Machine Learning: Concepts, Applications, and
Differences from Data Mining Questions and
answers
What is machine learning?
The science of getting computers to act without being explicitly programmed.
How does machine learning help computers?
It helps computers learn from existing data to forecast future behaviors, outcomes, and trends.
What is the main focus of machine learning?
Designing algorithms that can learn from historical data and make predictions.
What is data mining?
A cross-disciplinary field that aims at discovering properties (useful information) of data sets.
Can machine learning be used for data mining?
Yes, machine learning can be applied in data mining.
Name three example applications of machine learning.
Self-driving cars, spam detection, and fraud detection.
What are the general steps in a machine learning process?
Data collection, data preprocessing, problem definition, model selection, model training, model
evaluation, and deployment.
What is the first step in the machine learning process?
Data collection.
What is the difference between a rule-based approach and a machine learning approach?
A rule-based approach is explicitly programmed to solve problems, while a machine learning approach is
trained from examples with decision rules learned from data.
What does machine learning use to make predictions?
Historical data.
How are decision rules defined in a machine learning approach?
They are complex and fuzzy, learned by machines from data, not explicitly defined by humans.
What is the relationship between machine learning and data mining?
