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The talk compares how human and machine intelligence respond to change, then examines production ML practices for adapting models, including CI, training, and deployment.
Syllabus
Intro
Change can be stressful
Do I need to adapt?
Mental adaptation
Neocortex
Cortical columns
Reference frames
Machine intelligence
Artificial neural networks
Supervised learning
Prediction aka inference
Expectations
Machine expectations
Labeling data
Consequences
MLOps
Production ML
Tales from the trenches
Production ML research
Process
What is MLOps?
CI, deployment & training
Training & deploying models
TFX production components
MLOps Level 0
Outro
Taught by
GOTO Conferences