Oct 12th & 13th with a pub night
|
|
|
|
FREE Virtual & In-person Gathering
Join us from anywhere at the virtual MLOps: Machine Learning in Production Bay Area micro-summit on the 12th (workshops) & 13th (talks)
Register here.
&
In-person pub gathering on Oct 13th from 6:00 PM PST at Southern Pacific Brewing Co. hosted by Superb AI & Arize.
Register here.
|
|
|
|
|
|
|
|
|
|
James Le
Data Advocate/Partnerships Lead, Superb AI
|
|
|
|
|
|
|
|
|
Amber Roberts
Machine Learning Engineer, Arize AI
Workshop: Troubleshooting your ML Models in Production
|
|
|
|
|
Jimmy Whitaker
Chief Scientist of AI, Pachyderm
Talk: Rethinking ML Development – A Data-Centric Approach
|
|
|
|
|
|
Head of Product, Masterful AI
Talk: Practical Approaches to Computer Vision
|
|
|
|
|
Rolando Garcia
PhD Candidate, UC Berkeley
Talk: Operationalizing Machine Learning: An Interview Study
|
|
|
|
|
|
|
|
|
|
Nikita Demir
Founding Engineer, Galileo
Talk: Common ML Data Issues in Public Datasets
|
|
|
|
|
Raymond Reed
Customer Success Data Scientist, WhyLabs
Talk: Monitoring CV Systems: A Unique Solution to A Unique Problem
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Thank you to our sponsors
|
|
|
|
|
MLOps & TMLS is an initiative to accelerate the growth of ML/AI. We have gathered the top insights, and expertise from our community of over 13,000 professionals.
An interactive conference is one in which you meet attendees before the event, message speakers directly, discuss specific areas of your work and establish a stronger network. Our goal is to help you with a clearer understanding of best practices, methodologies, and principles of effective ML.
|
|
|
|
|
October 7th, 2022 
Daniela Lopez de Luise 
Posted in Congress 
