Machine Learning is a vast and rapidly evolving field. It encompasses a range of techniques that enable computers to learn from data and make decisions or predictions based on that data.
Key Areas in Machine Learning
Supervised Learning: This involves training a model on a labeled dataset, where the output is already known. Examples include regression and classification problems.
Unsupervised Learning: Here, the model learns from data that is not labeled. It tries to find patterns and relationships in the data.
Reinforcement Learning: This area involves an agent that learns to make decisions by performing actions in an environment to achieve a goal.
Applications of Machine Learning
Machine learning has applications in various fields such as:
- Healthcare: Predicting patient outcomes, diagnosing diseases.
- Finance: Credit scoring, algorithmic trading.
- Manufacturing: Predictive maintenance, quality control.
- Retail: Personalized recommendations, inventory management.
Learn More
For more information on machine learning, check out our Introduction to Machine Learning.