Uber's ML Systems (Uber Eats, Customer Support), Declarative Machine Learning - Piero Molino - The Data Scientist Show #064

The Data Scientist Show

Indhold leveret af Daliana Liu. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Daliana Liu eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

10M ago 1:50:05

MP3•Episode hjem

Piero Molino was one of the founding members of Uber AI Labs. He worked on several deployed ML systems, including an NLP model for Customer Support, and the Uber Eats Recommender System. He is the author of Ludwig , an open source declarative deep learning framework. In 2021 he co-founded Predibase, the low-code declarative machine learning platform built on top of Ludwig. Piero's LinkedIn: https://www.linkedin.com/in/pieromolino

Predibase free access: bit.ly/3PCeqqw

Daliana's Twitter: https://twitter.com/DalianaLiu

Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu

(00:00:00) Introduction

(00:01:54) Journey to machine learning

(00:03:51) Recommending system at Uber Eats

(00:04:13) Projects at Uber AI

(00:09:34) Uber's customer obsession ticket system

(00:16:01) How to evaluate online-offline business and model performance metrics

(00:17:16) Customer Satisfaction

(00:28:38) When do you know whether a project is good enough

(00:41:50) Declarative machine learning and Ludwig

(00:45:32) Ludwig vs AutoML

(00:54:44) Working with Professor Chris Re

(00:58:32) Why he started Predibase

(01:07:56) LLM and GenAI

(01:10:17) Challenges for LLMs

(01:22:36) Advice for data scientists

(01:34:29) Career advice to his younger self

90 episoder

#Tech #Daliana Liu