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Index
1. Introduction
2. What are Machine Learning and Artificial Intelligence (AI)?
3. What Do the Scores Generated by a Predictive Model Represent?
5. How Does Machine Learning Work?
6. Using a Predictive Model to Make Decisions
7. That’s Scorecards, but What About Decision Trees?
8. Neural Networks and Deep Learning
9. Unsupervised and Reinforcement Learning
10. How to Build a Predictive Model
11. Operationalizing Machine Learning
12. The Relationship Between Big Data and Machine Learning
13. Ethics, Law and the GDPR
14. The Cutting Edge of Machine Learning
15. When Can I Buy a Self-Driving Car?
16. Concluding Remarks
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