Trained model and automatic model selection

Trained Model and Automatic Model Selection
- Python for Integrated Circuits -
- An Online Book -

Python for Integrated Circuits http://www.globalsino.com/ICs/

Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix

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In machine learning, the steps to building and using a model are:
          i) Define -- What type of model will it be? A decision tree? Some other type of model? Some other parameters of the model type are specified too.
          ii) Fit: Capture patterns from provided data. This is the heart of modeling.
          iii) Predict: Just what it sounds like.
          iv) Evaluate: Determine how accurate the model's predictions are.

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