Data Visualization for Machine Learning Practitioners
Julia Silge, Data Scientist and Software engineer at the R Consortium, presents on Data Visualization for Real-World Machine Learning Practionaires. Julia highlights how data visualization informs how we think, understand, and decide in the real-world. Julia also explains her use of data visualization practice in her area of work at the R Consortium. The presentation covers when practitioners build data visualization, a model evaluation, reasoning for plots built, and also gives an explanation of models.
Originally presented at R/Medicine 2021 by Julia Silge
https://r-medicine.org
Main Sections
0:00 Introduction
0:24 Data Visualization
1:08 Computer-based Visualization systems
2:18 When do practitioners build data visualization?
5:16 Exploratory data analysis
5:50 Model evaluation
8:33 Prioritize efficient iteration for EDA
11:49 Practinaires use data visualization during EDA
13:05 Why are these plots built?
16:08 Automatic plotting methods
16:54 Explaining models
19:38 Who are these plots for?
21:02 Thank you!
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