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ML #20 - Exploratory Data Analysis in R
Hosted by Mike Mastanduno and Mike Levy
July 13, 2017 - 25min
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.
Full Broadcast Transcript
Links to Mentioned Materials:
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/
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