logo dotConferences

Scaling Learning on Apache Spark

Sean Owen at dotScale 2016

Scaling up machine learning techniques to keep pace with "big data" is its own interesting engineering problem. Recently, Apache Spark has become a popular framework for large-scale ML. Sean introduces the intuition behind modern large-scale recommenders and highlights four ways ML algorithms are engineered to scale.


To see the slides, you can click here

More details

Additional resources: