Computer Science Homework Help. University of Arkansas Use of Different Algorithms for Analysis Questions
I’m working on a computer science multi-part question and need support to help me learn.
When using different data algorithms, why is it fundamentally important to understand why they are being used?
If there are significant differences in the data output, how can this happen and why is it important to note the differences?
- Who should determine which algorithm is “right” and the one to keep? Why?
- What are the various types of classifiers?
- What is a rule-based classifier?
- What is the difference between nearest neighbor and naïve bayes classifiers?
- What is logistic regression?
- What is the association rule in data mining?
- Why is the association rule especially important in big data analysis?
- How does the association rule allow for more advanced data interpretation?
