Question 5Unless you have a huge dataset (“Big Data”), it is generally not worth attempting machine learning or data science projects on your problem.1 pointTrueFalse

Question 2After the data are appropriately processed, transformed, and stored, machine learning and non-parametric methods are a good starting point for data mining.1 pointFalse.True.

Question 5Data mining also known as “big data” analysis relieson which of the following.1 pointBig data analysis requires at least 10 years of details.Data mining works best on detailed data.Big data is an excellent analysis approach for the theoreticalclassroom but produces results too messy for the real world.Data mining works best when analyzing small sets ofdata

major issues in data mining

Pick a topic of your interest and identify methods that  data can be generated, presented and analyzed

Sample QuestionA voluminous amount of structured, semi-structured, and unstructured data that has the potential to be mined for information.Small DataMeta DataStatistical DataBig Data