Table of Contents
Preface
Section 1: Solving Business Challenges with Machine Learning Solution Architecture
Chapter 1: Machine Learning and Machine Learning Solutions Architecture
What are AI and ML?
Supervised ML
Unsupervised ML
Reinforcement learning
ML versus traditional software
ML life cycle
Business understanding and ML problem framing
Data understanding and data preparation
Model training and evaluation
Model deployment
Model monitoring
Business metric tracking
ML challenges
ML solutions architecture
Business understanding and ML transformation
Identification and verification of ML techniques
System architecture design and implementation
ML platform workflow automation
Security and compliance
Testing your knowledge
Summary
Chapter ...
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