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Ben Schreck

Ben Schreck

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
Feature Engineering vs Feature Selection
Engineering

Feature Engineering vs Feature Selection

All machine learning workflows depend on feature engineering and feature selection. However, they are often erroneously equated by the data science and machine learning communities. Although they share some overlap, these two ideas have different objectives. Knowing these distinct goals can tremendously improve your data science workflow and pipelines. This
Jan 4, 2018 7 min read
Applying Data Science Automation to Better Predict Credit Card Fraud
Use Cases Featured

Applying Data Science Automation to Better Predict Credit Card Fraud

An industry report from 2015 found that one out of every six legitimate cardholders experienced at least one declined transaction because of inaccurate fraud detection in the past year.
Oct 26, 2017 4 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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