«And so that means that, all of a sudden, I only need to engage 50,000, 70,000, 100,000 people to get
a really big data set really quickly, and it's scaled really quickly.
Not exact matches
«To
really be involved in
big data you need a multiple skill
set, including an understanding of optimization theory and of algorithms similar to those used in facial recognition to find [relevant] patterns by knowing which
data to extract.»
Using a computer to do large - scale reconstruction offers another advantage, Bouchard - Côté says: with
big data sets, «you can
really start finding regularities... You might find that certain sounds are more likely to change than others.»
«So if we have a
big data set — a
big pool of people that's varied — then that allows us to
really map out not only the genome of one person, but now we can start seeing connections and patterns and correlations that helps us refine exactly what it is that we're trying to do with respect to treatment,» the president explained in his 20 - minute speech, flanked by a red - and - blue model of the DNA double helix.
It's not
really the end points that matter as such, but the number of years between the endpoints, or how
big the
data set.
Redefining Accuracy What
really sets HouseCanary apart in the world of
big data is its unprecedented approach to accuracy.