Everything Mike Driscoll said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Mike Driscoll: Data-holding entities will win as algorithms move to data
“Analytics and algorithms are light. Data is very heavy. So the natural course of things will be that the algorithms will move to where the data lives. And the entities that have the data will ultimately win because of that strategic advantage”
Mike Driscoll: Telcos hold the world's most powerfully predictive social graphs
“If you want to know who has the most powerfully predictive social graphs on the planet, it's the telcos, because who you call and who you text is an extraordinarily strong indicator of who you actually are connected to in a social way.”
Mike Driscoll: Klout is a bad company due to poor algorithms
“Clout's maybe a crappy company because their algorithms are bad”
Mike Driscoll: Solving real data problems beats taking data science courses
“I think that a lot of people who are interested in data science will, Decide that, you know, I gotta, I should go take a bunch of courses and read a bunch of books, and check a series of boxes, you know and I think that's actually the wrong approach. I think t…”
Mike Driscoll: Reject data science candidates who fail basic command-line tasks
“If someone can't get an answer to that, cannot pull that column off and turn it into a human readable date string, In the order of minutes, you do not want that person as a data scientist.”
Mike Driscoll: Installing Hive on a Hadoop cluster increases usage by 10x
“Once you install Hive onto Hadoop cluster, usage of that cluster typically goes up by a factor of 10 because you lower the friction of getting data out of that system.”
Mike Driscoll: Big pharma R&D cuts create data science recruiting opportunities
“Most big pharma actually have turned, reduced their investment in R&D, and many of, it's a great place to recruit data scientists is out of these pharma R&D labs.”
Mike Driscoll: Running algorithms via Apache Mahout on Hadoop is too slow
“I think the problem with Mahoot is that anything, it's, many of these things are, if you run in Hadoop, you're slow. You need to be able to run in an environment that's fast”
Mike Driscoll: Hire ML talent for structured problems, domain experts otherwise
“If your data is already structured well enough, and you've got a set of criteria to define the success of your machine learning algorithm, then you should hire the strongest pure machine learner you can find. You should find someone who would, you know, who's …”
Mike Driscoll: Combining human data labeling with machine learning outperforms pure automation
“People make this sort of distinction of either it's machine learning or it's people. Either you've got a team in India or, you know, Romania working through the data, trying to make sense of it or you've got some algorithm working on it, but I think there is a…”
the MAD Podcast 2