Artificial Intelligence Hackathon

Overview:

Have you wanted to practice your machine learning skills interactively alongside other top engineers?  

Join us on July 24th for our first machine learning hackathon! We’ll work and learn interactively while working through interesting image classification tasks. We’ll start by introducing the problem and a few common strategies such as data generation and augmentation, then students will work in teams to build the best possible machine learning model. At the end, we’ll compare some common approaches to machine learning, and the engineers who make the most progress will be awarded a Google Home Mini as a prize.

While there are plenty of online resources, we know it's tough to learn a technical topic without support. Figure Eight has designed our machine learning curriculum so that every engineer has access to cutting-edge knowledge and training that you can take back to your work and use in your projects.

We are excited to be partnering with Google to give attendees Google Cloud credits

• New users to Google Cloud will receive $500 in credits

• Existing users will receive $200 in credits

What you need to bring:

Students need to bring a machine with wifi and the latest version of Chrome or Firefox.  

Takeaways:

• How to build and deploy an image classifier in the real world
• How to improve a classifier with data augmentation

Prerequisites:

Students should be familiar with Python and have built a machine learning model.

Meet the instructor:

Lukas has a passion for making ML accessible and teaching ML in an applied and fun fashion.  His main goal is to leave students with the resources and knowledge they need to go out in the world and build real world applications.  

Lukas Biewald is the founder of Figure Eight (Formerly CrowdFlower).  He is currently the founder & CEO of Weights & Biases whose mission is to build the best tool for AI practitioners. Prior to that, Lukas was the first data scientist at Powerset (Acquired by Microsoft and rebranded as Bing) and a scientist at Yahoo!, Lukas was shipping machine learning algorithms to hundreds of millions of users.  

 Lukas frequently teaches invited Machine Learning workshops with Figure EIght, Weights & Biases, Galvanize, O’Reilly and ODSC. He is a frequent contributor to Computerworld, Forbes and O’Reilly and has presented at the machine learning academic conferences such as AAAI, SIGIR, ACL and EMNLP. He was in Inc’s annual 30 under 30 and was also a finalist at TechCrunch Disrupt.

Testimonials and Feedback:

"I found it to be really engaging and interesting. I was already familiar with some ML concepts, so it helped me understand them better and think about how to apply them. The code samples are really great and will definitely reference them in the future. I thought the class went at a generally good pace."

 "Good experience - full of great resources and discussion. Good, practical intro for new folks, and also valuable for those familiar with the basics. I walked away excited to experiment!"

“Class was great, you ticked off my curiosity. I am excited to review the content and retry it by myself. Thank you for encouraging peer to peer collaboration and making the effort to build the slack channel. I think it was nice to see you debug live.”

About Figure Eight: 

Figure Eight is the essential Human-in-the-Loop AI platform for data science & machine learning teams. Our software platform trains, tests, and tunes machine learning models to make AI work in the real world. We support a wide range of data types–text, image, audio, and video–and use cases, including autonomous vehicles, consumer product identification, natural language processing, search relevance, intelligent chatbots, and more.