discussion

Please read chapter 3 "Data Preparation" from the book "Predictive Analytics with Microsoft Azure Machine Learning"  and provide in 200-300 words:

Section 1 - Overview / summary of the reading - this may include: o What are the key points?
o What was learned?
o What are the most important issues? o Why is it important (or not)?  Section 2 - Your reaction and wider implications - this may include: o What critiques do you have?
o What additional things do you want to learn? o What questions does this reading raise?
o What related examples have you found or observed in the real-world? o Links to other relevant materials (websites, videos, etc.)