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Unsupervised Learning: Machine Learning,Supervised Learning,Reinforcement Learning ,Cluster Analysis ,Blind Signal Separation,Neural Network -

English
2026-05-10
€179.62 €224.53

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In machine learning, unsupervised learning refers to the problem of trying to find hidden structure in unlabeled data. Since the examples given to the learner are unlabeled, there is no error or reward signal to evaluate a potential solution. This distinguishes unsupervised learnin ... Full description

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Description

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In machine learning, unsupervised learning refers to the problem of trying to find hidden structure in unlabeled data. Since the examples given to the learner are unlabeled, there is no error or reward signal to evaluate a potential solution. This distinguishes unsupervised learning from supervised learning and reinforcement learning.Unsupervised learning is closely related to the problem of density estimation in statistics. However unsupervised learning also encompasses many other techniques that seek to summarize and explain key features of the data. Many methods employed in unsupervised learning are based on data mining methods used to preprocess data.

More Information

Publisher OmniScriptum
Release year 2026
Cover type Softcover
EAN 9786136083865
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€179.62 €224.53