Applied Machine Learning Using mlr3 in RApplied Machine Learning Using mlr3 in R, Edited by Bernd Bischl, Raphael Sonabend, Lars Kotthoff, and Michel Lang, Boca Raton, FL: CRC Press, Taylor & Francis Group, Chapman and Hall, 2024, xvii + 339 pp., $ 79.95 (pbk), ISBN 978-1-032-50754-5.: Edited by Bernd Bischl, Raphael Sonabend, Lars Kotthoff, and Michel Lang, Boca Raton, FL: CRC Press, Taylor & Francis Group, Chapman and Hall, 2024, xvii + 339 pp., $ 79.95 (pbk), ISBN 978-1-032-50754-5.
Stan LipovetskyPublished in: Technometrics (2024)
Keyphrases
- machine learning
- machine learning methods
- machine learning algorithms
- artificial intelligence
- computer vision
- data mining
- logistic regression
- learning algorithm
- computer science
- fuzzy logic
- linear regression
- computational intelligence
- natural language processing
- information extraction
- learning tasks
- pattern recognition
- information retrieval
- inductive logic programming
- machine learning approaches
- statistical methods
- inductive learning
- real time
- semi supervised learning
- support vector machine
- high dimensional
- data analysis
- feature selection
- real world