Create Readme.md

Author: ZebinYang

docs/Workshop/202306-RiskLearning/Readme.md

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+## June 2023 Risk Learning Workshop<a name="Example"></a>   
+
+Click the ipynb links to run examples in Google Colab:  
+
+Session_3_Post_hoc_Explainability: <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202306-RiskLearning/Session_3_Post_hoc_Explainability.ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20">  ipynb</a>  
+Session_4_Feature_Selection_and_Causality: <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202306-RiskLearning/Session_4_Feature_Selection_and_Causality.ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20">  ipynb</a>  
+Session_5_Deep_ReLU_Networks_as_Local_Linear_Models_(CoCircles): <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202306-RiskLearning/Session_5_Deep_ReLU_Networks_as_Local_Linear_Models_(CoCircles).ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20">  ipynb</a>   
+Session_5_Deep_ReLU_Networks_as_Local_Linear_Models_(TaiwanCredit): <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202306-RiskLearning/Session_5_Deep_ReLU_Networks_as_Local_Linear_Models_(TaiwanCredit).ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20">  ipynb</a>   
+Session_6_Functional_ANOVA_and_Globally_Interpretable_Models: <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202306-RiskLearning/Session_6_Functional_ANOVA_and_Globally_Interpretable_Models.ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20">  ipynb</a>   
+Session_7_Model_Weakness_and_Robustness: <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202306-RiskLearning/Session_7_Model_Weakness_and_Robustness.ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20">  ipynb</a>    
+Session_8_Model_Resilience: <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202306-RiskLearning/Session_8_Model_Resilience.ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20">  ipynb</a>    
+Session_9_Model_Fairness: <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202306-RiskLearning/Session_9_Model_Fairness.ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20">  ipynb</a>