Agenda : 6:00pm - 6:30pm Check-in and networking over food and drinks 6:30pm: Talks Visualize all your data with Data Studio Applying Deep Convolutional Neural Nets to Video Games Talk: Visualize all your data with Data Studio Description: Large datasets in BigQuery might make it cost prohibitive to scale dashboard solutions. Unless carefully designed, solutions can lead to queries pili
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Agenda :
6:00pm - 6:30pm Check-in and networking over food and drinks
6:30pm: Talks
Visualize all your data with Data Studio
Applying Deep Convolutional Neural Nets to Video Games
Talk: Visualize all your data with Data Studio
Description: Large datasets in BigQuery might make it cost prohibitive to scale dashboard solutions. Unless carefully designed, solutions can lead to queries piling up with repeated viewing and result in significant costs in BigQuery. Google Data Studio lets users build interactive shareable data visualizations using their BigQuery data. In this session, we will show the common failure points and how you can build scalable, interactive, insightful dashboards in Data Studio from BigQuery data.
Talk: Applying Deep Convolutional Neural Nets to Video Games
Description: In this talk, Farza will be going over how he created a tool named "DeepLeague" which applies convolutional neural nets to do object detection within video games using YOLO-net. He'll be going over the process of how he programmatically built a custom dataset of 100,000 images, trained a neural network from scratch, and released the tool for popular professional gaming teams to use.
About the Speakers:
Minhaz Kazi is the Developer Advocate for Google Data Studio. As a business intelligence veteran, Minhaz is always exploring new ways for developers to collect, analyze, and visualize data. He is available for long discussions on circular reference errors, benefits of pie charts, SQL commas, and design of everyday things.
Hi! My name's Farza and I do lots of stuff :). Most recently, I've been doing lots of work in computer vision/deep learning and got my start in the field doing research in academia with self-driving cars. I then went on to apply deep learning to something I enjoy a lot: video games. I won't discuss it much here since that's what my talk is all about, but my work is currently being used by a number of professional gaming teams to help them improve their analytics. Other than vision, I love building augmented reality iOS apps in Swift and websites in Node :). I currently work for a y-combinator company as an engineer.
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