Submit a talk on data
Submit talks on data engineering, data science, machine learning, big data and analytics through the year – 2019
Submit talks on data engineering, data science, machine learning, big data and analytics through the year – 2019
##This space is open for submitting proposals on data engineering, data science, machine learning, big data and analytics through the year in 2019.
We will host data events round the year, in 2019. Talks for these conferences will be selected from here. Submit a proposal any time.
##Should you have queries, write to us on fifthelephant.editorial@hasgeek.com or call us on 7676332020
Sanket Sudake
Deploying applications with containers is now a de-facto standard & Kubernetes is a preferred orchestrator for deploying containers. Using kubernetes to build/train/deploy machine Learning application is desired considering out-of-box feature which kubernetes provides like autoscaling, self-healing, rolling upgrade support etc.
Kubeflow is an open-source machine learning toolkit built on top of kubernetes which helps you in different stages of ML application development lifecycle. This talk provides an overview of Kubeflow and how it can be used for ML development with a sample demos.
I work as Technical Lead at Infracloud Technologies. Recently, I started exploring different infrastrucutre related problems in Machine Learning space. I am also an active contributor to Openstack. My core interest areas are distributed systems and networking technologies. Prior to this he worked at Veritas as Linux Kernel Engineer.
https://docs.google.com/presentation/d/1aLgBEfGdMrNE7I3u6NOW2oZ32V8CUI_pwSdoxAy_DD0/edit?usp=sharing
{{ gettext('Login to leave a comment') }}
{{ gettext('Post a comment…') }}{{ errorMsg }}
{{ gettext('No comments posted yet') }}