Machine learning is a branch of artificial intelligence (AI) that focuses on building systems that learn from data. These systems use algorithms to analyze and interpret data, and to make decisions or predictions based on that data.
Key Concepts
- Supervised Learning: A type of machine learning where the model is trained on labeled data. The model tries to learn a mapping from input to output.
- Unsupervised Learning: A type of machine learning where the model is trained on unlabeled data. The model tries to find patterns or structure in the data.
- Reinforcement Learning: A type of machine learning where the model learns to make decisions by performing actions and receiving feedback in the form of rewards or penalties.
Resources
For further learning on machine learning, you can visit our Machine Learning Course.