Which of the following is an example of supervised learning? A) K-Means Clustering, B) Linear Regression, C) PCA (Principal Component Analysis), D) DBSCAN (Density-Based Spatial Clustering of Applications with Noise)

Machine Learning Flashcard

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1.
FLASHCARD QUESTION
Front
Back
Linear Regression
2.
FLASHCARD QUESTION
Front
What is overfitting in machine learning?
Back
When a model performs well on the training dataset but poorly on the test dataset.
3.
FLASHCARD QUESTION
Front
Which of the following is the primary purpose of the activation function in a neural network? A) To adjust the learning rate, B) To introduce non-linearity, C) To determine the number of layers, D) To control the number of neurons
Back
To introduce non-linearity
4.
FLASHCARD QUESTION
Front
Which algorithm is most commonly used for classification tasks?
Back
Support Vector Machines (SVM)
5.
FLASHCARD QUESTION
Front
In which of the following scenarios is unsupervised learning typically used? Predicting house prices, Classifying emails as spam or not spam, Grouping customers based on purchasing behavior, Forecasting stock prices
Back
Grouping customers based on purchasing behavior
6.
FLASHCARD QUESTION
Front
What does the "bias" term in a machine learning model represent?
Back
A parameter that helps the model fit better to the training data
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