Building a Recommender System for Open Source Software
Saleem Ansari (~tuxdna) |
7
Votes
Description:
In this talk I will present how to build a Recommender System, in the context of project Fabric8-Analytics
Fabric8-Analytics is the analytics component of the Online OpenShift environment. It is a complex microservices based architecture that serves as wonderful real-world application of how things work in real production system, which includes:
- Machine Learning, Text Analytics, Recommender Systems
- Cloud Base services ( storage, graph, web-apis etc. )
- Micro Services
- Containers, and orchestration
Speaker Info:
LinkedIn: https://www.linkedin.com/in/saleemansari/
Website: http://tuxdna.in