● What happens in the following stages of predictive modeling: collect data, clean data, identify patterns, make predictions?
In the collect data stage, it will get the data from its users depending on its form. Then it will clean(re-organize the data and remove the unnecessary part.) It has to identify the pattern to analyze the data. Then now it can make proper predictions.
● To what degree are accurate, real-time predictive analytics possible?
I think it has 30% accuracy at the moment but the possibility will be bigger gradually.
How Google and its algorithm work
● How do votes work in PageRank?
The PageRank goes up when it has more votes. Also, the related page has higher PageRank.
● To what degree does captured user data influence search results?
I think it influences a lot to search results, since all the results organized depend on the user data and re-collected.
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