Machine learning is a branch of artificial intelligence (AI) focused on building systems that can learn from data and make decisions or predictions based on that data. This guide will provide an overview of the basics of machine learning, including its history, key concepts, and real-world applications.
Key Concepts
- Supervised Learning: This type of learning involves training a model on labeled data. The model is then used to make predictions on new, unseen data.
- Unsupervised Learning: In this type of learning, the model is trained on data without labels. The goal is to find patterns and structure in the data.
- Reinforcement Learning: This type of learning involves an agent that learns to make decisions by performing actions in an environment to achieve a goal.
Applications
Machine learning has a wide range of applications, including:
- Image and speech recognition
- Natural language processing
- Medical diagnosis
- Financial fraud detection
- Autonomous vehicles
Learn More
For a deeper understanding of machine learning, we recommend checking out our comprehensive guide on Machine Learning Fundamentals.
Machine Learning Algorithm