Introducing Seth Jaurez > @sethjuarez < presenting “Deep Learning for Computer Vision with Applications for Wildlife Conservation”.
Seth Juarez holds a Master’s Degree in Computer Science where his field of research was Artificial Intelligence, specifically in the realm of Machine Learning. Seth is a Microsoft Evangelist working with the Channel 9 team. When he is not working in that area, Seth devotes his time to an open source Machine Learning Library, specifically for .NET, intended to simplify the use of popular machine learning models, as well as complex statistics and linear algebra.
Deep Learning is one of the buzziest of tech buzz words at the moment. This session is designed to remove the mysticism from this amazing form of Artificial Intelligence. Attendees will be led through the wilderness of the foundational principles underlying modern machine learning until they reach the oasis of a full-fledged understanding of deep learning for computer vision. While this session is not for the faint of heart, initiates will attain a solid understanding of the basics of machine learning all the way through powerful image-deciphering convolutional neural networks.
Introducing Siyu Yang > @yangsiyu_ < presenting “Deep Learning for Computer Vision with Applications for Wildlife Conservation”.
Siyu is a data scientist at the AI for Earth program at Microsoft focusing on developing machine learning enabled solutions to aid environmental conservation efforts at university labs, startups, non-profits, and government agencies. Before joining this team, she worked on data powered code completion tools at Visual Studio.
At the AI for Earth program at Microsoft, we find new ways to use machine learning to solve global environmental challenges. This talk is an overview of several problems in wildlife conservation where computer vision is poised to make a significant impact. We will survey three different problems in this space: species classification from handheld photos, automated camera trap image processing, and animal detection from aerial imagery. For each area, we will discuss (1) why this problem is challenging from a computer vision perspective, (2) why solving this problem can support conservation, and (3) the data sets we’re working with and the models we’ve built to address this problem. The talk will also include a demo of the AI for Earth Species Classification API and the Camera Trap Animal Detection API.
What will attendees learn:
Find out what Microsoft’s AI for Earth program is all about
Understand how data, particularly visual data, is used by wildlife biologists for conservation.
Experience through live demos how computer vision techniques can bring value to people working with such data, and understand our plan to deploy these technologies.
ML4ALL 2019 is on. CFP is still open, a little longer. It’s closing on the 18th. In addition we’ve got tickets available for early birds, but those will be gone soon too so pick one up while you can, it’s only a $200.00 bucks. You’ll basically be getting a ticket to conference that’ll be 10x the value of one of these big corporate conferences for $200 bucks, in the awesome city of Portland, and I can promise you it’ll be a conference you’ll get more out of then you currently think you will! Join us, it’s going to be a great time!
This year’s ML4ALL is coming up real soon, more details over on the site, but here I’m providing some retrospective talks from last year to get you ready for this year’s ML4ALL!
In this talk Kirsten Westeinde (@kmkwesteinde) provides us insights into how your customers can gain superpowers through effective data use. Last year, I introduced Kirsten.
This year’s event is coming up, if you want to get deeper into, pr present on machine learning, learn ways to improve your use of, and eliminate biases like this then ML4ALL is going to be a great conference for you. Check it out, we have an open CFP, tickets are available (early bird still!)
We’re building up to ML4ALL 2019, and in the meanwhile I want to re-introduce some of the past speakers and show you their talks. This first, of the many, is Jon Oropeza. I introduced him last year here, so check out his talk and work, he’s got a lot of good stuff he’s put together!.