Challenging ML Concepts Flashcard for Beginners

Front

Which of the following is a supervised learning algorithm? K-Means Clustering, Decision Tree, Principal Component Analysis, Apriori Algorithm

Back

Decision Tree

Front

In the context of machine learning, what does the term "overfitting" refer to?

Back

A model that performs well on training data but poorly on unseen data

Front

Which of the following is used to prevent overfitting in a neural network?
Options: Increasing the number of layers, Dropout, Using a larger dataset, Reducing the learning rate

Back

Dropout

Front

What is the purpose of the activation function in a neural network?

Back

To introduce non-linearity into the model

Front

Which of the following is a loss function used for binary classification problems? Mean Squared Error, Cross-Entropy Loss, Hinge Loss, Log-Cosh Loss

Back

Cross-Entropy Loss

Front

In the context of support vector machines, what is the "kernel trick" used for?

Back

To transform data into a higher-dimensional space

Front

Which of the following is a method for feature selection? Bagging, Random Forest, Recursive Feature Elimination, Gradient Descent

Back

Recursive Feature Elimination

Front

What is the purpose of the learning rate in gradient descent?

Back

To control the step size during optimization

Front

Which of the following is a common method for handling missing data in a dataset? Normalization, Imputation, One-hot encoding, Feature scaling

Back

Imputation

Front

Back

The proportion of variance explained by the model