Browse Lessons

What is Kubeflow? // Aniruddha Choudhury // Meetup #72 short clip

ML Drift - How to Identify Issues Before They Become Problems // Amy Hodler // MLOps Meetup #89

Wikimedia MLOps // Chris Albon // MLOps Coffee Sessions #68

The ML Test Score // Skylar Payne // MLOps Reading Group #2

ML Stepping Stones: Challenges & Opportunities for Companies // John Crousse // Coffee Sessions #67

Machine Learning at Reasonable Scale // Jacopo Tagliabue // MLOps Coffee Sessions #66

The Not So Talked About Reasons Model Monitoring Fails // Oren Razon // MLOps Meetup #88

Continuous Delivery for Machine Learning article by Martin Fowler // Coffee Session short clip #53

Data Quality Test // David Aponte // Coffee Session short clip #53

The Future of Data Science Platforms is Accessibility // Skylar Payne // MLOps Coffee Sessions #65

Model Monitoring: The Million Dollar Problem // Loka Team // MLOps Meetup #87

Impact of SWE in ML Projects // Laszlo Sragner and Tim Blazina // MLOps Reading Group #1

The Future of AI and ML in Process Automation // Slater Victoroff // MLOps Coffee Sessions #64

Durable Data Discovery: Making Exploratory Analysis Stick // James Campbell // MLOps Meetup #86

Cybersecurity Threats // Monika Venčkauskaitė // Meetup #70 short clip

PyTorch: Bridging AI Research and Production // Dmytro Dzhulgakov // MLOps Coffee Sessions #63

Data-Centric AI Means Centralizing Training Data // Alberto Rizzoli // MLOps Meetup #85

Reliable Machine Learning // Niall Murphy // Coffee Sessions #54 short clip

I Don't Like Jupyter Notebooks // Joel Grus // Coffee Sessions #62

MLOps at Volvo Cars // Leonard Aukea // MLOps Meetup #84

War Stories Prior to Having AI Development Process // Kseniia Melnikova // Meetup#65 short clip

ML Tests // Svet Penkov // Coffee Sessions #61

MLOps at Pinterest - System Design Review Lesson

KServe (Kubeflow KFServing) Live Coding Session // Theofilos Papapanagiotou // MLOps Meetup #83

Vector Search Breakdown // Dave Bergstein // Coffee #52 short clip

LinkedIn Job Recommendations // Alexandre Patry // Coffee Sessions #60

End to End MLOps Basics // Raviraja Ganta // MLOps Meetup #82

Federated Learning / Distributed Learning // Sahbi Chaieb // Coffee #51 short clip

Feast Feature Store Deep Dive // Felix Wang // MLOps Meetup #81

Doing MLOps // Noah Gift // MLOps Meetup #80

How mlctl Helps Intuit's Workflow // Srivathsan Canchi // Coffee Sessions # 50 short clip

Data Selection for Data-Centric AI: Data Quality Over Quantity // Cody Coleman //Coffee Sessions#59

10 Types of Features your Location ML Model is Missing // Anne Cocos // Coffee Sessions #58

Three Categories of SGT // Alex Chung // Coffee #50 short clip

The Future of ML and Data Platforms // Michael Del Balso - Erik Bernhardsson // CoffeeSessions #57

Managing Outcomes Generated by Data Scientists // Stefan Krawczyk // Coffee Sessions #49 short clip

Importance of Platform // Julien Chaumond // Coffee Sessions #48 short clip

A Few Learnings from Building a Bootstrapped MLOps Services Startup//Soumanta Das//CoffeeSessions#56

Engineering Best Practices for Machine Learning // Alex Serban // MLOps Meetup #79

Learning and Teaching MLOps Applications // Salwa Muhammad // MLOps Coffee Sessions #55

System Design for Recommendations and Search // Eugene Yan // MLOps Meetup #78

Make deep learning more accessible // Jeremy Howard // Coffee Sessions #47 short clip

Moldable Development with Glamorous Toolkit // Tudor Gîrba // MLOps Meetup #77

Machine Learning SRE // Niall Murphy // MLOps Coffee Sessions #54

Vector Similarity Search at Scale // Dave Bergstein // MLOps Coffee Sessions #52

Building Machine Learning Models into Docker Images // Luke Marsden // MLOps Meetup #76

SGT Working Group Aug 24, 2021 - mlctl and hydrosphere Open Source MLOps Libraries Demo

What MLOps Has Taught Me // Ewan Nicolson // MLOps Meetup #75