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Kalyan Veeramachaneni

Kalyan Veeramachaneni

6 posts published

Machine learning 2.0 - Engineering data driven AI products
Research

Machine learning 2.0 - Engineering data driven AI products

A paradigm shift from the current practice of creating machine learning models.

  • Max Kanter
  • Ben Schreck
  • Kalyan Veeramachaneni
Multiple authors Mar 6, 2018 • 1 min read
Bringing data science automation to the domain expert’s playground
Engineering

Bringing data science automation to the domain expert’s playground

In July, we visited Carnegie Mellon University to participate in the 17th annual Simon Initiative’s LearnLab Summer School on Educational Data Mining. During the program, we gave a talk on feature engineering and helped teams complete projects using Featuretools, an open source library for automated feature engineering. Introducing and

  • Kalyan Veeramachaneni
  • Max Kanter
Kalyan Veeramachaneni, Max Kanter Oct 4, 2017 • 5 min read
Deep Feature Synthesis
Research

Deep Feature Synthesis

Towards automating data science endeavors

  • Max Kanter
  • Kalyan Veeramachaneni
Max Kanter, Kalyan Veeramachaneni Sep 22, 2017 • 1 min read
Label, Segment, Featurize
Research

Label, Segment, Featurize

a cross domain framework for prediction engineering

  • Max Kanter
  • Kalyan Veeramachaneni
Max Kanter, Kalyan Veeramachaneni Dec 26, 2016 • 1 min read
What would a data scientist ask?
Research

What would a data scientist ask?

Automatically formulating and solving prediction problems

  • Ben Schreck
  • Kalyan Veeramachaneni
Ben Schreck, Kalyan Veeramachaneni Dec 26, 2016 • 1 min read
Towards increasing data scientists’ productivity by 1000x
Research

Towards increasing data scientists’ productivity by 1000x

How to make data scientists more efficient

  • Ben Schreck
  • Max Kanter
  • Kalyan Veeramachaneni
Multiple authors Oct 12, 2016 • 1 min read
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