542 Data Quotes for You to Enjoy

It's not healthy to obsess over every data point, every review or reader comment. I think the first few times you see someone writing about you, you have this massive emotional response to it. But after a while, it all just fades into the background noise. Alastair Reynolds

You Noise Writing First Healthy Few Every Think Background Response See About Someone Data Point Emotional Fades Obsess Over Massive Reader Review Comment Times Just After While

Economics pretends to be a science. Its practitioners fill blackboards with equations and clog computers with data. But it is really a faith, or more accurately a set of overlapping and squabbling faiths, each with its own doctrines. Alex Berenson

Faith Science Economics Own Pretends Data More Computers Doctrines Equations Faiths Clog Accurately Really Each Fill Set

Every day we have teams looking for new data sets. Alexander Nix

Day Every Day Looking Every Sets Data New Teams

As the internet of things grows, as we have sensors on everything: cars, fridges, TVs then data is going to become ubiquitous. Alexander Nix

Car Internet Become Everything Data Going Sensors Then Grows Things

You can collect Facebook data legally with the consent of the Facebook users and the consent of Facebook. Alexander Nix

You Facebook Collect Data Legally Users Consent

We use nearly 5 thousand different data points about you to craft and target a message. The data points are not just a representative model of you. The data points are about you, specifically. Alexander Nix

You Thousand About Data Points Message Target Model Craft Representative Just Different Use Specifically Nearly

There must always be a balance between protecting privacy and security. In our country, one of the ways we have struck that balance is by requiring a court order before law enforcement can access certain communications of and data on suspects. Amy Klobuchar

Privacy Balance Law Country Before Our Ways Security Must Law Enforcement Struck Data Between Protecting Court Access Always Suspects Order Communications Enforcement Certain Requiring

The thing I'm particularly interested in is natural history. In its heyday, the mid- and late-nineteenth century, when people were going out and gathering the first huge caches of data and trying to understand what was living and growing everywhere, there was such a sense of freshness to that pursuit. It's very exciting. Andrea Barrett

History Natural People First Sense Living Gathering Everywhere Heyday Out Data Pursuit Exciting Particularly Understand Freshness Were Huge Very Trying Going Mid Interested Natural History Century Growing Thing

Every company has messy data, and even the best of AI companies are not fully satisfied with their data. If you have data, it is probably a good idea to get an AI team to have a look at it and give feedback. This can develop into a positive feedback loop for both the IT and AI teams in any company. Andrew Ng

Positive Best Good You Feedback AI Satisfied Every Positive Feedback Give Data Both Develop Idea Look Loop Messy Get Any Team Companies Fully Company Teams Even Good Idea

If you want to publish data, you should do it to share knowledge. Andrew Ng

Knowledge You Publish Data Share Want Should

Most of the value of deep learning today is in narrow domains where you can get a lot of data. Here's one example of something it cannot do: have a meaningful conversation. Andrew Ng

Today You Conversation Learning Value Example Something Data Most Narrow Domains Lot Get Where Cannot Meaningful Deep Here

In healthcare, we are beginning to see that AI can read the radiology images better than most radiologists. In education, we have a lot of data, and companies like Coursera are putting up a lot of content online. Andrew Ng

Education Better AI Beginning See Data Online Putting Like Most Read Content Healthcare Lot Up Than Companies Images

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. Andrew Ng

You Learning Training Progress First Big Build Think Wave Recognition System Data Networks Neural Mainly Hours Big Companies Very Train Want Companies Large Deep Right Ton Speech

I spend way too much time watching television, going to sports games, going to movies. It struck me that there's an awful lot of data in the public domain for these sectors. The movie industry publishes weekly sales numbers - not many industries do. Anita Elberse

Time Me Sports Too Much Too Too Much Time Spend Way Television Sectors Struck Data Weekly Industries Industry Sales Domain Lot Going Movie Movie Industry Public Movies Public Domain Much Games Many Awful Awful Lot Watching Watching Television Numbers

When we share our personal data with business, its use should be transparent and secure. Anna Eshoo

Business Our Secure Data Share Personal Should Use Transparent

Consumers deserve to know exactly what they're getting for their money when they sign-up for a 4G data plan. Anna Eshoo

Money Exactly Exactly What Data Consumers Know Getting Plan Deserve

Data helps solve problems. Anne Wojcicki

Problems Solve Data Helps

Big data is going to make us all healthier. Anne Wojcicki

Big Data Make Healthier Going Us

I want the world's data accessible. Anne Wojcicki

World Data Accessible Want

Big data is mostly about taking numbers and using those numbers to make predictions about the future. The bigger the data set you have, the more accurate the predictions about the future will be. Anthony Goldbloom

Future You Will Big Those About Data More Taking Make Mostly Accurate Bigger Predictions Using Set Numbers

If competition for Kaggle's top talent becomes fierce enough among banks, insurance companies, hedge funds - we hope the world's best data scientists will earn more than $50 million per year, just like the world's best hedge fund managers. Anthony Goldbloom

Hope Best World Competition Will Year Enough Earn Top Per Data More Talent Like Insurance Becomes Insurance Companies Scientists Than Managers Just Banks Hedge Fierce Companies Fund Among Million Funds

Data Quotes

No more data quotes