Pymc-learn: Practical Probabilistic Machine Learning in Python.
Daniel EmaasitPublished in: CoRR (2018)
Keyphrases
- machine learning
- open source
- theoretical underpinnings
- real world
- bayesian networks
- programming language
- feature selection
- open source software
- pattern recognition
- machine learning algorithms
- generative model
- knowledge acquisition
- probabilistic logic
- practical application
- machine learning methods
- learning algorithm
- probabilistic model
- reinforcement learning
- data driven
- data mining
- natural language processing
- entry level
- learning systems
- active learning
- scripting language
- decision trees
- inductive logic programming
- computer science
- artificial intelligence
- learning problems
- learning tasks
- semi supervised learning
- computational intelligence