Masis, Serg,  <br/><br/>
Interpretable machine learning with Python :   build explainable, fair, and robust high-performance models with hands-on, real-world examples /  
Serg Masis. 
 - 2nd ed. 
 - Mumbai :   Packt Publishing,  2022. 
 - xxvii, 576 p. :    24 cm. 
<br/><br/> Includes Index. 
<br/><br/> A practical guide to interpreting machine learning models using Python, covering model-agnostic and model-specific interpretation methods, feature importance, SHAP, LIME, bias mitigation, causal inference, and techniques for making models more robust, fair, and reliable. 
<br/><br/><label>ISBN: </label>9781803235424 (pbk.) 
<br/><br/><label>Subjects--Personal Names: </label> _ 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Machine learning.<br/>Python (Computer program language).<br/>Artificial intelligence.<br/>Algorithmic accountability.
<br/><br/><label>Dewey Class. No.: </label>006.3 SER