Hands-On Machine Learning with IBM Watson by James D. Miller
Author:James D. Miller [James D. Miller]
Language: eng
Format: epub
Publisher: Packt Publishing
Published: 2019-03-29T07:12:42+00:00
Without digging too deep into the theories behind parameter selection, we'll say here that this step involves determining the possible parameter value combinations, looking at their overall fitting results, running the appropriate diagnostics to investigate any unusual behaviors by the model, and validating results generated by the model.
The following are the code blocks and selected outputs as implemented with IBM Watson Studio:
Let's take a look at the first code here that shows the examples of the parameter combinations:
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Computer Vision & Pattern Recognition | Expert Systems |
Intelligence & Semantics | Machine Theory |
Natural Language Processing | Neural Networks |
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