Machine Learning with Python: Comprehensive Beginner’s Guide to Machine Learning in Python with Exercises and Case Studies by Jacobs Paige

Author:Jacobs, Paige [Jacobs, Paige]
Language: eng
Format: epub, pdf
Published: 2019-02-13T16:00:00+00:00

Only the most important attributes are in focus

The computational complexity of systems are reduced significantly

Reduced dataset makes output less complex and thus easy to understand and use in applications.

Cons

Data reduction may not be applicable depending on the nature of the dataset.

One of the other main disadvantages of data reduction is that some of the main essential data could be incorrectly thrown out during the reduction process thus negatively impacting the output results.

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