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Index
Getting Started with Machine Learning in the Cloud
Executive Overview Introduction: The Data Opportunity
Machine Learning Solves Real-World Problems
Benefits of Deploying Machine Learning
Help You Make Smarter, Faster Decisions Help Remove Bias from Decision Making Leverage All Your Data Deliver a Better Customer Experience Streamline Operations and Reduce Costs
To Cloud or Not to Cloud?
Benefits of the Cloud
The Machine-Learning Life Cycle How to Get Started
Step 1: Formulate a Concrete, Achievable Goal Step 2: Assemble the Team Step 3: Achieve Quick Wins That Show the Value of Machine Learning Step 4: Evangelize to Get Executive Support Step 5: Operationalize/Productionize Machine-Learning Initiatives
Challenges of Getting Started with Machine Learning Best Practices for Machine Learning
Promote Intense Collaboration Get Started Now—but Don’t Try to Boil the Ocean Identify the Correct Success Metrics Democratize Access to the Data Automate as Much as Possible Don’t Abandon Your Common Sense Support Multiple Models at the Same Time Do Careful Version Control of Your Code for Reproducibility Monitor in Real Time
Case Studies
CaixaBank Case Study DX Marketing Case Study
Looking Forward: Better Hardware and Automation
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