
ML Basics
Authored by shree shree
Computers
University
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16 questions
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1.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Which of the following is NOT a type of machine learning?
Supervised learning
Unsupervised learning
Reinforcement learning
Deterministic learning
2.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What is the purpose of training a machine learning model?
To optimize the model's performance on new, unseen data
To memorize the training data
To overfit the model to the training data
To generate synthetic data
3.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Problem statement: You are given a dataset with 100 samples and 10 features. You want to predict whether a customer will churn or not based on these features. Which type of machine learning problem is this?
Classification
Regression
Clustering
Reinforcement learning
4.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
You are given a dataset with 100 samples and 1 target variable. Your task is to predict the value of the target variable based on the input features. Which type of machine learning problem is this?
Classification
Regression
Clustering
Dimensionality reduction
5.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Problem statement: You want to group similar documents together based on their content. Which type of machine learning problem is this?
Classification
Regression
Clustering
Reinforcement learning
6.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Problem statement: You want to train a machine learning model to play a game and maximize its score by interacting with the game environment. Which type of machine learning problem is this?
Classification
Regression
Clustering
Reinforcement learning
7.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Problem statement: You want to predict the price of a house based on its size, number of bedrooms, and location. Which type of machine learning problem is this?
Classification
Regression
Clustering
Reinforcement learning
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