reinforcement learning statistical/computational complexity tradeoff underfit bias- variance tradeoff features hypothesis class blackbox double descent neural network supervised learning train data train error unsupervised learning test data test error clustering Python linear regression overfit regression classification optimization covariate shift labels reinforcement learning statistical/computational complexity tradeoff underfit bias- variance tradeoff features hypothesis class blackbox double descent neural network supervised learning train data train error unsupervised learning test data test error clustering Python linear regression overfit regression classification optimization covariate shift labels
(Print) Use this randomly generated list as your call list when playing the game. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.
B-reinforcement learning
O-statistical/computational complexity tradeoff
B-underfit
N-bias-variance tradeoff
I-features
G-hypothesis class
N-blackbox
G-double descent
O-neural network
B-supervised learning
I-train data
G-train error
I-unsupervised learning
N-test data
O-test error
N-clustering
I-Python
B-linear regression
I-overfit
G-regression
O-classification
O-optimization
G-covariate shift
B-labels