Machine Learning Overview
STEPS FOR SOLVING MACHINE LEARNING PROBLEM
- Which problem are you trying to solve ?
- What data do we have ?
- What defines the success of your model?
- What are the features of data that you have ?
- What kind of model is suitable for this?
- Experiment ....
TYPES OF MACHINE LEARNING PROBLEMS
- Supervised problem -> I know my inputs & outputs
- Unsupervised problem -> I know only my inputs
- Transfer problem -> I can solve this problem by taking machine learning model of
similar problem
TYPES OF DATA
- Structured Data -> e.g data with rows & columns
- Unstructured Data -> e.g Images & texts