Exploring Causality and Community with Suzana Ilić

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

In this special #TWIMLfest episode, we’re joined by Suzana Ilić, a computational linguist at Causaly and founder of Machine Learning Tokyo (MLT).

Suzana joined us as a keynote speaker to discuss the origins of the MLT community, but we cover a lot of ground in this conversation. We briefly discuss Suzana’s work at Causaly, touching on her experiences transitioning from linguist and domain expert to working with causal modeling, balancing her role as both product manager and leader of the development team for their causality extraction module, and the unique ways that she thinks about UI in relation to their product.

We also spend quite a bit of time exploring MLT, including how they’ve achieved exponential growth within the community over the past few years and when Suzana knew MLT was moving beyond just a personal endeavor, her experiences publishing papers at major ML conferences as an independent organization, and inspires her within the broader ML/AI Community. And of course, we answer quite a few great questions from our live audience!

Thanks to our Sponsor!


We’d like to send a huge thank you to our friends at IBM for their sponsorship of TWIMLfest, and this episode of the podcast. IBM is committed to educating and supporting data scientists and bringing them together to explore technical, societal, and career challenges. Through the IBM Data Science Community site, which has over 14,000 members, they provide a place for data scientists to connect, collaborate, and empower one another. IBM’s Data Science Community site is a great place to engage with other practitioners and to access information and resources that inspire creativity and innovation. Go to twimlai.com/ibmcommunity to join and get a free month of select IBM Programs on Coursera.

Connect with Suzana!

Resources

Join Forces!

“More On That Later” by Lee Rosevere licensed under CC By 4.0

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