Machine Learning Workflow
- Python for Integrated Circuits - - An Online Book - |
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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 | ||||||||
================================================================================= Figure 4095 shows simplified overview of a machine learning workflow. The machine learning model is trained on input data gathered from different databases. Once it is trained, it can be applied to make predictions for other input data.
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[1] Siwar Chibani and François-Xavier Coudert, Machine learning approaches for the prediction of materials properties, APL Mater. 8, 080701 (2020); https://doi.org/10.1063/5.0018384.
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