Introduction to Machine Learning Landscape FALL 2020

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What is the purpose of unsupervised learning clustering?

To estimate the probability that an instance belongs to a particular class

To predict a continuous output variable

To impose a small penalty on model complexity

To divide data into distinct groups based on similarities (correct)

In the k-means algorithm, what is done in the E-Step?

Assigning points to the nearest cluster center (correct)

Guessing some cluster centers

Setting the cluster centers to the mean

Calculating the slope of the cost function

What is used to ensure that a model is not overfitting to the training data?

Estimating the probability that an instance belongs to a particular class

Regularization (correct)

Imposing a small penalty on model complexity

Setting the cluster centers to the mean

What is the definition of machine learning according to Arthur Samuel in 1959?

A field of study that gives computers the ability to learn without being explicitly programmed Signup and view all the answers

In which type of machine learning system is the training data labeled with desired solutions or labels?

Supervised Learning Signup and view all the answers

What type of machine learning system uses training data that is unlabeled?

Unsupervised Learning Signup and view all the answers

What is the main advantage of using a Decision Tree?

It is resistant to overfitting Signup and view all the answers

How does Lasso Regression differ from Ridge Regression?

Lasso Regression minimizes mean squared error (MSE), while Ridge Regression minimizes impurity Signup and view all the answers

What is the main idea behind Ensemble Methods like Random Forest?

To combine the predictions of multiple decision trees to reduce overfitting Signup and view all the answers

What is the key concept behind Gradient Boosting?

Trying to fit a new predictor to the residual errors made by the previous predictor Signup and view all the answers

Introduction to Machine Learning Landscape FALL 2020

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Questions and Answers

What is the purpose of unsupervised learning clustering?

In the k-means algorithm, what is done in the E-Step?

What is used to ensure that a model is not overfitting to the training data?

What is the definition of machine learning according to Arthur Samuel in 1959?

In which type of machine learning system is the training data labeled with desired solutions or labels?

What type of machine learning system uses training data that is unlabeled?

What is the main advantage of using a Decision Tree?

How does Lasso Regression differ from Ridge Regression?

What is the main idea behind Ensemble Methods like Random Forest?

What is the key concept behind Gradient Boosting?

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