalization curve
generalization|generalization
generalized_linear_model|generalized linear model
generative_adversarial_network_(gan)|generative adversarial network (gan)
generative_model|generative model
generator|generator
golem project page
gradient_clipping|gradient clipping
gradient_descent|gradient descent
gradient|gradient
graph_execution|graph execution
graph|graph
greedy_policy|greedy policy
ground_truth|ground truth
group_attribution_bias|group attribution bias
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 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 means|k means
k median|k median
keras|keras
kernel_support_vector_machines_(ksvms)|kernel support vector machines (ksvms)
keypoints|keypoints
l1_loss|l1 loss
l1_regularization|l1 regularization
l2_loss|l2 loss
l2_regularization|l2 regularization
labeled_example|labeled example
label|label
lambda|lambda
landmarks|landmarks
layers_api_(tf layers)|layers api (tf layers)
layer|layer
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_curve|loss curve
loss_surface|loss surface
loss|loss
lstm|lstm
machine_learning|machine learning
main ai page
majority_class|majority class
markov_decision_process_ mdp)|markov decision process mdp)
markov_property|markov property
master contents page
master of philosophy main page
matplotlib|matplotlib
matrix_factorization|matrix factorization
mean_absolute_error_(mae)|mean absolute error (mae)
mean_squared_error_(mse)|mean squared error (mse)
metrics_api_(tf metrics)|metrics api (tf metrics)
metric|metric
mini batch_stochastic_gradient_descent_(sgd)|mini batch stochastic gradient descent (sgd)
mini batch|mini batch
minimax_loss|minimax loss
minority_class|minority class
ml|ml
mnist|mnist
model_capacity|model capacity
model_function|model function
model_training|model training
model|model
momentum|momentum
multi class_classification|multi class classification
multi class_logistic_regression|multi class logistic regression
multinomial_classification|multinomial classification
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
objective_function|objective function
objective|objective
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
parameter_server_(ps)|parameter server (ps)
parameter_update|parameter update
parameter|parameter
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_bias|prediction bias
prediction|prediction
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 function|q function
quantile_bucketing|quantile bucketing
quantile|quantile
quantization|quantization
queue|queue
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_rate|regularization rate
regularization|regularization
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
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_size|step size
step|step
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
tabular_q learning|tabular q learning
target_network|target network
target|target
temporal_data|temporal data
tensor_processing_unit_(tpu)|tensor processing unit (tpu)
tensor_rank|tensor rank
tensor_shape|tensor shape
tensor_size|tensor size
tensorboard|tensorboard
tensorflow_playground|tensorflow playground
tensorflow_serving|tensorflow serving
tensorflow|tensorflow
tensor|tensor
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_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
tpu|tpu
training_set|training set
training|training
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)
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
validation_set|validation set
validation|validation
vanishing_gradient_problem|vanishing gradient problem
wasserstein_loss|wasserstein loss
week 1 introduction
week 2 introduction
week 3 introduction
weighted_alternating_least_squares_(wals)|weighted alternating least squares (wals)
weight|weight
wide_model|wide model
width|width
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