ensemble learning
In machine learning, the use of multiple algorithms to obtain better predictive performance than from any of the constituent learning algorithms alone.
- Type of
- machine learning
Connected
More concepts & methods
- transfer learningresearch problem in machine learning (ML) that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem
- feedforward neural networkartificial neural network in which connections between the nodes do not form a cycle
- quantum machine learningQuantum Machine Learning combines quantum computing and ML to enhance algorithms, leveraging unique quantum properties, like superposition and entanglement , for efficient problem-solving.
- feature learninga set of techniques that learn a feature: a transformation of raw data input to a representation that can be effectively exploited in machine learning tasks
- AlexNettype of convolutional neural network
- online machine learninga method where a model is trained incrementally on data as it becomes available, in contrast to batch learning where the entire dataset is used at once
Sources
- Wikidata Q245652 (structured facts, CC0)
- Wikipedia