Latest episodes
        Build a Culture of ML Testing and Model Quality // Mohamed Elgendy // MLOps Coffee Sessions #76
MLOps Community,
        Towards Observability for ML Pipelines // Shreya Shankar // MLOps Coffee Sessions #75
MLOps Community,
        Scaling Biotech // Jesse Johnson // MLOps Coffee Sessions #74
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        On Structuring an ML Platform 1 Pizza Team //Breno Costa & Matheus Frata //MLOps Coffee Sessions #73
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        2021 MLOps Year in Review // Vishnu Rachakonda and Demetrios Brinkmann // MLOps Coffee Sessions #71
MLOps Community,
        Setting up an ML Platform on GCP: Lessons Learned // Mefta Sadat // MLOps Coffee Sessions #70
MLOps Community,
        2022 Predictions for MLOps and the Industry // Reah Miyara // MLOps Coffee Sessions # 70
MLOps Community,
        Building for Small Data Science Teams // James Lamb // MLOps Coffee Sessions #69
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        Wikimedia MLOps // Chris Albon // Coffee Sessions #68
MLOps Community,
        ML Stepping Stones: Challenges & Opportunities for Companies // John Crousse // Coffee Sessions #67
MLOps Community,
        Machine Learning at Reasonable Scale // Jacopo Tagliabue // MLOps Coffee Sessions #66
MLOps Community,
        The Future of Data Science Platforms is Accessibility // Skylar Payne // Video Only coffee #65
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        Impact of SWE in ML Projects // Laszlo Sragner and Tim Blazina // MLOps Reading Group
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        The Future of AI and ML in Process Automation // Slater Victoroff // MLOps Coffee Sessions #64
MLOps Community,
        PyTorch: Bridging AI Research and Production // Dmytro Dzhulgakov // Coffee Sessions #63
MLOps Community,
        ML Tests // Svet Penkov // Coffee Sessions #61
MLOps Community,
        Linkedin Job Recommendations // Alexandre Patry // CoffeeSessions #60
MLOps Community,
        Data Quality Over Quantity or Data Selection for Data-Centric AI // Cody Coleman // Coffee Sessions #59
MLOps Community,
        10 Types of Features your Location ML Model is Missing // Anne Cocos // Coffee Sessions #58
MLOps Community,
        The Future of ML and Data Platforms // Michael Del Balso - Erik Bernhardsson // CoffeeSessions #57
MLOps Community,
        A Few Learnings from Building a Bootstrapped MLOps Services Startup //Soumanta Das// Coffee Sessions #56
MLOps Community,
        Learning and Teaching MLOps Applications // Salwa Muhammad // MLOps Coffee Sessions #55
MLOps Community,
        Machine Learning SRE // Niall Murphy // MLOps Coffee Sessions #54
MLOps Community,
        MLOps Insights // David Aponte-Demetrios Brinkmann-Vishnu Rachakonda // MLOps Coffee Sessions #53
MLOps Community,
        Vector Similarity Search at Scale // Dave Bergstein // MLOps Coffee Sessions #52
MLOps Community,
        ML Security: Why should you care? // Sahbi Chaieb // MLOps Coffee Sessions #51
MLOps Community,
        Creating MLOps Standards // Alex Chung and Srivathsan Canchi // MLOps Coffee Sessions #50
MLOps Community,
        Aggressively Helpful Platform Teams // Stefan Krawczyk // MLOps Coffee Sessions #49
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        Tour of Upcoming Features on the Hugging Face Model Hub // Julien Chaumond // MLOps Coffee Sessions#48
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