The Fifth Elephant winter edition 2019

The Fifth Elephant winter edition 2019

Winter edition of India's most renowned conference on big data and data science

The Fifth Elephant is rated as India’s best conference on big data, data science and application of data to real-life use cases.

It is a conference for practitioners, by practitioners. The Fifth Elephant completed its seventh edition in Bangalore, on 26 and 27 July 2018. The Bangalore edition caters to data and ML engineers, architects, technologists, data scientists, product managers, researchers and business decision-makers.

Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more

Siddhant Srivastava

@siddhant0509

One platform to rule it all - ML at scale

Submitted Oct 16, 2018

ML plays a key role at Swiggy from restaurant recommendations to DE assignments. Vidura, ML platform is a group of services that aims to democratize data science experiments through rapid iteration and applying the best engineering practices to the Data science process.

Outline

  1. ML at swiggy
  2. Initial iterations
    • Design consideration
    • Problems
  3. Vidura
    • ML Process
      • Experimentation
      • Productionizing
      • Feature Engineering
      • Maintenance
      • Metrics
      • Outcomes
    • Architecture
      • Reactive design
      • Whats next
    • Democratizing with forecasting and simulation

Speaker bio

Senior Software engineer at Swiggy working on building a scalabale Data Platform and Machine Learning Tooling

Slides

https://docs.google.com/presentation/d/1ujISTm3kJkHQoF5UHwuGP2CkF0iDS-KTY7Tn-H20g6o/edit?usp=sharing

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Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more