Unit I (B)
The
Machine Learning Landscape
1. 7.
Main Challenges of Machine Learning
8.
Insufficient Quantity of Training Data
9.
Nonrepresentative Training Data
10.
Poor-Quality Data
11.
Irrelevant Features
12.
Overfitting the Training Data
13.
Underfitting the Training Data
14.
Stepping Back
15.
Testing and Validating
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