Machine Learning is a branch of artificial intelligence (AI) focused on building systems that learn from data. It's a field that's rapidly evolving and has applications in various industries, from healthcare to finance to transportation.
Key Concepts
- Supervised Learning: The system is trained on labeled data, meaning each input is paired with the correct output.
- Unsupervised Learning: The system is trained on data without labels, and the goal is to find patterns or structures in the data.
- Reinforcement Learning: The system learns by making decisions and receiving feedback in the form of rewards or penalties.
Applications
- Image Recognition: Used in applications like facial recognition and medical imaging.
- Natural Language Processing (NLP): Used in chatbots, language translation, and sentiment analysis.
- Predictive Analytics: Used in stock market trading, weather forecasting, and customer behavior analysis.
Machine Learning in Action
Resources
For further reading, check out our Machine Learning Basics guide.