This blog post was jointly written by Jiangang Duan, Jie Huang and Weihua Jiang (Intel), Alex Gutow (Cloudera), and Dale Kim (MapR)
In continued efforts to optimize Deep Learning workloads on Intel® architecture, our engineers explore various paths leading to the maximum performance.
Apache Spark* (http://spark.apache.org/) is a fast and general engine for large-scale data processing.
Joseph Spisak, Director, Strategy and Business Development at Intel, discusses Intel’s machine learning strategy and its impact.
Radhika Rangarajan, Engineering Program Manager at Intel, discusses distributed machine learning on Apache Spark*.
Kent Moffat, Senior Product Manager at Intel, discusses Intel’s data analytics acceleration and math kernel libraries and how to get started.
John Miranda, Software Engineering Manager at Intel, discusses machine learning, big data analytics, artificial intelligence and cognitive computing and how these areas are driving career opportuni
The Beta for Intel® Distribution for Python* 2017 has been available for 1 month and I wanted to share some of our experiences.