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

Section: Infrastructure
Type: Talks
Target Audience: Intermediate
Last Updated:

Hi,

Please upload the talk presentation for review by the Pycon India team.

Thanks!

Gourav Chawla (~Gouravchawla)

@Gouravchawla: Here is the link to a draft of the presentation - http://tuxdna.in/files/presentations/pycon-talk.pdf

Saleem Ansari (~tuxdna)

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