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Designing Better ML Systems: Learnings From Netflix

Data Science usage at Netflix goes much beyond our eponymous recommendation systems. It touches almost all aspects of our business - from optimizing content delivery to making our infrastructure more resilient to failures and beyond. Our unique culture of freedom & responsibility affords our...

Savin Goyal Engineer on the ML Infrastructure team @Netflix

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Data-Driven Development in the Automotive Field

Tuesday Nov 10 / 10:50AM PST

In the new era of new mobility where solving many challenging tasks of autonomous driving is not possible with classical software development. It is due to the fact that we cannot write every rule by hand and thus we would like to learn it from a huge amount of data recorded by different driving...

Toshika Srivastava AI expert @Audi

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Scaling & Optimising the Training of Predictive Models

Tuesday Nov 10 / 11:40AM PST

Modern Machine Learning has brought with it countless advances, both algorithmically and with respect to tooling; there is relentless growth on all fronts. Nevertheless, we are faced with a multitude of challenges when trying to pull all these threads of progress together in a meaningful way,...

Nicholas Mitchell Machine Learning Engineer at @argoai

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