Types of Machine Learning Systems Flashcards
what is supervised learning?
where data is labeled
what is unsupervised learning?
where data is unlabeled
what are the two categories are there is supervised learning?
classification and regression
what are the main categories in unsupervised learning?
clustering, visualising, dimensionality reduction, assocation rule learning
what is semisupervised learning?
for algorithms that can deal with partially labeled data
what is reinforced learning?
where learning systems can observe the environment and learn more over time to gain the most reward over time.
what is batch learning?
the systems learn incrementally, it must be training using all available data
what is online learning?
alternative to batch learning, where you train the system incrementally by feeding it instances sequentially, either individually or by small groups called mini-batches
what is out-of-core learning?
train huge datasets that cannot fit into memory by loading part of the data, running a training step and repeating until it has run on all of the data.
what is generalization?
how well a model works with new instances
what is instance-based learning?
where the system learns the instances, then generalises to new cases using a similarity measure
what is model-based learning?
build a model of instances and then use that model to make predictions
