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- # Explainable Machine Learning, Explained :bulb : #
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- A growing collection of resources about Machine Learning eXplainability.
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- Our objective is to cover both theory and practice, including:
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-
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- * high-level overviews & introductory examples;
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- * mathematical foundations;
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- * algorithmic implementations;
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- * practical advice & real-life caveats; and
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- * success & failure case studies.
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- We will be adding more eXplainable Machine Learning techniques
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- to our compendium over time, so stay tuned.
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- Cannot wait?
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- Contribute a technique description yourself.
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+ # GitHub Configuration of the XMLX Organisation #
Original file line number Diff line number Diff line change
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+ # Explainable Machine Learning, Explained :bulb : #
2
+
3
+ A growing collection of resources about Machine Learning eXplainability.
4
+ Our objective is to cover both theory and practice, including:
5
+
6
+ * high-level overviews & introductory examples;
7
+ * mathematical foundations;
8
+ * algorithmic implementations;
9
+ * practical advice & real-life caveats; and
10
+ * success & failure case studies.
11
+
12
+ We will be adding more eXplainable Machine Learning techniques
13
+ to our compendium over time, so stay tuned.
14
+ Cannot wait?
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+ Contribute a technique description yourself.
You can’t perform that action at this time.
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