Understanding Open Source Contributor Profiles in Popular Machine Learning Libraries.
Jiawen LiuHaoxiang ZhangYing ZouPublished in: CoRR (2024)
Keyphrases
- open source
- machine learning
- machine learning methods
- text classification
- machine learning algorithms
- learning algorithm
- explanation based learning
- decision trees
- open source software
- inductive learning
- pattern recognition
- knowledge acquisition
- text mining
- information extraction
- learning tasks
- data analysis
- digital libraries
- machine learning approaches
- feature selection
- machine learning and data mining
- learning problems
- protein secondary structure prediction
- natural language processing
- model selection
- source code
- database
- support vector machine
- natural language
- training data
- case study
- multimedia
- metadata
- neural network
- data sets