“Assuming we can solve this perfectly, what is the first thing we'll do with it that makes sure it has immediate relevance to the product, or the business, or the system you're building? Because there are a lot of super cool ideas that do not tie directly to the goals of your company, and this one makes sure that there is at least one obvious, good, compelling reason to put your time into this thing.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
(the analysis reads context, assessments check outside sources). how →
More from Hilary Mason
Insight
Hilary Mason: Startups must understand how their machine learning models work
“Won't speak for the large companies or people who are working on very specific problems, but when you're generally building systems that in a startup environment, it's really important to understand why your system is doing the thing it's doing, or else it's g…”
Hilary MasonDec 5, 2013▶ 17:20Hilary Mason // Data Driven NYC 20 // Nov 2013
AssertionNot checkable as stated
Mason: Deep learning completely removes the need for domain feature engineering
“In deep learning, you're not doing feature engineering anymore. Nobody cares about what you know about the domain.”
Hilary MasonDec 8, 2016▶ 20:20A Process for Discovery // Hilary Mason, Fast Forward Labs [FirstMark's Data Driven]
AssertionNot checkable as stated
Mason: Sentiment analysis remains fundamentally unsolved due to lacking ground truth
“I think there are a couple of things that everyone thinks are solved problems that are absolutely not, and so something like sentiment analysis is something where we sort of take for granted that you can just plug into an API and get a number back, but this is…”
Hilary MasonDec 8, 2016▶ 21:46A Process for Discovery // Hilary Mason, Fast Forward Labs [FirstMark's Data Driven]
Insight
Hilary Mason: Separating R&D from product rarely works for tech companies
“I have seen companies that successfully separate, ah, research and development as long as everyone still eats lunch together but generally that doesn't seem to be a great approach in that you eventually end up with a research department off in the corner publi…”
Hilary MasonDec 5, 2013▶ 18:52Hilary Mason // Data Driven NYC 20 // Nov 2013
Insight
Hilary Mason: Data science sits at the intersection of math, engineering, and hacking
“I tend to think that data science exists in the middle of all of these things. So math, statistics, computer science, and the ability to write algorithms, engineering, and then hacking”
Hilary MasonDec 5, 2013▶ 5:28Hilary Mason, Bitly // Data Driven NYC #3 // Feb 2012
AssertionNot checkable as stated
Hilary Mason: Bitly data shows zero overlap between NYT and Fox News readers
“Nobody who reads the New York Times reads Fox News.”
Hilary MasonDec 5, 2013▶ 14:47Hilary Mason, Bitly // Data Driven NYC #3 // Feb 2012
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