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Interpretable Machine Learning

Machine learning has great potential for improving products, processes and research. But computers usually do not explain their predictions which is a barrier to the adoption of machine learning. This book is about making machine learning models and their decisions interpretable.

Created by Christoph Molnar


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What you’ll learn


In this educational resource you will acquire the skills sought by organizations these days. The most relevant technique within the learning opportunity that is frequently requested by companies is Data Modeling.

Who will benefit?


Contrasting content from this learning resource with nearly 10,000 data-related job advertisements, we determine that those in or pursuing Data Scientist roles would benefit the most.