DataHour: Explainable AI: Demystifying the Black Box Models
DataHour: Explainable AI: Demystifying the Black Box Models
25 Sep 202313:09pm - 25 Sep 202314:09pm
DataHour: Explainable AI: Demystifying the Black Box Models
About the Event
Join this DataHour for an in-depth exploration of Explainability in AI (XAI). Discover its significance, types of explanations, and when it's needed. Learn about glass box, white box, and black box models, and explore popular XAI techniques like LIME, SHAP, DiCE, and more. See how XAI is applied in real-world scenarios. Whether you're a data scientist or just curious about XAI, gain valuable insights to enhance your AI projects. Don't miss this opportunity to demystify XAI!
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
Dr. Farha Anjum Khan is a seasoned data scientist with a passion for bridging the gap between technology and responsible AI. With a career spanning six years in the field of data science, she brings a wealth of knowledge and experience to the table.Dr. Khan's journey into data science was preceded by her academic pursuits in experimental nuclear and particle physics. She honed her skills while working at the prestigious synchrotron center in Forschungszentrum Jülich, Germany, and the University of Wuppertal, Germany. It was during her doctoral research that she delved deep into the world of data, algorithms, and artificial intelligence, sparking her fascination with these domains.
Participate in discussion
Registration Details
8122
Registered
Become a Speaker
Share your vision, inspire change, and leave a mark on the industry. We're calling for innovators and thought leaders to speak at our event
- Professional Exposure
- Networking Opportunities
- Thought Leadership
- Knowledge Exchange
- Leading-Edge Insights
- Community Contribution
