#4 Realistic Approaches To Machine Learning At GOJEK

Go Figure by Gojek

A tartalmat a Gojek biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Gojek vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

5+ y ago 56:34

MP3•Epizód kép

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on August 02, 2022 05:06 (2+ y ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

In this episode, Andrew Brinson - SVP, Marketplace at GOJEK and Maneesh Mishra, VP of Data Science at GOJEK joins Nadiem Makarim - Founder of GOJEK to discuss black box models, supervised and unsupervised learnings, as well as how to predict better in the marketplace, using exabytes of data from all over the place. Get an almost full understanding of day to day applications of theories we read about in magazines and books, in a unicorn startup.

34 epizódok

#Tech #Gojek #Unicorns #Startup #Business #Investing #Technology #Mobileapps #Superapp #Ride Hailing #Food Delivery #Online Payments