Glossary

Model Explainability In Ai

Model Explainability in AI is a key factor in making AI decisions reliable. It involves techniques for understanding and interpreting AI models’ actions for transparency and human comprehension.

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Monte Carlo Tree Search

Monte Carlo Tree Search is a powerful decision-making algorithm using random sampling, simulation, and tree scanning to expertly navigate extensive decision spaces.

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