Data Patterns Quotes

Science values static patterns.

When you have a large amount of data that is labeled so a computer knows what it means, and you have a large amount of computing power, and you're trying to find patterns in that data, we've found that deep learning is unbeatable.

In genomics, there's a massive amount of information in which you can look for patterns and develop insights.

The promoters of big data would like us to believe that behind the lines of code and vast databases lie objective and universal insights into patterns of human behavior, be it consumer spending, criminal or terrorist acts, healthy habits, or employee productivity. But many big-data evangelists avoid taking a hard look at the weaknesses.

To do science is to search for repeated patterns, not simply to accumulate facts.

Numerical quantities focus on expected values, graphical summaries on unexpected values.

I was interested in data mining, which means analyzing large amounts of data, discovering patterns and trends. At the same time, Larry started downloading the Web, which turns out to be the most interesting data you can possibly mine.

The world is a bell curve. Classroom test scores, employee performance in a company or how many people really, really like you. No matter the population you're studying, they always fit neatly across the standard deviations of the famous bell curve.

Sometimes the data has a sense of a structure within it, especially if I'm looking at networks or relationships, which generally lend themselves to a certain style.