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There are excitement in Silicon Valley about this topic.Statistics is essential when evaluating a data mining model. For example, if we test with 1000 people in treatment group (Group A) vs. In data collection phrase, statistics helps us to decide the size of training data (sample), and whether it is representative.1000 people in control group (Group B) and find Group A has better performance, is this result conclusive? Not to mention, some current popular machine learning methods such as logistic regression were originally developed in statistics community.Uber’s taxies send out data on their locations and their passengers. With the coming of connected cars, we are just at the dawn of huge data connection and processing.Io T will be very useful for hospitals where patient monitoring is required.

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