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AWS Certified Machine Learning - Specialty Certification - Part 15
1. For the analysis of ML algorithms, we need
A) Computational learning theory
B) Statistical learning theory
C) Both A & B
D) None of these
2. What are the difficulties with k-nearest neighbour algorithms?
A) Calculate the distance of the test case from all training cases
B) Curse of dimensionality
C) Both A & B
D) None of these
3. PNN/GRNN networks have one neuron for each point in the training file, While RBF network have a variable number of neurons that is usually
A) less than the number of training
B) greater than the number of training points
C) equal to the number of training points
D) None of these
4. When would the genetic algorithm terminate?
A) Maximum number of generations has been produced
B) Satisfactory fitness level has been reached for the
C) Both A & B
D) None of these
5. ______is any predicate (or its negation) applied to any set of terms.
A) Literal
B) Null
C) Clause
D) None of these
1. Right Answer: C
Explanation:
2. Right Answer: C
Explanation:
3. Right Answer: A
Explanation:
4. Right Answer: C
Explanation:
5. Right Answer: A
Explanation:
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