Machine learning is a field of artificial intelligence (AI) that gives computers the ability to learn and improve from experience without being explicitly programmed. It's a subset of AI focused on building systems that learn from data, identify patterns, and make decisions with minimal human intervention.
Key Concepts
Here are some of the key concepts in machine learning:
- Supervised Learning: This is where the algorithm learns from labeled data. The model is trained on a dataset with input-output pairs.
- Unsupervised Learning: Here, the algorithm is given data without explicit instructions on what to do with it. The algorithm must figure out what to do itself.
- Reinforcement Learning: This is a type of learning where an agent learns to make decisions by performing actions and receiving rewards or penalties.
Common Machine Learning Algorithms
- Linear Regression: Used for predicting a continuous value.
- Logistic Regression: Used for binary classification.
- Neural Networks: A collection of algorithms that can recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.
Resources
For more in-depth information, you can check out our comprehensive guide on Machine Learning Algorithms.
Images
Here are some popular machine learning models: