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XAI Lecture Recording: PPD/ICE (Part 3)

This lecture will cover theoretical aspects of PDP and ICE, explaining how both methods operate.

From  Auste Simkute on July 14th, 2021 0 likes 1 plays 0  

XAI Lecture Recording: PPD/ICE (Part 2)

This lecture will cover theoretical aspects of PDP and ICE, explaining how both methods operate.

From  Auste Simkute on July 14th, 2021 0 likes 1 plays 0  

XAI Lecture Recording: PPD/ICE (Part 1)

This lecture will cover theoretical aspects of PDP and ICE, explaining how both methods operate.

From  Auste Simkute on July 14th, 2021 0 likes 3 plays 0  

XAI Lecture Recording: InTrees (Part 3)

This lecture will cover InTrees, which is a model-specific XAI method for tree ensembles.

From  Auste Simkute on July 14th, 2021 0 likes 1 plays 0  

XAI Lecture Recording - Anchors (Part 2)

This lecture will cover the Anchors approach for XAI.

From  Auste Simkute on July 7th, 2021 0 likes 1 plays 0  

XAI Lecture Recording - Anchors (Part 1)

This lecture will cover the Anchors approach for XAI.

From  Auste Simkute on July 7th, 2021 0 likes 1 plays 0  

XAI Lecture Recording - Deletion Diagnostics (Part 3)

This lecture will cover the Deletion Diagnostics technique.

From  Auste Simkute on July 7th, 2021 0 likes 1 plays 0  

XAI Lecture Recording - Deletion Diagnostics (Part 2)

This lecture will cover the Deletion Diagnostics technique.

From  Auste Simkute on July 7th, 2021 0 likes 1 plays 0  

XAI Lecture Recording - Deletion Diagnostics (Part 1)

This lecture will cover the Deletion Diagnostics technique.

From  Auste Simkute on July 7th, 2021 0 likes 1 plays 0  

XAI Lecture Recording - Framework for XAI (Part 1)

This lecture will cover several frameworks outlining differences between transparent and opaque ML models, different XAI techniques, and types of explanations.

From  Auste Simkute on July 7th, 2021 0 likes 2 plays 0  

XAI Lecture Recording - SHAP (Part 2)

This lecture will provide an overview of one of the most popular XAI techniques - SHAP.

From  Auste Simkute on June 30th, 2021 0 likes 1 plays 0  

Divisive clustering (top-down)

Divisive clustering (top-down)

From  Nigel Goddard on September 25th, 2016 1 likes 1,951 plays 0  

Eigenvalue = variance along eigenvector

Eigenvalue = variance along eigenvector

From  Nigel Goddard on September 25th, 2016 1 likes 1,788 plays 0