What machine learning does

What is machine learning?

A field of AI that enables computers to learn from data and improve over time.

Difference between supervised and unsupervised learning

Supervised learning uses labeled data; unsupervised learning does not.

True or false: Machine learning requires programming knowledge.

False, because many tools allow users to apply ML without extensive coding.

What is a dataset?

A collection of data used to train machine learning models, often divided into features and labels.

Fill in the blank: The process of improving a model is called _____.

training.

What are features in machine learning?

Attributes or properties of the data used to make predictions, like age, height.

Question: What does a 'training set' do?

It teaches the model by providing examples for learning.

True or false: Large datasets always produce better models.

False, because quality of data is more important than quantity.

What is overfitting?

When a model learns too much from the training data, reducing its ability to generalize.

Question: What role does testing play in machine learning?

It evaluates how well a model performs on unseen data.

Comparison: Classification vs. Regression

Classification predicts categories; regression predicts continuous values.

What is a neural network?

A series of algorithms that mimic the human brain to find patterns in data.