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AWS Certified Machine Learning - Specialty Certification - Part 24
1. What is/are the problem solving methods for RL?
A) Dynamic programming
B) Monte Carlo Methods
C) Temporal-difference learning
D) All of these
2. A Neural Network can answer
A) For Loop questions
B) what-if questions
C) IF-The-Else Analysis Questions
D) None of these
3. How the compactness of the Bayesian network can be described?
A) Locally structured
B) Fully structured
C) Partial structure
D) All of the above
4. Which among the following is not a necessary feature of a reinforcement learning solution to a learning problem?
A) exploration versus exploitation dilemma
B) trial and error approach to learning
C) learning based on rewards
D) representation of the problem as a Markov Decision Process
5. Common classes of problems in machine learning is
A) Classification
B) Clustering
C) Regression
D) All of these
A) Dynamic programming
B) Monte Carlo Methods
C) Temporal-difference learning
D) All of these
2. A Neural Network can answer
A) For Loop questions
B) what-if questions
C) IF-The-Else Analysis Questions
D) None of these
3. How the compactness of the Bayesian network can be described?
A) Locally structured
B) Fully structured
C) Partial structure
D) All of the above
4. Which among the following is not a necessary feature of a reinforcement learning solution to a learning problem?
A) exploration versus exploitation dilemma
B) trial and error approach to learning
C) learning based on rewards
D) representation of the problem as a Markov Decision Process
5. Common classes of problems in machine learning is
A) Classification
B) Clustering
C) Regression
D) All of these
1. Right Answer: D
Explanation:
2. Right Answer: B
Explanation:
3. Right Answer: A
Explanation:
4. Right Answer: D
Explanation:
5. Right Answer: D
Explanation:
Explanation:
2. Right Answer: B
Explanation:
3. Right Answer: A
Explanation:
4. Right Answer: D
Explanation:
5. Right Answer: D
Explanation:
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