Hilary Mason Quotes

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I think e-mail should be sorted by importance, not by time.

The sender and subject line are actually the most important parts of an e-mail because people tend to put more important information in the subject.

In some ways, chocolate chip cookie recipes are my favorite algorithms. You put a bunch of bad-for-you stuff in a bowl and get a delicious result.

In tech entrepreneurship, even a lot of hack events tend to be overly commercial in that they're designed to produce companies.

The core advantage of data is that it tells you something about the world that you didn't know before.

As your competitors learn more, you'll need to learn, too.

Even smaller companies are putting resources behind their analytics teams in the same way they put resources behind engineering and product teams. There are some great tools out there that allow even tiny businesses to use data effectively.

Companies that rely on licensing a proprietary dataset should expect to be outpaced by competitors using modern data collection techniques and more frequent updates and greater accuracy.

I think of 'data science' as a flag that was planted at the intersection of several different disciplines that have not always existed in the same place. Statistics, computer science, domain expertise, and what I usually call 'hacking,' though I don't mean the 'evil' kind of hacking.

Data science is the combination of analytics and the development of new algorithms.

The job of the data scientist is to ask the right questions.

Deep learning allows you to create predictive models at a level of quality and sophistication that was previously out of reach. And so deep learning also enhances the product function of data science because it can generate new product opportunities.

Data science requires having that cultural space to experiment and work on things that might fail.

I grew up as a computer scientist, and I've always been fascinated by algorithms.

I'm very lucky to work at bitly, with a data set that allows us to explore human social behavior at the scale of human social behavior.

Science is the practice of failing repeatedly but learning as you go.

A good scientist can understand the current state of a field, pick interesting questions where a success will actually lead to useful new knowledge, and push that field further through their work.

To gain the competitive edge, companies must master the ability to innovate.

Technology is giving companies superpowers to compete more intelligently and capture the data behind changing trends, expanding markets, and new opportunities.

After graduate school, I joined Johnson & Wales University in Rhode Island as an assistant professor, but I continued to program in addition to teaching and working on research. I built a program that crawled job boards to determine which skills employers value, which helped Johnson & Wales explore ways to improve its curriculum.

I'm really curious about people - what their desires and interests are - and bit.ly's data tell me that. It gives me an unprecedented window into human communication and behavior.

I joined bit.ly as chief scientist in October of 2009. The company is a URL-shortener and content-sharing platform; we provide tools for people to share and track links on the Internet.

Teaching someone to program is like giving them a superpower.

It's really fun and challenging to build things that have never been built before.

I decided that since I was trying to teach 'style' of thinking in science and engineering, and 'style' is an art, I should therefore copy the methods of teaching used for the other arts - once the fundamentals have been learned.

When you start at Bitly, you go through this emotional cycle, where first you go, 'Oh my God, this data is amazing.' But then you start looking at it, and you conclude that humanity is completely doomed. Because what people read is cats and Bieber and celebrity gossip and that stuff.

I hope that, in the future, data is used to empower people and not just for marketing purposes.

I think we need more ambition about using our data to make our lives better.

It's rare that you can solve a technology problem with more technology.

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