The challenges of data matching involve how to match accurately and to scale the matching algorithms to large data sets. True or false? (A) True (B) False
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The challenges of data matching involve how to match accurately and to scale the matching
(A) True
(B) False
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- Justify the use of inferential statistics.The data mining technique involved in predicting a categorical response is called as. A. Regression B. Classification C. Clustering D. SummarizationOne of the most often used machine learning techniques is regression. These models are often useful for predicting or mistake reduction. What are some linear regression applications?
- What is a stepwise regression?What are the differences between bottom-up and top-down estimating approaches?ER modeling is one approach in creating a data model. There are several approaches in creating a data model (bottom up, top down, inside out, and mix). 1. explain each of these approaches!2. Then explain when we use top down, bottom up, inside out and mix? what is the function of each of the approaches?