1. Methods used for the calibration in Supervised Learning

A) Platt Calibration
B) Isotonic Regression
C) Both
D) None of above



2. Successful applications of ML

A) Learning to recognize spoken words
B) Learning to drive an autonomous vehicle
C) Learning to classify new astronomical structures
D) All of the above



3. What kind of learning algorithm for 'Facial identities or facial expressions?

A) Prediction
B) Recognition Patterns
C) Generating Patterns
D) Recognizing Anomalies Answer



4. FIND-S algorithm ignores

A) Negative
B) Positive
C) Both
D) None of the above



5. A drawback of the FIND-S is that it assumes the consistency within the training set

A) TRUE
B) FALSE
C)
D)