Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. This guide provides an overview of the key concepts and techniques in machine learning.
Key Concepts
- Supervised Learning: The computer learns from labeled data to make predictions or decisions.
- Unsupervised Learning: The computer learns from unlabeled data to find patterns and relationships.
- Reinforcement Learning: The computer learns by trial and error, receiving rewards or penalties based on its actions.
Techniques
- Neural Networks: Models inspired by the human brain that can recognize patterns and make predictions.
- Support Vector Machines (SVM): A powerful supervised learning algorithm that can be used for classification and regression tasks.
- Clustering: A technique used to group similar data points together.
Resources
For more information on machine learning, check out our Machine Learning Fundamentals guide.