Latest episodes
Introducing Data Downtime: From Firefighting to Winning // Barr Moses // MLOps Coffee Sessions #19
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The Current MLOps Landscape // Nathan Benaich & Timothy Chen // MLOps Meetup #43
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When Machine Learning meets privacy - Episode 3 with Charles Radclyffe
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UN Global Platform // Mark Craddock // Co-Founder & CTO, Global Certification and Training Ltd // MLOps Meetup #42
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When Machine Learning meets Data Privacy - Episode 2 with Cat Coode
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Metaflow: Supercharging Our Data Scientist Productivity // Ravi Kiran Chirravuri // MLOps Meetup #41
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When You Say Data Scientist Do You Mean Data Engineer? Lessons Learned From Start Up Life // Elizabeth Chabot
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Luigi in Production // MLOps Coffee Sessions #18 // Luigi Patruno ML in Production
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When Machine Learning meets Data Privacy
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Analyzing the Google Paper on Continuous Delivery in ML // Part 4 // MLOps Coffee Sessions #17
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Hands-on serving models using KFserving // Theofilos Papapanagiotou // Data Science Architect at Prosus // MLOps Meetup #40
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Operationalize Open Source Models with SAS Open Model Manager // Ivan Nardini // Customer Engineer at SAS // MLOps Meetup #39
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Machine in Production = Data Engineering + ML + Software Engineering // Satish Chandra Gupta // MLOps Coffee Sessions #16
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MLOps + Machine Learning // James Sutton // MLOps Coffee Sessions #15
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Scalable Python for Everyone, Everywhere // Matthew Rocklin // MLOps Meetup #38
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MLOps Coffee Sessions #13 How to Choose the Right Machine Learning Tool: A Conversation // Jose Navarro and Mariya Davydova
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MLOps Coffee Sessions #14 Conversation with the Creators of Dask // Hugo Bowne-Anderson and Matthew Rocklin
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MLOps Coffee Sessions #12: Journey of Flyte at Lyft and Through Open-source // Ketan Umare
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MLOps Coffee Sessions #11: Analyzing “Continuous Delivery and Automation Pipelines in ML" // Part 3
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MLOps Meetup #36: Moving Deep Learning from Research to Prod Using DeterminedAI and Kubeflow // David Hershey, DeterminedAI
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MLOps Coffee Sessions #10 Analyzing the Article “Continuous Delivery and Automation Pipelines in Machine Learning" // Part 2
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MLOps Meetup #34: Streaming Machine Learning with Apache Kafka and Tiered Storage // Kai Waehner, Confluent
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MLOps Coffee Sessions #9 Analyzing the Article “Continuous Delivery and Automation Pipelines in Machine Learning “ // Part 1
MLOps Community,
MLOps Meetup #33 Owned By Statistics: How Kubeflow & MLOps Can Help Secure Your ML Workloads // David Aronchick - Head of Open Source ML Strategy at Azure
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MLOps Meetup #32 Building Say Less: An AI-Powered Summarization App // Yoav Zimmerman - Founder of Model Zoo
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MLOps Coffee Sessions #8 // MLOps from the Perspective of an SRE // Neeran Gul
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MLOps Meetup #31 // Creating Beautiful Ambient Music with Google Brain’s Music Transformer // Daniel Jeffries - Chief Technology Evangelist at Pachyderm
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MLOps Coffee Sessions #7 // MLOps and DevOps - Parallels and Deviations // Featuring Damian Brady
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MLOps Meetup #30 // Path to Production and Monetizing Machine Learning // Vin Vashishta - Data Scientist | Strategist | Speaker & Author
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