Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning.
Harmanpreet KaurHarsha NoriSamuel JenkinsRich CaruanaHanna M. WallachJennifer Wortman VaughanPublished in: CHI (2020)
Keyphrases
- machine learning
- data analysis
- data sets
- database
- training data
- data distribution
- data processing
- image data
- data points
- computer systems
- knowledge discovery
- data mining
- end users
- high quality
- data mining tools
- data collection
- computational tools
- original data
- prediction accuracy
- data exploration
- big data
- sensor data
- background knowledge
- synthetic data
- high dimensional data
- data warehouse
- website
- artificial intelligence
- learning algorithm