Day #311 - Key Notes for Airbnb ML talks

ML Use cases

• Search Ranking 
• Smart Pricing (Demand Vs Supply)
• Fraud Detection (Risk Scoring)

Link1 - Forecasting Uncertainty at Airbnb - Theresa Johnson (Airbnb)

Insights will tell how it works, Model the business based on data flow/decisions involved.

See the problems as both

• Demand Problem
• Supply Problem

Loved the pool cleaner theory

• Demand Problem - Population, Household count, Number of cleanings
• Supply Problem - Number of cleaners, Available hours

Link2 - ML Airbnb

Key Lessons
ML tool for customized prices for each night instead of flat rates. The classic combination of demand, supply, peak pricing

Link3 - Bighead: Airbnb's end-to-end Machine Learning Platform | Airbnb

Design Goals

• Seamless (Easy to prototype)
• Versatile (All framework support)
• Consistent Environments

Tools - Redspot, BigHead, MLAutomator, Deep Thought

Slides - Link

Advanced ML Use Cases

• Categorizing Listings
• Experience Ranking
• Object Detection
• Customer Service Ticket Routing

Happy Learning!!!