Join us for our ML in Sustainability Masterclass + Info Session for our upcoming ML Product Challenge (kicks off May 17th!). We’ll hear from awesome speakers in the ML Climate Action & Sustainability space + answer questions about our upcoming 4-week Product Challenge that you can join for free.

Speakers:
-Keynote: Arthur Berrill, Distinguished Technologist, RBC Climate Hub
-Lightning Talk: Real-time Forecasting and Remote Sensing for Decision Support in AgTech (Derek Steinmoeller, PhD, Aquanty)
-Lightning Talk: An Overview: Sustainability Analysis Framework and Influences of AI on the Sustainability Dimensions (Sedef Akinli Kocak, PhD, Vector Institute)
-Lightning Talk: Why Collaborative Models are the Future of AI in Agriculture (Michael C. Rubin, ODAPES & Drawndown Labs)

REGISTER HERE
https://mldgmegameetup3.eventbrite.ca/

We’ll also be answering any questions you have for our upcoming ML Product Challenge which kicks off May 17th on ML in Sustainability!
Network with your peers & find potential team mates!
We are excited to begin our 9th cohort, and dig into some fun deep learning concepts & productization elements over the course of our 4-week challenge.

JOIN THE CHALLENGE FOR FREE
https://ai.science/mvp

Topics covered: AI Product Development, MLOps and Engineering, Natural Language Processing, Explainable AI

Join us for our informal info session, where you’ll meet some of the team, get all your questions answered, and maybe even win some special prizes!

Product Challenge Details:
–> TL;DR: 4-week product challenge to learn and build innovative machine learning products
–> TECHNIQUES: AI Product Development, MLOps and Engineering, Natural Language Processing, Knowledge Graphs, Graph Neural Networks, Document Classification, Explainable AI
–> NETWORK: Connect with like-minded individuals in our 3000+ community of data scientists and ML engineers
–> BUILD A PRODUCT: Solve interesting business problems (your own or a sponsored project idea) in a structured and guided experience (build an actual MVP!)
–> WIN CASH PRIZE: Win awesome prize money with a team of people we match you with when your MVP is selected as the best solution!
–> ACCESS EXPERTS: Get guidance from senior industry practitioners on ML research, engineering, and product development
–> LEARN BY DOING: Access our entire library of expert curated content to quickly learn whatever you need to solve your problem
–> STAY COMPETITIVE: Make your portfolio more competitive by adding hands-on experience with building an ML product

More details here: https://ai.science/mvp