This tag is associated with 2 posts

Tips to Making Great Data Products

Don’t try to be too clever. Simple, straightforward approaches beat cleverness 9 times out of 10. Start with something simple, then make it more complex if needed. Don’t start with something complex and then simplify. The hardest part of data science is getting good, clean data. Cleaning data is often 80% of the work. Try … Continue reading

Why so many predictions fail – and some don’t

“Why So Many Predictions Fail — but Some Don’t” is a new book by Nate Silver on the science of extracting information from noisy data. Why are we so rarely able to make rational predictions about the future? Partly it is because: We are fooled into thinking that random patterns are meaningful We build mental … Continue reading