This blog post was jointly written by Jiangang Duan, Jie Huang and Weihua Jiang (Intel), Alex Gutow (Cloudera), and Dale Kim (MapR)
Apache Spark* (http://spark.apache.org/) is a fast and general engine for large-scale data processing.
Radhika Rangarajan, Engineering Program Manager at Intel, discusses distributed machine learning on Apache Spark*.
Using Intel® Data Analytics Acceleration Library to Improve the Performance of Naïve Bayes Algorithm in Python*This article discusses machine learning and describes a machine learning method/algorithm called Naïve Bayes (NB) . It also describes how to use Intel® Data Analytics Acceleration Library (Intel® DAAL)  to improve the performance of an NB algorithm.
This video shows how the Similarity API analyzes items in a data set and uses "memory voting" to find similar items.
BigDL is a distributed deep learning library for Apache Spark*; with BigDL, users can write their deep learning applications as standard Spark programs, which can directly run on top of existing Sp