Data Cleaning Quotes

Every company has messy data, and even the best of AI companies are not fully satisfied with their data. If you have data, it is probably a good idea to get an AI team to have a look at it and give feedback. This can develop into a positive feedback loop for both the IT and AI teams in any company.

You need to use data science and machine learning to get the ground truth of what's happening inside of a company.

Good data is hard to find. Hard data is good to find.

Big data sets are never complete.

You can't put rubbish into a computer and get something good out.

Trimming consists of clipping off little bits here and there from those observations which differ most in excess from the mean, and in sticking them onto those which are too small; a species of 'equitable adjustment,' as a radical would term it, which cannot be admitted in science.

Data is cost. It takes money to create data, store it, clean it, and throw resources at it to learn anything from it.

My job is to analyze our data set to understand it and build products on it. I look at raw data, do the math to clean it up, and build systems to make it easy to understand.