The Ledger, every show
Every statement that passed quotation and attribution checks, across all 44 shows. Pick shows below, then mix any filter with any other.
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every show 44 of 44
Jensen Harris: Machine learning algorithms will rapidly become commodities
“I think all of the algorithmic stuff in machine learning is going to be commodity. Like, there are, like, 20 places in the world where they're inventing new algorithms, and that's, you know, educational institutions and huge companies, and that's really import…”
Jensen Harris: Startups beat Google and Microsoft on tailored security policies
“A huge advantage that a startup has that some big company trying to do the same thing doesn't have, which is we can tailor our security policies, tailor the way that we handle the data, the way that we sanitize the data, and the way that we use the data in a v…”
Jensen Harris: Early ML startups should use cloud providers, not custom infrastructure
“Yeah, you don't need to custom build something, and you shouldn't spend any of your time working on that. Like, you should figure out what cloud platform you're using, whether it's AWS, or whether it's Azure, or something else. They all have built-in ML servic…”
Jensen Harris: Early ML startups need thousands, not billions, of data points
“We found in our sort of earliest days, like our first six months that we didn't have to, you know, really ingest tens of billions of things then. What we really needed was, you know, tens of thousands or hundreds of thousands of really good pieces of data.”
Jensen Harris: Textio uses off-the-shelf Python ML libraries, focusing on data pipelines
“Our actual, you know, machine learning algorithms and the core NLP stuff we do is the standard sort of Python libraries that You know, you can go download and use, but we have put an enormous amount of time into our data processing pipeline.”