classification unsupervised learning supervised learning covariate shift features overfit bias- variance tradeoff test error train error regression train data hypothesis class linear regression statistical/computational complexity tradeoff optimization blackbox reinforcement learning test data underfit clustering labels double descent Python neural network classification unsupervised learning supervised learning covariate shift features overfit bias- variance tradeoff test error train error regression train data hypothesis class linear regression statistical/computational complexity tradeoff optimization blackbox reinforcement learning test data underfit clustering labels double descent Python neural network
(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.
O-classification
I-unsupervised learning
B-supervised learning
G-covariate shift
I-features
I-overfit
N-bias-variance tradeoff
O-test error
G-train error
G-regression
I-train data
G-hypothesis class
B-linear regression
O-statistical/computational complexity tradeoff
O-optimization
N-blackbox
B-reinforcement learning
N-test data
B-underfit
N-clustering
B-labels
G-double descent
I-Python
O-neural network