Quotes About Data

Rossmann pored over data that followed kids across four periods in their lives, ending in their mid-twenties. Those who began chores at three or four were more likely to have solid relationships with their families and friends, to be self-sufficient, and to achieve academic and early professional success.

That's the thing about the internet. It's really good at giving you pointless facts like how many horses a star owns, but not important things like how to invade his trailer.

One of the Internet's strengths is its ability to help consumers find the right needle in a digital haystack of data.

The basic problem is that web 2.0 tools are not supportive of democracy by design. They are tools designed to gather spy-agency-like data in a seductive way, first and foremost, but as a side effect they tend to provide software support for mob-like phenomena.

Beware of situations where there is no alternative to parsing text messages! If the information isn't available in other ways, people will parse any textual output generated by your code.

Even if complete immutability might not be possible, it's beneficial for regular mutable objects to keep their internal state in immutable data structures, because that allows easier synchronization when the object is modified from multiple thrads or in a reentrant way.

Mean systems scapegoat and demoralize. They attack people instead of problems. They're a relic of a primitive and superstitious past. They are not data driven.

Given how inexpensive technology and analytics have become, it's inexcusable for any business not to know every customer

What we don't get as easily is that when we tap into our personal experience, the most vivid collection of life data at our disposal, we're relying on a similarly small sample size to draw conclusions.

Artificial intelligence expert Roger Schank has an observation about this: He notes that while computers are organized around managing and accessing data, human intelligence is organized around stories.2

A valid study rests upon the reliable collection of data. If the data collection method is not reliable, then the resulting study cannot be considered valid. Collecting the "right" data is essential for a study is to be considered as valid.

information does not consist of energy, and leadership is all about energy, about making an impact. Basing leadership on information theory disempowers leaders and is part of the bias toward data that was discussed earlier in this chapter. Impact, to the contrary, is about emotional process.

We are providing JavaScript training in Coimbatore With the help of JavaScript, developers can create applications that work in client-side and the server-side of web browsers. They can access and use the data in the web server, which is not readily accessible from a browser.

But a "case" of coronavirus refers only to a positive test result showing someone has been infected. It does not mean that a person will become sick – much less that he or she will be hospitalized, need intensive care, or die. Thus discussing the age distribution of infections, while technically not untruthful, is extremely misleading.

But a "case" of coronavirus refers only to a positive test result showing someone has been infected. It does not mean that a person will become sick – much less that he or she will be hospitalized, need intensive care, or die.

states assume that anyone with a positive coronavirus test has died from the disease, no matter what their actual cause of death.

Once it becomes mandatory to report that you've had data stolen, blackmailing you is a waste of time. Blackmailing you to keep quiet - you can't, because you've got a legal obligation to tell everyone.

We can look back through ice-core data and see over 800,000 years, relationships between carbon dioxide and the temperature of the world. So those people who deny the importance of climate change are just wasting their time. They're also being diversionary because if we don't act the risks are enormous.

What I learned from Rockefeller that's off-the-hook important is: You need to know exactly where you stand in a business at all times. Measure everything, because everything that is measured and watched improves.

Once you digitize data, you can actually analyze patterns and relationships in geographic space - relationships between certain health patterns and air or water pollution, between plants and climate, soils, landscape.

There's a waterfall of content that you're missing out on.

Cloud computing is the third wave of the digital revolution.

Palantir is the new wave of companies solving big problems for big industries.

I think the first wave of deep learning progress was mainly big companies with a ton of data training very large neural networks, right? So if you want to build a speech recognition system, train it on 100,000 hours of data.