Machine learning - Wikipedia, the free encyclopedia Machine learning, a branch of artificial intelligence, concerns the construction and study of systems that can learn from data. For example, a machine learning system could be trained on email messages to learn to distinguish between spam and non-spam mes
Machine learning - Wikipedia, the free encyclopedia Machine learning, a branch of artificial intelligence, concerns the construction and study of systems that can learn from ...
Machine - Wikipedia, the free encyclopedia A machine is a tool containing one or more parts that uses energy to perform an intended action. Machines ...
List of machine learning concepts - Wikipedia, the free ... 行動版 - List of machine learning concepts. From Wikipedia, the free encyclopedia. Jump to: navigation, search.
Online machine learning - Wikipedia, the free encyclopedia 行動版 - Online machine learning is used in the case where the data becomes available in a sequential fashion, ...
Weka (machine learning) - Wikipedia, the free encyclopedia 行動版 - Weka (Waikato Environment for Knowledge Analysis) is a popular suite of machine learning software ...
Supervised learning - Wikipedia, the free encyclopedia 行動版 - Supervised learning is the machine learning task of inferring a function from labeled training data.
Unsupervised learning - Wikipedia, the free encyclopedia 行動版 - In machine learning, the problem of unsupervised learning is that of trying to find hidden structure in ...
Active learning (machine learning) - Wikipedia, the free ... 行動版 - Active learning is a special case of semi-supervised machine learning in which a learning algorithm is ...
Boosting (machine learning) - Wikipedia, the free encyclopedia 行動版 - Boosting is a machine learning meta-algorithm for reducing bias primarily and also variance in ...
