A Guide to Explainable AI | Artificial Intelligence Masterclass for Beginners

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In this Masterclass, let Aakash - CEO at Jovian take you through the up-and-coming research area of Explainable Artificial Intelligence within 40 minutes. Explainable AI is a set of tools and frameworks to help you understand and interpret predictions made by your machine-learning models.
00:00 - Introduction & Importance
06:03 - Types of Explainable AI
12:54 - LIME
16:16 - SHAP
19:53 - PAP
24:09 - Resources
27:32 - Q&A
References:
github.com/jphall663/awesome-...
DeepFindr: • Explainable AI explain...
Kaggle notebook: www.kaggle.com/code/parulpand...
Interpretable ML book: christophm.github.io/interpre...
InterpretML: interpret.ml/
Shap Library: github.com/slundberg/shap
Partial Dependence Plots: • Partial Dependence Plo...
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[@joethelion79]

Excellent video. Very clearly explained and extremely interesting. Thank you for sharing.

[@suresh1957]

Extremely well explained

[@belalvai6653]

The session was really helpful sir.

[@thawinhart-rawung463]

Thank you so much

[@shivampradhan6101]

Great sessions

[@jovianhq]

Thanks!

[@vivek5147]

Thanks bro

[@jovianhq]

Any time! Glad you enjoyed

[@user-jm8hg5tk4n]

what is the new group chat link?

[@shivampradhan6101]

Will there be more sessions?

[@jovianhq]

Yes! You can join our WhatsApp community to get updates: jovian.com/whatsapp

[@mansurah623]

I want to build a project on explainable AI. I am a beginner and I know ML algorithms. How do I build this project ? From where do I learn? PLease help

[@bhavyagulati1571]

Were you able to find any leads?

[@IamAmitBarman]

the chart you used accuracy vs interpretability is not true..thats a false chart doesnt provide correct information