There are two fundamentally different and complementary ways of accelerating machine learning workloads:  By vertical scaling or scaling-up, where one adds more resources to a single machine  Or  2. By horizontal scaling or scaling-out, where one adds more nodes to the system But when it comes to the degree of distribution within a machine learning…

The post Top 11 Tools For Distributed Machine Learning appeared first on Analytics India Magazine.