Explore how human and machine intelligences adapt to change in this GOTO Amsterdam 2022 conference talk. Delve into the neuroscience behind mental adaptation, including the role of the neocortex and cortical columns. Examine artificial neural networks, supervised learning, and inference in machine intelligence. Discover the importance of expectations and data labeling in AI systems. Learn about MLOps, production machine learning, and the process of training and deploying models. Gain insights from real-world examples and understand the different levels of MLOps implementation. Understand the challenges and best practices for adapting machine intelligence to a changing world, and how this relates to human adaptation processes.
Adapting to Change - How Machine Intelligences Adapt to a Changing World
Overview
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
