Key definitions and concepts in machine learning
Data + Model strategy
- Data: experience
- Model: a math representation of the relationshio between the input data and the output or prediction
Optimisation
- finds the input that can give the minimum(or maximum) output value of a real-valued function
Classification and regression
- Classification: supervised learning, goal is to predict a categorical label or class or a given input. The model is trained on labeled data, where each input accociated with a known output class
- Regression: supervised learning, goal is to predict a continuous numerical output based on one or more input variablesThe model is trained on labeled data, where each input accociated with a known output value