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Photo by Valentin B. Kremer on Unsplash

Yoshua Bengio is a Deep Learning legend and won the Turing Award in 2018, along with Geoff Hinton and Yann LeCun.

In this short post, I want to highlight for you some clever things that Yoshua and his collaborators did to win a Machine Learning competition from a field of 381 competing teams. Perhaps these ideas will be useful for your own work.

In a world where powerful Deep Learning frameworks (e.g., TensorFlow, PyTorch) are a free download away, their competition-winning approach demonstrates nicely that your edge may come from how well you model the specifics of your problem.

(Caveat: This work was done in 2015. Given all the advancements in Deep Learning and computing hardware since then, Yoshua and team would probably solve the problem differently if the competition were held…


Rama Ramakrishnan

MIT Professor, AI/ML entrepreneur/advisor. Prev: Founder/CEO CQuotient, SVP Data Science Salesforce, Chief Scientist/VP Oracle Retail, McKinsey. MIT PhD.

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