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Machine Learning

Past Presentations

[CANCELLED] [Cancelled] Maze Runner: Navigate Reinforcement Learning w/ Java

Lost and alone, our abandoned Java robot is forced to find its way through a series of rooms that all look the same. How can we help it? What algorithms can we use?   Reinforcement learning can help us, using one easy* algorithm and a lot of repetition. This talk will focus on getting the...

Katharine Beaumont Software developer
The Fast Track to AI with Javascript and Serverless

Most people associate AI and Machine Learning with the Python language. This talk will explore how to get started building AI enabled platforms and services using full stack Javascript and Serverless technologies. With practical examples drawn from real world projects the talk will get you up and...

Peter Elger Co-Founder & CEO @fourtheorem
Logistics as a Service: Building the Ocado Smart Platform

Selling groceries online at a profit is considered by many to be the Holy Grail of retail. The Ocado Smart Platform is the result of 15 years of learning through the application of technology to this domain, from control protocols for an army of 1000 warehouse robots, through optimising...

Paul Sweetman Head of Software Architecture @Ocado
Alex Harvey Head of Robotics and Autonomous Systems @Ocado
Real-Time Data Analysis and ML for FraudPrevention

PayPal processes about a billion dollars of payment volume daily ($354bn in FY2016); complex decisions are made for each transaction or user action, to manage risk and compliance, while also ensuring good user experience. PayPal users can make payments immediately in 200 countries with the...

Mikhail Kourjanski PayPal Lead Data Architect, Risk and Compliance Management Platform
Machine Intelligence at Google Scale

The biggest challenge of Deep Learning technology is the scalability. As long as using single GPU server, you have to wait for hours or days to get the result of your work. This doesn't scale for production service, so you need distributed training on the cloud eventually, or take advantage of...

Guillaume Laforge Developer Advocate at Google Cloud and PMC Chair for Apache Groovy
Real-Time Decisions Using ML on the Google Cloud Platform

Ocado Technology is providing a full solution to put the world’s retailers online using the cloud, robotics, AI and IoT. Processing tens of thousands of orders every day, we generate millions of events every minute, leading to huge amount of data to be managed. We will present how this Big Data...

Carlos Garcia Ocado Smart Platform Fraud Team Lead
Przemyslaw Pastuszka ML Engineer @Ocado

Interviews

Carlos Garcia Ocado Smart Platform Fraud Team Lead Przemyslaw Pastuszka ML Engineer @Ocado

Real-Time Decisions Using ML on the Google Cloud Platform

What is the focus of your work today?

Carlos: The team is currently building the new ML-powered fraud application, to be used by fraud agents at Ocado and also other retailers using our Ocado Smart Platform. The team is currently focused on building the pipelines that allow us to integrate the real-time production systems with the “big data” stored in Google Cloud and...

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Michael Maibaum Chief Architect @SkyBet

Pragmatic Resiliency: Super 6 & Sky Bet Evolution

What is your talk about?

You go to a lot of conferences and you hear people from Google or Netflix talking about reactive architectures or the Simian army or whatever, and it all feels quite unattainable for a lot of people. It's like this big complicated thing, there is not much like those systems. And Sky Bet has changed quite a lot over the last few years....

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Jessica Yung Machine Learning blogger and entrepreneur, Self-Driving Car Engineer Scholar @nvidia

Understanding Deep Learning

Tell me a bit about your experience with deep learning.

I frequently use deep learning for a range of different things, very often with time series. Previously I worked in finance. We tried to predict different kinds of stock prices, bond prices and economic indicators. I also worked with self-driving cars. The inspiration for this talk was really very much based in what I was doing because...

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Sherin Thomas Senior Software Engineer @Lyft

Machine Learning Through Streaming at Lyft

What is the work you are doing today?

I work for a ride sharing company called Lyft. Our mission is to improve people's lives through the world's best transportation. For the last two and a half years, I have been working on the streaming platform team. In the ride sharing world, it is imperative to build the most recent state of the world and take decisions based...

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Peter Elger Co-Founder & CEO @fourtheorem

The Fast Track to AI with Javascript and Serverless

What is the work that you are doing today?

A lot of our work involves three threads. We're very active in serverless. And a lot of that is actually looking at legacy world challenged platforms and helping transform them into systems that can run in a serverless way. There's a lot of organizations that have realized that the economic operating model for cloud and...

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