Electron microscopy
 
PythonML
TensorFlow Data Validation (TFDV)
- Python Automation and Machine Learning for ICs -
- An Online Book: Python Automation and Machine Learning for ICs by Yougui Liao -
Python Automation and Machine Learning for ICs                                                           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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TensorFlow Data Validation (TFDV) is a useful tool for analyzing your data to identify potential issues, including missing values and data imbalances, which can contribute to fairness disparities. TFDV examines both training and serving data to calculate descriptive statistics, deduce a schema, and identify anomalies in the data.

TensorFlow Data Validation (TFDV) and Facets, which are tools developed by Google, can be used to analyze and understand machine learning datasets. These tools are particularly useful for inspecting datasets for potential biases that could affect the fairness and performance of machine learning models.

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