1
MACHINE LEARNING EXAM, HOMEWORK AND ASSIGNMENT ALL COMBINED
QUESTIONS AND ANSWERS
I. LEARNING UNIT 1 (QUIZ)
1. Which of the following explanations is genuine about Machine Learning?
A. Machine Learning is a type of natural intelligence that empowers computers to
learn from information.
B. Machine Learning is a subset of artificial intelligence that permits computers
to learn from information without being explicitly programmed.
C. Machine Learning is a subset of artificial intelligence that requires explicit
programming to learn from information.
D. Machine Learning is a subset of statistical analysis that helps in choice-making.
2. What is the goal of Supervised Learning?
A. To find structure and patterns in the data.
B. To maximize the rewards it receives in the long run.
C. To learn the underlying structure of the data by combining labeled and
unlabeled data.
D. To learn a model or function that maps the input data to the output labels.
3. Which of the following is an example of Unsupervised Learning?
A. Support Vector Machines
B. Decision Trees
C. Anomaly Detection
D. Neural Networks
, 2
4. Which type of ML model is used to identify patterns and relationships in
data?
A. Regression
B. Classification
C. Clustering
D. All of the Above
5. What is the goal of Reinforcement Learning?
A. To find structure and patterns in the data.
B. To maximize the rewards it receives in the long run.
C. To learn the underlying structure of the data by combining labeled and
unlabeled data.
D. To learn a model or function that maps the input data to the output labels.
6. What type of ML model can be used to identify an outcome based on a set of
numerical inputs?
A. Regression
B. Classification
C. Clustering
D. Decision Tree
7. What is a virtual personal assistant?
A. A type of artificial intelligence software that automates tasks such as
scheduling, reminders, and other daily tasks.
B. A type of machine learning that analyzes and predicts stock prices.
C. A type of machine learning that diagnoses medical conditions.
D. A type of machine learning that translates text from one language to another.
MACHINE LEARNING EXAM, HOMEWORK AND ASSIGNMENT ALL COMBINED
QUESTIONS AND ANSWERS
I. LEARNING UNIT 1 (QUIZ)
1. Which of the following explanations is genuine about Machine Learning?
A. Machine Learning is a type of natural intelligence that empowers computers to
learn from information.
B. Machine Learning is a subset of artificial intelligence that permits computers
to learn from information without being explicitly programmed.
C. Machine Learning is a subset of artificial intelligence that requires explicit
programming to learn from information.
D. Machine Learning is a subset of statistical analysis that helps in choice-making.
2. What is the goal of Supervised Learning?
A. To find structure and patterns in the data.
B. To maximize the rewards it receives in the long run.
C. To learn the underlying structure of the data by combining labeled and
unlabeled data.
D. To learn a model or function that maps the input data to the output labels.
3. Which of the following is an example of Unsupervised Learning?
A. Support Vector Machines
B. Decision Trees
C. Anomaly Detection
D. Neural Networks
, 2
4. Which type of ML model is used to identify patterns and relationships in
data?
A. Regression
B. Classification
C. Clustering
D. All of the Above
5. What is the goal of Reinforcement Learning?
A. To find structure and patterns in the data.
B. To maximize the rewards it receives in the long run.
C. To learn the underlying structure of the data by combining labeled and
unlabeled data.
D. To learn a model or function that maps the input data to the output labels.
6. What type of ML model can be used to identify an outcome based on a set of
numerical inputs?
A. Regression
B. Classification
C. Clustering
D. Decision Tree
7. What is a virtual personal assistant?
A. A type of artificial intelligence software that automates tasks such as
scheduling, reminders, and other daily tasks.
B. A type of machine learning that analyzes and predicts stock prices.
C. A type of machine learning that diagnoses medical conditions.
D. A type of machine learning that translates text from one language to another.
