The Conference for Machine Learning Innovation

Scaling Machine Learning Systems up to Billions of Predictions per Day

Session
Join the ML Revolution!
Register until January 23:
✓Raspberry Pi or C64 Mini for free
✓Save up to $330
✓ Group Discount
Register Now
Join the ML Revolution!
Register until January 23:
✓Raspberry Pi or C64 Mini for free
✓Save up to $330
✓ Group Discount
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Until Conference starts:
✓Special discount for Freelancers
✓10% Team Discount
Register Now
Join the ML Revolution!
Until Conference starts:
✓Special discount for Freelancers
✓10% Team Discount
Register Now

Whether it’s a linear regressor or a system of connected deep learning models, getting your models ready is half the battle. Did you design your machine learning system to survive the onslaught of visitors from your latest Reddit and Hacker News post? Or the influx of users shopping during Black Friday? Are you ready for a world filled with flakey networks, invalid data, and impatient users? In this talk you’ll learn how to design and architect your machine learning systems for the harsh realities it will face. We will show you how we tackled these problems in a real, complex machine learning system at OLX and scaled it to serve up to billions of predictions per day, using software engineering principles while debunking the myth that Python code cannot scale.

Behind the Tracks