Track: Machine Learning 2.0

Day of week:

Machine Learning has made our lives more productive from hailing a ride via Uber’s advanced ML-driven rider and driver matching, or Google Now predicting information you’d need before you need it. Machine learning has also made our lives safer allowing people to rent strangers’ houses via Airbnb or reducing the risk of fraud during online purchases. Recent advances in deep learning have brought more new technologies within our reach including self-driving cars, machine translation, predicting weather several years ahead, automated stock trading and more! In this track, come hear from practitioners about some interesting applications of machine learning and recent practical advances in deep learning.

Track Host:
Soups Ranjan
Director of Data Science @Coinbase
Soups Ranjan is the Director of Data Science at Coinbase, one the largest bitcoin exchanges in the world. He manages the Risk & Data Science team that is chartered with preventing avoidable losses to the company due to payment fraud or account takeovers. Soups has a PhD in ECE on network security from Rice University. He has previously led the development of Machine Learning pipelines to improve performance advertising at Yelp and Flurry. He is the founder of, a round-table forum for risk professionals in San Francisco to share ideas on stopping bad actors.

by Arshak Navruzyan
Founder @StartupML

While many organizations have amassed large collections of unlabeled image data, they often lack the machine learning expertise required to turn this data into useful knowledge and applications. What if there was an approach that allowed product managers to turn the latest deep learning advancements into production applications without the need to write code? With pre-trained models and an intuitive user-interface, we can enable non-engineers to apply modern deep learning capabilities to...

by Soups Ranjan
Director of Data Science @Coinbase

Coinbase is the one of the largest digital currency exchanges in the world. We store about $1B of digital currency (bitcoin, litecoin, ether) on behalf of our users. Given the instant nature of digital currency and that it can't be reversed, we have one of the hardest payment fraud and security problems in the world. We are hit by the most sophisticated scammers constantly and consequently we are at the forefront of the fight against fraudsters and hackers. We've witnessed and solved...


Monday, 26 June

Tuesday, 27 June

Wednesday, 28 June