I’m working on a Computer Science question and need guidance to help me study.
- Data and Classification (precision of a measurement and the terms single and double precision)
- Rule-based classification and Bayesian classification.
- Association rule mining
- Cluster Analysis.
What is the most practical and easily applied lesson you learned?
What was the hardest to grasp? Why?