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Chapter 1: Introduction: Big data, Auto Machine Learning and Data Streams
Chapter 2: Transactional Machine Learning
Chapter 3: Industry Challenges with Data Streams and AutoML
Chapter 4: The Business Value of Transactional Machine Learning
Chapter 5: The Technical Components and Architecture for Transactional Machine Learning
Overview of a TML Solution
Chapter 6: Template for Transactional Machine Learning Solutions
CHAPTER 7: Visualize Your TML Model Insights: Optimization, Predictions and Anomalies
Chapter 8: Evolution and Opportunities For Transactional Machine Learning in Almost Every Industry
Chapter 9: Conclusion and Final Thoughts.

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