Data science, big data, artificial intelligence, machine learning… they’re all the rage. In this podcast, Jessi Cisewski-Kehe and Susan Wang, 2 statisticians, give you a perspective on what’s happening in the realm of all things data. Random bantering included.
DataBytes
Claim This Podcastby Jessi & Susan
5.0(6 reviews)
50 episodes
Updated Daily
Accepts GuestsHas Sponsors
Podcast Overview
Data science, big data, artificial intelligence, machine learning… they’re all the rage. In this podcast, Jessi Cisewski-Kehe and Susan Wang, 2 statisticians, give you a perspective on what’s happening in the realm of all things data. Random bantering included.
Language
🇺🇲
Publishing Since
11/29/2018
1 verified contact email on file for DataBytes
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Recent Episodes
January 24, 2020
#50: Extreme Classification: All You Need Is Some Hash (Functions)
<p>In part 2 of this saga on extreme classification, we get into the weeds on how MACH is able to magically handle such massive classification problems. The title says it all -- hash functions are the magical ingredient. We provide a step-by-step view of how one might come up with the MACH algorithm from first principles. </p>
January 17, 2020
#49: Extreme Classification: Going at MACH Speed (Part 1)
<p>In this episode, Dr. Derek Feng drops by to chat about a recent paper on a divide-and-conquer approach (Merged-Averaged Classifiers via Hashing) to massive classification problems. In part 1 (of 2 episodes), we describe the general problem solved by and strategy taken by MACH, wherein the original large classification problem is broken down into smaller-sized classification problems. Next week in the second episode, we talk about more technical details of how the division of labor works, and why it works.</p>
December 14, 2019
#48: Where Moneyball Meets Footy
<p>We've long heard about the waves that statistics has made in baseball. But what about soccer? In this episode, we summarize a few applications of statistics in European football (or American soccer). </p>
50 total episodes available
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- How often does this podcast release new episodes?
This podcast updates daily.
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This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
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Yes, this podcast regularly features guests.
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