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Data mining is a combination of various techniques like pattern recognition, statistics, machine learning, etc. While there is a good amount of intersection between machine learning and data mining, as both go hand in hand and machine learning algorithms are used for mining data, we will restrict ourselves in this article to only those tools ...

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Machine learning (ML) • One (important) part of AI • Making predictions (or decisions) • Getting better with experience (data) • Problems whose solutions are "hard to describe"

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Ebook Description. Provides information on the tools and techniques of data mining, covering such topics as data transformation, ensemble learning, and datasets, and presents instructions on the Weka machine learning software.

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Data Mining and Machine Learning, though many a times implemented together, are two different concepts. Data Mining: Data Mining is the process of extraction of data or previously unknown data patterns from a large set of data.

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Data mining is an extension of traditional data analysis and statistical approaches in that it incorporates analytical techniques drawn from a range of disciplines including, but not limited to, 268 Communications of the Association for Information Systems (Volume 8, 2002) 267-296

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