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Accepting submissions till 15 Jun 2019, 01:00 PM
Jul 2019
22 Mon
23 Tue
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25 Thu 09:15 AM – 05:45 PM IST
26 Fri 09:20 AM – 05:30 PM IST
27 Sat
28 Sun
Accepting submissions till 15 Jun 2019, 01:00 PM
1. Meet Peter Wang, co-founder of Anaconda Inc, and learn about why data privacy is the first step towards robust data management; the journey of building Anaconda; and Anaconda in enterprise.
2. Talk to the Fulfillment and Supply Group (FSG) team from Flipkart, and learn about their work with platform engineering where ground truths are the source of data.
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4. Discuss interesting problems to solve with data science in agriculture, SaaS perspective on multi-tenancy in Machine Learning (with the Freshworks team), bias in intent classification and recommendations.
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Krishna Durai
@krishnadurai
Submitted Apr 14, 2019
Data science software teams find it tedious to implement ML workflows in a repeatable, maintainable and sustainable manner. Even if such a platform is developed, it has challenges with further inclusion of newer workflows or capabilities, portability across various infrastructure platforms (cloud, on-premise, and hybrid), scalability in terms of compute resources, and managing the number of teams using the platform.
In this talk, participants will learn about the Open Source Machine Learning Platform called Kubeflow. The Kubeflow project is “dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable”. Anywhere you are running Kubernetes, you should be able to run Kubeflow for your ML workloads. Through the live demo, participants will learn to use Kubeflow to create pipelines of different tasks which reflect their day to day ML tasks by using a Jupyter Notebook. The demo example will cover several components of a data-scientist’s day to day tasks including data pre-processing, training a model by first tuning hyperparameters through Katib, evaluating the model against test data and deploying it to serve predictions.
None
Cisco AI,
BTech Computer Science from Visvesvaraya National Institute of Technology, Nagpur
Krishna currently works as an open source developer for Kubeflow, the platform which this presentation is about, under the Cisco AI Cloud CTO Team. Cisco AI, as a group, are ranked third in the number of contributions by lines of code to Kubeflow (http://devstats.kubeflow.org/d/5/companies-summary?orgId=1).
Krishna has an experience of 3 years in designing and engineering AI platforms having previously worked with 3 different start-ups, including SigTuple, an AI based medical analysis platform which developed a platform called ‘Kurma’. Kubeflow solves the same problems which Kurma addresses in a sustainable manner with Kubernetes as its infrastructure layer. This transformation from proprietary software for ML to open source versions of it helps him draw a picture of the paradigm shift which we faced as developers, trying to solve the same problems within the bounds of our firm.
https://docs.google.com/presentation/d/1jUPHGcHVosVQItS3KUTImDVqzgYkJYuBh6e1vJoSSzE/edit?usp=sharing
Jul 2019
22 Mon
23 Tue
24 Wed
25 Thu 09:15 AM – 05:45 PM IST
26 Fri 09:20 AM – 05:30 PM IST
27 Sat
28 Sun
Accepting submissions till 15 Jun 2019, 01:00 PM
Hosted by
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