ML #20 - Exploratory Data Analysis in R

Hosted by Mike Mastanduno

July 13, 2017 - 25min

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Data exploration is an essential step in machine learning. While healthcare.ai helps simplify machine learning, you might wonder how to quickly visualize and learn your data’s characteristics and quirks. Join us with veteran R educator, Mike Levy, to discuss how to use R to rapidly explore and profile your data so that you can avoid headaches and build better machine learning models.

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In the news

• Privacy-preserving generative deep neural networks support clinical data sharing – bioRxiv – Deidentification Paper
  http://www.biorxiv.org/content/early/2017/07/05/159756.1.article-info
• Cardiologist-Level Arrhythmia Detection With Convolutional Neural Networks – Stanford ML Group – Cardiology paper
  https://stanfordmlgroup.github.io/projects/ecg/