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Towards Data Science on LinkedIn: “The main driver behind my writing has always been learning”
Explainable AI (XAI) with SHAP -Multi-Class Classification Problem, by Idit Cohen
Harikrishnan Rajaram on LinkedIn: #machinelearning
Using SHAP Values to Explain How Your Machine Learning Model Works, by Vinícius Trevisan
Practitioner's guide to Trustworthy AI, by Maleeha koul, IBM Data Science in Practice
Image Classification with PyTorch and SHAP: Can you Trust an Automated Car?, by Conor O'Sullivan
Hybrid (multimodal) neural network architecture : Combination of tabular, textual and image inputs to predict house prices., by Dave Cote, M.Sc.
The Shapley Value for ML Models. What is a Shapley value, and why is it…, by Divya Gopinath
Explainable AI (XAI) with SHAP -Multi-Class Classification Problem, by Idit Cohen
SHAPling around a custom network, by Roberto Martorelli
Shapash : MAIF releases a new open source solution for a more transparent AI, by Yann Golhen, OSS by MAIF