Would you like to work at home and earn $150 per hour with data entry?
The modern marketer is: an experimenter, a lover of data, a content creator, a justifier of ROI.
While I was there, Voyager flew by Saturn. I got involved with a person who was a member of the imaging team and started working on data from Saturn,. . . With all that data coming in, the imaging team didn't have enough hands or scientists to work on all of it.
Recruiting is hard. It's just finding the needles in the haystack. You can't know enough in a one-hour interview. So, in the end, it's ultimately based on your gut. How do I feel about this person? What are they like when they're challenged? I ask everybody that: 'Why are you here?' The answers themselves are not what you're looking for. It's the meta-data.
Data by itself is not useful. Data is only useful if it can be applied for public benefit.
On mobile, what are the core apps? It's basically messaging, mapping and review data.
Good science is all about following the data as it shows up and letting yourself be proven wrong, and letting everything change while you're working on it - and I think writing is the same way.
Size doesn't matter, fast data is better than big data
To write it, it took three months; to conceive it three minutes; to collect the data in it all my life.
If you're going to decide to run a data-driven campaign, decision-making has to follow it.
If you are only skeptical, then no new ideas make it through to you. You become a crotchety old person convinced that nonsense is ruling the world. (There is, of course, much data to support you. ) But every now and then, a new idea turns out to be on the mark, valid and wonderful. If you are too much in the habit of being skeptical about everything, you are going to miss or resent it, and either way you will be standing in the way of understanding and progress.
The data says that with the poor, a little money can buy a lot of happiness. If you're rich, a lot of money can buy you a little more happiness. But in both cases, money does it.
While the official productivity data look impressive, alternative measures that are equally reasonable show a much more subdued picture.
I don't think he would have had any trouble answering Justice Sonia Sotomayor's excellent challenge in a case involving GPS surveillance. She said we need an alternative to this whole way of thinking about the privacy now which says that when you give data to a third party, you have no expectations of privacy. And [Louis] Brandeis would have said nonsense, of course you have expectations of privacy because it's intellectual privacy that has to be protected. That's my attempt to channel him on some of those privacy questions.
Hate is love without enough data.
The scientific excitement in comparing theory with data, and developing some understanding of global changes that are occurring, is what makes all the other stuff worth it.
Welcome to the information age. Data, data, everywhere, but no one knows a thing.
In fact, the private sector is improving their algorithmic ability to search through big data month after month after month. And, of course, a big government bureaucracy isn't keeping up.
Ever since Sir Isaac Newton's times, scientists have worked in the same sort of way: They show a great respect for experiment and observation, They don't cherry pick data, They take a skeptical approach to what they do. And then scientists work together to get a consensus as to what should be believed And that generates very reliable knowledge and that reliable knowledge drives innovation
We're now going to develop the standards on transparency, data collection for police, but the whole goal is to fully integrate the police into the community because everybody has the same goals.