I’m working on a Computer Science question and need guidance to help me study.

Topics:

  • 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?

Instructions:

  • Select topics from the above and Briefly explain the Topic with 300 Words
  • Extra 2 paragraphs for replying to other in class on any 2 topics.
  • APA Citation
  • No Plagiarism.

 

“Looking for a Similar Assignment? Order now and Get a Discount!