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Kalyan Veeramachaneni

Kalyan Veeramachaneni

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.
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
Oct 4, 2017 5 min read
Deep Feature Synthesis
Research

Deep Feature Synthesis

Towards automating data science endeavors
Sep 22, 2017 1 min read
Label, Segment, Featurize
Research

Label, Segment, Featurize

a cross domain framework for prediction engineering
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
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
Oct 12, 2016
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