Table of Contents
Preface
Part 1 – Lay of the Land – Terms, Infrastructure, Types of AI, and Products Done Well
1
Understanding the Infrastructure and Tools for Building AI Products
Definitions – what is and is not AI
ML versus DL – understanding the difference
ML
DL
Learning types in ML
Supervised learning
Unsupervised learning
Semi-supervised learning
Reinforcement learning
The order – what is the optimal flow and where does every part of the process live?
Step 1 – Data availability and centralization
Step 2 – Continuous maintenance
Database
Data warehouse
Data lake (and lakehouse)
Data pipelines
Managing projects – IaaS
Deployment strategies – what do we do with these outputs?
Shadow deployment strategy
A/B testing model deployment strategy ...
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