Machine Learning (ML) is a subset of Artificial Intelligence (AI) that focuses on building systems that learn from data. It has become a crucial field in various industries, from healthcare to finance and beyond. This guide will provide an introduction to the basics of machine learning.
Key Concepts
Here are some key concepts in machine learning:
- Supervised Learning: A type of ML where the model is trained on labeled data. The goal is to learn a mapping from input to output.
- Unsupervised Learning: In this case, the model is trained on unlabeled data. The goal is to find patterns and structures in the data.
- Reinforcement Learning: A type of ML where an agent learns to make decisions by performing actions in an environment to achieve a goal.
Resources
For further reading, check out the following resources:
Machine Learning in Action