This is the 3rd MLconf in NYC and we are very excited to see the audience growing! This year we are going to see companies like Maluuba presenting applications of deep learning in machine reading. In the same wavelength, Baidu will present their new open source platform for deep learning in speech recognition. Kilian Weinberger from Cornell is going to impress us with his recent “deep manifold traversal algorithm” that turns deep learning inside out and reveals all its secrets, get ready for a very impressive demo! Google and Facebook will defend their choices to pursuit deep learning with tensorFlow and Torch, while Mathias Brandewinder will show us the advantages of functional programming in machine learning development, from the Microsoft stack point of view. But machine learning is not only deep learning- Samantha Kleinberg will guide us through her new book about Causality, while Yael Elmatad and Damien Lefortier from Tapad and Criteo are here to remind us that online advertising one of the oldest success stories of machine learning can still provide us with useful algorithms, practices and insights. We are very happy to see Edo Liberty back at MLconf, explaining to the audience algorithms in his own unique way. Furong Huang, the winner of the MLconf Industry Impact Student Research Award, Sponsored by Google, will introduce us to the amazing world of tensors and how we can use them in practice.
Every year we are trying to introduce a novel feature at MLconf, in an effort to make your experience better. Last year we introduced the MLQuiz, which is aimed to help you improve comprehension of the content. Machine Learning bootcamps and training is growing and many data scientists are showing a lot of interest- This year METIS will demo a class during the afternoon break. We hope you find it valuable and enlightening. Additionally, Welch Labs will premier their new series of videos that have been embraced with enthusiasm in the past conferences.
Thanks for reading!
