MLOps.community

A podcast by Demetrios

430 Episoade

Deep in the heart of data // Carl Steinbach // MLOps Coffee Sessions #22
Publicat: 18.12.2020
When machine learning meets privacy - Episode 7
Publicat: 17.12.2020
When Machine Learning meets privacy - Episode 6
Publicat: 14.12.2020
Human-centric ML Infrastructure: A Netflix Original // Savin Goyal // MLOps Meetup #44
Publicat: 14.12.2020
A Conversation with Seattle Data Guy // Benjamin Rogojan // MLOps Coffee Sessions #21
Publicat: 08.12.2020
Monzo Bank - An MLOps Case Study // Neal Lathia // MLOps Coffee Sessions #20
Publicat: 07.12.2020
When Machine Learning meets privacy - Episode 5
Publicat: 03.12.2020
When Machine Learning meets privacy - Episode 4
Publicat: 26.11.2020
Introducing Data Downtime: From Firefighting to Winning // Barr Moses // MLOps Coffee Sessions #19
Publicat: 24.11.2020
The Current MLOps Landscape // Nathan Benaich & Timothy Chen // MLOps Meetup #43
Publicat: 23.11.2020
When Machine Learning meets privacy - Episode 3 with Charles Radclyffe
Publicat: 19.11.2020
UN Global Platform // Mark Craddock // Co-Founder & CTO, Global Certification and Training Ltd // MLOps Meetup #42
Publicat: 16.11.2020
When Machine Learning meets Data Privacy - Episode 2 with Cat Coode
Publicat: 12.11.2020
When You Say Data Scientist Do You Mean Data Engineer? Lessons Learned From Start Up Life // Elizabeth Chabot
Publicat: 10.11.2020
Metaflow: Supercharging Our Data Scientist Productivity // Ravi Kiran Chirravuri // MLOps Meetup #41
Publicat: 10.11.2020
Luigi in Production // MLOps Coffee Sessions #18 // Luigi Patruno ML in Production
Publicat: 09.11.2020
When Machine Learning meets Data Privacy
Publicat: 05.11.2020
Analyzing the Google Paper on Continuous Delivery in ML // Part 4 // MLOps Coffee Sessions #17
Publicat: 03.11.2020
Hands-on serving models using KFserving // Theofilos Papapanagiotou // Data Science Architect at Prosus // MLOps Meetup #40
Publicat: 30.10.2020
Operationalize Open Source Models with SAS Open Model Manager // Ivan Nardini // Customer Engineer at SAS // MLOps Meetup #39
Publicat: 27.10.2020

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Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)

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430 Episoade

Deep in the heart of data // Carl Steinbach // MLOps Coffee Sessions #22

When machine learning meets privacy - Episode 7

When Machine Learning meets privacy - Episode 6

Human-centric ML Infrastructure: A Netflix Original // Savin Goyal // MLOps Meetup #44

A Conversation with Seattle Data Guy // Benjamin Rogojan // MLOps Coffee Sessions #21

Monzo Bank - An MLOps Case Study // Neal Lathia // MLOps Coffee Sessions #20

When Machine Learning meets privacy - Episode 5

When Machine Learning meets privacy - Episode 4

Introducing Data Downtime: From Firefighting to Winning // Barr Moses // MLOps Coffee Sessions #19

The Current MLOps Landscape // Nathan Benaich & Timothy Chen // MLOps Meetup #43

When Machine Learning meets privacy - Episode 3 with Charles Radclyffe

UN Global Platform // Mark Craddock // Co-Founder & CTO, Global Certification and Training Ltd // MLOps Meetup #42

When Machine Learning meets Data Privacy - Episode 2 with Cat Coode

When You Say Data Scientist Do You Mean Data Engineer? Lessons Learned From Start Up Life // Elizabeth Chabot

Metaflow: Supercharging Our Data Scientist Productivity // Ravi Kiran Chirravuri // MLOps Meetup #41

Luigi in Production // MLOps Coffee Sessions #18 // Luigi Patruno ML in Production

When Machine Learning meets Data Privacy

Analyzing the Google Paper on Continuous Delivery in ML // Part 4 // MLOps Coffee Sessions #17

Hands-on serving models using KFserving // Theofilos Papapanagiotou // Data Science Architect at Prosus // MLOps Meetup #40

Operationalize Open Source Models with SAS Open Model Manager // Ivan Nardini // Customer Engineer at SAS // MLOps Meetup #39