Learning

The best way to Transform Time Series for Deep Learning

Forecasting with deep neural networksThe forecasts usually are not that good. The time series is small and we didn’t optimize the model in any way. Deep learning methods are known to be data-hungry. So,...

Scaling Media Machine Learning at Netflix Introduction Infrastructure challenges and components Case study: scaling match cutting using the media ML infra Conclusion and Future Work

By Gustavo Carmo, Elliot Chow, Nagendra Kamath, Akshay Modi, Jason Ge, Wenbing Bai, Jackson de Campos, Lingyi Liu, Pablo Delgado, Meenakshi Jindal, Boris Chen, Vi Iyengar, Kelli Griggs, Amir Ziai, Prasanna Padmanabhan, and Hossein...

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