For questions related to machine learning (ML), which is a set of methods that can automatically detect patterns in data, and then use the uncovered patterns to predict future data, or to perform other kinds of decision making under uncertainty (such as planning how to collect more data). ML is usually divided into supervised, unsupervised and reinforcement learning. Deep learning is a subfield of ML that uses deep artificial neural networks.
Machine learning revolves around developing self-learning computer algorithms that function by virtue of discovering patterns in data and making intelligent decisions based on such patterns.
Machine learning explores the construction and study of algorithms that can learn from and make predictions about data. Such algorithms operate by building a model from the input, in order to make data-driven predictions or decisions, rather than following strictly static program instructions.
Related tags
- deep-learning
- reinforcement-learning
- q-learning
- unsupervised-learning
- supervised-learning
- meta-learning
- incremental-learning
Journals
- Journal of Machine Learning Research (Open Access)
- Machine Learning
- International Journal of Machine Learning and Cybernetics
- International Journal of Machine Learning and Applications (Open Access)
- International Journal of Machine Learning and Computing (Open Access)
