Machine learning is a subset of artificial intelligence (AI) that focuses on building systems that learn from data. It's a field that has seen rapid growth and has become a crucial part of many industries.
Key Concepts
- Supervised Learning: A type of machine learning where the algorithm learns from labeled training 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 from interaction with an environment.
Applications
Machine learning is used in various fields, such as:
- Healthcare: Predicting patient outcomes, diagnosing diseases.
- Finance: Fraud detection, credit scoring.
- Retail: Personalized recommendations, demand forecasting.
Machine Learning in Healthcare
For more information on machine learning applications, check out our Machine Learning Applications page.
Resources
- Introduction to Machine Learning - A free course on Coursera.
- Machine Learning Yearning - A book by Andrew Ng.
Andrew Ng