Open prateek2408 opened 5 years ago
Hey @prateek2408 Thank you for your proposal. It looks very interesting. Could you please share the slide deck here so that we may skim through it once. In general, the content (from the blog) looks very promising. Are you sure one hour would be enough? You might want to make it more of a workshop - given the technologies you would be talking about :)
Hi @prateek2408. Updates on slides?
@MSanKeys963 - Hey, its in progress, It would be completed by this week
Hi @prateek2408. Are the slides done? We're having our next meetup on 11th May. Would you like to deliver this on the upcoming meetup?
@MSanKeys963 - I will upload the slides max by tomorrow. I will confirm about delivering this on the upcoming meetup
@prateek2408 can you update on slides and whether you can deliver this in the upcoming meetup?
@MSankeys963 - I am not able to gather enough time to complete the slides. Will do it soon.
Regarding the delivery I can present in the upcoming event on 11th May.
In case the slides are a must for the presentation, I can deliver the presentation in the next meetup.
Hi, @prateek2408. Would you like to deliver this in our upcoming meetup?
Abstract Machine learning is becoming a standard for doing analysis and it involves using a lot of computing resources. The time it takes to do machine learning is also important as an analyst has to do post processing based on the result. Making the entire modelling process run in parallel and using cloud computing makes ML powerful and enables ML run as a service.
Keywords: containers, machine-learning, ml, python, GRPC, Kubernetes, Docker, rabbit, parallel, cloud, cloud computing
Brief Description and Contents to be covered The agenda of this project is to provide Machine learning platform run as a service over cloud and leverage cloud computing to run modelling in parallel. Its a perfect blend of cloud software engineering in machine learning platform, making it more powerful and flexible. The following contents would be covered-
Pre-requisites for the talk Basic knowledge of ML
Time required for the talk 1hour
Link to slides Not done yet. Based on the following article- https://medium.com/dunnhumby-data-science-engineering/parallel-processing-of-machine-learning-algorithms-e1cff1151bef
Will you be doing hands-on demo as well? No
Link to ipython notebook (if any) None
About yourself Prateek Khushalani- Tech Lead at Dunnhumby linkedin
Are you comfortable if the talk is recorded and uploaded to PyData Delhi's YouTube channel ? Yes
Any query ? None