This is an area in which algorithms such as parallel versions of Logistic Regression, Random Forest, Neural Networks, etc. are used to conduct machine learning on big data sets in distributed systems.
This is an area in which algorithms such as parallel versions of Logistic Regression, Random Forest, Neural Networks, etc. are used to conduct machine learning on big data sets in distributed systems.