Big data analytics: Machine learning and Bayesian learning perspectives - What is done? What is not?
Shan SuthaharanPublished in: WIREs Data Mining Knowl. Discov. (2019)
Keyphrases
- bayesian learning
- machine learning
- big data analytics
- model selection
- big data
- cross validation
- social media
- data mining
- hyperparameters
- posterior distribution
- decision trees
- information extraction
- knowledge discovery
- active learning
- data analysis
- statistical methods
- table of contents
- learning algorithm
- marginal likelihood
- parameter estimation
- sample size
- text classification
- text mining
- probability distribution
- image segmentation