Machine Learning Basics Flashcard

Front

What is supervised learning in machine learning?

Back

A type of learning where the model learns from labeled data to predict outcomes.

Answer explanation

Supervised learning is when the model learns from labeled data to predict outcomes.

Front

Which of the following is an example of unsupervised learning? Classification, Regression, Clustering, Decision Trees

Back

Clustering

Answer explanation

Clustering is an example of unsupervised learning. It involves grouping similar data points together without any predefined labels or target variables.

Front

What is the main goal of a neural network?

Back

To mimic the human brain and learn from vast amounts of data.

Answer explanation

The main goal of a neural network is to mimic the human brain and learn from vast amounts of data.

Front

What is true about neural networks?

Back

They consist of layers of nodes, including input, hidden, and output layers.

Answer explanation

Neural networks consist of input, hidden, and output layers, making them the correct choice.

Front

What is the primary difference between supervised and unsupervised learning?

Back

Supervised learning uses labeled data, while unsupervised learning uses unlabeled data.

Front

Common application of supervised learning?

Back

Image classification

Front

What is a key characteristic of unsupervised learning algorithms?

Back

They identify patterns and structures in data without prior labels.

Front

Characteristic of reinforcement learning?

Back

It learns by interacting with an environment to maximize a reward.