DataHour: Why Did My AI Do That? Decoding Decision-Making in ML

DataHour: Why Did My AI Do That? Decoding Decision-Making in ML

30 Nov 202312:11pm - 30 Nov 202313:11pm

DataHour: Why Did My AI Do That? Decoding Decision-Making in ML

About the Event

We will start by exploring explainable AI techniques such as Local Interpretable Model-agnostic Explanations (LIME), SHapley Additive exPlanations (SHAP), and Integrated Gradients. Through hands-on examples, we'll demonstrate how these methods dissect a model's decision boundary, feature importance, and decision paths.

The session will also cover practical implementation using Python libraries like sklearn, lime, and shap, to empower attendees to apply these methodologies to their own models. We'll further discuss the trade-offs between accuracy and explainability, helping practitioners strike a responsible balance.

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space
  4. Best articles get published on Analytics Vidhya’s Blog Space
  5. Best articles get published on Analytics Vidhya’s Blog Space

Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Swagata Ashwani

Swagata Ashwani

Principal Data Scientist @Boomi

Swagata is a Data Professional with over 6 years experience in Healthcare, Retail and Platform Integration industry. She is an avid blogger and writes about state of the art developments in the AI space. She is particularly interested in Natural Language Processing, and focuses on researching how to make NLP models work in a practical setting. In her spare time, she loves to play her guitar, sip masala chai and find new spots for doing Yoga.

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