"A playbook for bridging business and data science worlds to effectively execute machine learning projects in business"-- Provided by publisher.

Series Foreword --Foreword / by Morgan Vawter -- Preface: A Brief History of Why Machine Learning Projects Stall -- Optional FAQ: What This Book Is about and Who It's For -- Introduction -- BixML: Six Steps to Machine Learning Deployment -- Value: Establish the Deployment Goal -- Target: Establish the Prediction Goal -- Performance: Establish the Evaluation Metrics -- Fuel: Prepare the Data -- Algorithm: Train the Model -- 6 Launch: Deploy the Model -- BizML Cheat Sheet -- Conclusion: ML's Elevator Pitch, Staff, Timeline, Upkeep, and Ethics