Quotes About Data

When the company owned me and rented me out for surveys, my security protocol included datamining, which meant monitoring and recording the humans every second for the duration of the contract, which was excruciating in a lot of ways. Pretty much all the ways. (All the ways involving sex, bodily fluids, and inane conversations.)

Martin Fowler NoSQL Distilled: "In general, with remote communication you want to reduce the number of round trips involved in the interaction, so it's useful to be able to put a rich structure of information into a single request or response." Patterns of Enterprise Application Architecture" "Due to the latency costs of remote calls, it's better to err on the side of sending too much data than have to make multiple calls.

lone piece of small data is almost never meaningful enough to build a case or create a hypothesis, but blended with other insights and observations gathered from around the world, the data eventually comes together to create a solution that forms the foundation of a future brand or business. My

It has led us to be obsessed by data rather than by the significance of knowledge and to be determined to prove things, rather than to experience and risk experiencing things as part of an adventure of faith, coupled with uncertainty.

One additional bizarre Trump-inspired change to reporting that took place in 2016 involved polls: we increasingly ignored data favorable to Trump and pushed surveys suggesting a Clinton landslide. The Times ran a piece in October pronouncing the race essentially over, telling us to expect a "sweeping victory at every level" for Clinton.

Remember that codes are more than a filing system. Every project needs a systematic way to store coded field data and a way to retrieve them easily during analysis.

it is a common error to confuse data with truth: the former informs the latter, but they are not the same thing

This new world of total transparency and the previously unimaginable abundance of data is the level playing field in which only true PR professionals really stand out based on how they can position a client's message in the most efficient and beneficial way.

Today, the PR business is 100 percent measurable. You can demonstrate with utmost accuracy who read what, when they read it, what gender they are, what education they have, what country they are from - we have all kinds of data to the smallest detail. That, too, is related to the transparency of our business.

Harper's Conservatives have used three basic methods to undermine environmental stewardship in Canada: reduce the government's capacity to gather data; downsize or eliminate offices that monitor and analyze scientific information; and seize control of channels of scientific information and prevent the publication or release of any information that could interfere with government policy.

We should be afraid. Not of intelligent machines. But of machines making decisions that they do not have the intelligence to make. I am far more afraid of machine stupidity than of machine intelligence. Machine stupidity creates a tail risk. Machines can make many many good decisions and then one day fail spectacularly on a tail event that did not appear in their training data. This is the difference between specific and general intelligence.

New companies have sprung up to offer labeling data as a service; Mighty AI, for example, offers "the labeled data you need to train your computer vision models" and promises "known, verified, and trusted annotators who specialize in autonomous driving data."11 The

Major chains like Staples and Home Depot were charging different prices on their websites depending on the zip code in which visitors seemed to be.

Though it is closely linked to computer science, data journalism is generally considered a social science.

Even the best data-collection system is useless if there are no people available to manage it.

The term machine learning entered the lexicon in 1959, according to the Oxford English Dictionary (OED).

Kaggle.16 Kaggle, which is owned by Google's parent company, Alphabet,

Here's an open secret of the big data world: all data is dirty. All of it.

a principle called the unreasonable effectiveness of data.

Because social decisions are about more than just calculations, problems will always ensue if we use data alone to make decisions that involve social and value judgments.

Data journalism is the practice of finding stories in numbers and using numbers to tell stories.

However, as life has become more computational, people haven't changed. Just because we have open government data doesn't mean we don't have corruption.

I had some of the students in my finance class actually do some empirical work on capital structures, to see if we could find any obvious patterns in the data, but we couldn't see any.

Database Development