supervisedlearninglinearregressionmodelclassificationOccam'srazortrainerrorbias-variancetradeoffGauss-MarkovtheoremreinforcementlearningunsupervisedlearningtraindataPythonclusteringresidualstesterrorunderfittingoverfittingfeaturestestdataconfidenceintervalsdoubledescentblackboxlearningalgorithmlabelsRsquaredmetricsupervisedlearninglinearregressionmodelclassificationOccam'srazortrainerrorbias-variancetradeoffGauss-MarkovtheoremreinforcementlearningunsupervisedlearningtraindataPythonclusteringresidualstesterrorunderfittingoverfittingfeaturestestdataconfidenceintervalsdoubledescentblackboxlearningalgorithmlabelsRsquaredmetric

Machine Learning - Call List

(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.


1
B
2
N
3
N
4
I
5
N
6
O
7
G
8
I
9
O
10
G
11
B
12
B
13
G
14
I
15
O
16
I
17
G
18
N
19
O
20
I
21
B
22
G
23
B
24
O
  1. B-supervised learning
  2. N-linear regression model
  3. N-classification
  4. I-Occam's razor
  5. N-train error
  6. O-bias-variance tradeoff
  7. G-Gauss-Markov theorem
  8. I-reinforcement learning
  9. O-unsupervised learning
  10. G-train data
  11. B-Python
  12. B-clustering
  13. G-residuals
  14. I-test error
  15. O-underfitting
  16. I-overfitting
  17. G-features
  18. N-test data
  19. O-confidence intervals
  20. I-double descent
  21. B-blackbox
  22. G-learning algorithm
  23. B-labels
  24. O-R squared metric