Questions and Answers
What is Machine Learning?
An AI technique that teaches computers to learn from experience
What are the two types of techniques used in machine learning?
Supervised learning and unsupervised learning
What is supervised learning in machine learning?
A model that makes predictions based on evidence in the presence of uncertainty
Study Notes
Machine Learning Overview
- Machine learning is a subset of artificial intelligence that involves training algorithms to learn from data and make predictions or decisions without being explicitly programmed.
Machine Learning Techniques
- There are two primary types of techniques used in machine learning: Supervised Learning and Unsupervised Learning.
Supervised Learning
- Supervised learning is a type of machine learning where the algorithm is trained on labeled data, meaning the data is already annotated with the correct output.
- The algorithm learns to map inputs to outputs based on the labeled data and makes predictions on new, unseen data.
- The goal of supervised learning is to make predictions on new data by generalizing from the labeled data.
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