๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Data Mining: Practical Machine Learning Tools and Techniques

โœ Scribed by Ian H. Witten, Eibe Frank


Publisher
Morgan Kaufmann
Year
2005
Tongue
English
Leaves
558
Series
Morgan Kaufmann Series in Data Management Systems
Edition
2
Category
Library

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โœฆ Synopsis


I found many new interesting subjects reading this book. It helps me to look for other sources for information. It was really useful!


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Data Mining: Practical Machine Learning
โœ Ian H. Witten, Eibe Frank ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐Ÿ› Morgan Kaufmann ๐ŸŒ English

As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no al

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โœ Ian H. Witten, Eibe Frank ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐Ÿ› Morgan Kaufmann ๐ŸŒ English

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As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no al

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As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no al

Data Mining: Practical Machine Learning
โœ Ian H. Witten, Eibe Frank ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐Ÿ› Morgan Kaufmann ๐ŸŒ English

As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no al