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Machine Learning

Past Presentations

Solving Payment Fraud and User Security with ML

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...

Soups Ranjan Director of Data Science @Coinbase
Time Predictions in Uber Eats

Uber Eats has been one of the fastest-growing meal delivery services since its initial launch in Toronto in December 2015. Currently, it’s available in over 40 countries and 400 cities. The ability to accurately predict delivery times is paramount to customer satisfaction and retention....

Zi Wang Leading the Machine Learning Engineering Work for Time Predictions @UberEats
Architecture & Algorithms Powering Search @ZocDoc

Most physician search systems require patients to know exactly what they’re looking for, either in terms of the appropriate specialty for a given condition or the medical terminology to describe the condition. At Zocdoc, we have built a patient friendly search system to power our core doctor...

Pedro Rubio Engineering Manager @Zocdoc
Brian D'Alessandro Director of Data Science @Zocdoc
Online Learning & Custom Decision Services

We have been on a decade long quest to make online interactive learning, a routine fact of life for programmers everywhere. Online learning systems can react quickly to changes in behaviour and have wide ranging applications such as fraud detection, advertising click-through rate prediction, etc....

John Langford Leading Machine Learning Researcher, Vowpal Wabbit Contributor
Markus Cozowicz Senior Research Software Development Engineer @Microsoft
Automating Inventory at Stitch Fix

Stitch Fix is a personalized styling service for clothing and accessories. Items are selected by a stylist from initial personalized recommendations. The client keeps the items they love, and returns the rest, while providing detailed feedback. We use machine learning and analytics to power every...

Sally Langford Data Scientist @StitchFix
Deep Learning for Application Performance Optimization

Application performance has direct impact on business and scaling ability. Performance tuning usually involves periodically setting a number of parameters that control run-time environment including CPU, memory, threading, garbage collection, etc. In this session we present our experience and...

Zoran Sevarac Java and Neural Network Expert, Creator @Neuroph, & Founder @DeepNetts

Interviews

Mike Lee Williams Research engineer @Cloudera Fast Forward Labs

Probabilistic Programming from Scratch

What do you want someone to leave your talk with? 

The audience will leave with a strong non-mathematical intuition for how Bayesian inference allows us to quantify the strength of conclusions drawn from real-world data. They’ll hopefully be excited to solve other toy problems with the tool we put together during the talk, and keen to check out PyMC3.

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Golestan Sally Radwan PhD in AI and Computational Biology

From Software Development to ML - A Team's Transformation

QCon: What is the focus of your work?

Sally: Almost a year ago, I quit my job to finish my Phd. in AI and BioInformatics. It involves the use of AI techniques in the research of genetics and computational biology. Based on my Phd. research, I am also starting a company in the same space.

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Seth Katz Senior Software Engineer, Operational Insights @Netflix

How Machines Help Humans Root Cause Issues @Netflix

You're at Netflix. What team are you working on, and what's the focus of the work that you do?

I work on a team called operational insights.

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Corey Zumar Software Engineer @databricks

MLflow: An Open Platform to Simplify the Machine Learning Lifecycle

QCon What is the focus of your work today?

The focus of my work is MLflow: an open source platform for the complete machine learning lifecycle. The MLflow platform provides solutions for data collection, data preparation, model training, and model productionization.

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Jeff Smith Engineering Manager @Facebook AI

From Research to Production With PyTorch

What is the focus of your work today?

I work on PyTorch, which is an open source deep Learning framework developed here at Facebook. I specifically work with the team on a lot of the ways in which we enable the success of a broad open source community that spans both bleeding edge researchers as well as ML product engineers putting deep learning technology to use in...

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Zi Wang Leading the Machine Learning Engineering Work for Time Predictions @UberEats

Time Predictions in Uber Eats

What is that focus of your work today?

I’m currently leading the time prediction area for UberEats. As you can imagine, precise predictions are keys for the system’s efficiency and reliability. The features I’m working on are like predicting how long it will take to deliver the food to the eater, how long will the restaurant spend to prepare the food, etc....

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