Machine Learning
Past Presentations
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...
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...
Pragmatic Resiliency: Super 6 & Sky Bet Evolution
Sky Sports Super 6 is a free football results prediction game, launched in 2008. It’s extremely popular with over a million entries per week and drives a substantial proportion of our traffic at peak time, putting heavy load on our login/single sign on systems. This talk will focus on the...
Focusing On What Matters
We work and live in a bubble. Our limited perspective of what it means to use technology influences the way we build, the tools we use, and the tasks we prioritize. In the process, we risk losing the most powerful thing about the internet: its ubiquity. It's critically important that we broaden...
Policing The Stock Market with Machine Learning
Neurensic has built a solution, SCORE, for doing Trade Surveillance using H2O (an open-source pure Java Big Data ML tool), Machine Learning, and a whole lot of domain expertise and data munging. SCORE pulls in private and public market data and in a few minutes will search it for all sorts of bad...
Test Driven Machine Learning
Software engineers are familiar with test driven development, but are not familiar with the statistical testing required in machine learning. Machine learning specialists are familiar with testing during the model building phase when they withhold data for cross-validation or final testing, but...
Interviews
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...
Read Full InterviewPragmatic 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....
Read Full InterviewUnderstanding 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...
Read Full InterviewMachine 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...
Read Full InterviewThe 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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