Machine learning >> A Crash Course in Data Science
TOTAL POINTS 4
1.The lecture discussed two broad categories of machine learning (check all that apply):
1 point
Supervised learning
Unsupervised learning
2.Supervised machine learning algorithms focus on:
1 point
principal components.
prediction through prediction performance.
clustering without an outcome.
3.A way to obtain generalizability of a ML algorithm
1 point
use the same data for testing that was used to build the algorithm
test it on novel datasets
4.Traditional statistical approaches often differ from ML approaches by (check all that apply):
1 point
by often placing a higher priority on parameter interpretability and simplicity over prediction performance.
by focusing on superpopulation models.
by focusing on deep learning.
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