November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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Improving data or a data model
There are various parameters which are used for improving data or data model. In this section, we will be studying about a few of them.
There are much other acceptable or at least well-known methods or approaches that a data scientist may employ in an attempt to improve on a statistical model (other than regularization) and it's worth spending some time mentioning a few of the most popular:
- Simplification
- Relevance
- Speed
- Transformation
- Variation of coefficients
- Casual inference
- Back to regularization
- Reliability
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