Welcome to the basics of Machine Learning! This section provides an overview of key concepts and terms in the field of Machine Learning.
What is Machine Learning?
Machine Learning is a subset of Artificial Intelligence (AI) that focuses on building systems that can 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: A type of Machine Learning where the algorithm learns from labeled data.
- Unsupervised Learning: A type of Machine Learning where the algorithm learns from unlabeled data.
- Reinforcement Learning: A type of Machine Learning where the algorithm learns to make decisions by performing actions and receiving rewards or penalties.
Applications
Machine Learning has a wide range of applications, including:
- Image Recognition: Used in facial recognition systems, self-driving cars, and medical diagnosis.
- Natural Language Processing (NLP): Used in chatbots, translation services, and sentiment analysis.
- Recommendation Systems: Used in movie and music recommendations, and e-commerce product recommendations.
Learn More
For further reading on Machine Learning, check out our Machine Learning tutorials.