Explainable AI (XAI) Day at ODSC Delhi

This meetup is supported by 91'springboard and deeplearning.ai

Schedule:
10.30-10.45 ODSC Overview and registration
10.45-11.00 91'springboard Overview and deeplearning.ai Exclusive video by Mr. Andrew Ng
11.00-11.45 XAI Overview and methods to implement it
11.45-12.00 Break
12.00-01.30 Hands-on exercise with structured tabular data
01.30-02.30 Food & Networking
02.30-04.00 Hands-on exercise with Unstructured Data
04.00-04.15 Meetup Retro, Group Photo
04.15-05.00 Panel Discussion with Group activity - why XAI is need of the hour and closing remarks

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Tech Talk Title: Explainable AI (XAI) Day

Abstract: Interpreting the machine learning model is not an easy task and without this business is not able to completely trust the AI model, also due to recent change in regularities it has become the need of the hour such as with GDPR that you might need to explain the model working to Auditor. Human users should be able to understand the AI's cognition (both in real-time and after the fact) and should be able to determine when to trust the AI and when the AI should be distrusted.

During this session, we will have a discussion about the concept, methodology, recent developments, framework which can help, follow-up with hands-on exercise (Structured Data + Unstructured Data) and then a Panel discussion why XAI is need of the hour.

Speakers:
Kriti Doneria
https://www.linkedin.com/in/kritidoneria

Kriti is a published and acknowledged researcher across multiple domains including Cloud Computing, Artificial Intelligence, Machine Learning, and Green-tech. A Data Scientist by profession, she has worked with Fortune 500 clients on large-scale projects. With an MBA from IIT Kanpur, she is able to bring the perfect blend of technology and strong business acumen. She currently works in the financial risk domain and utilizes cutting edge AI techniques to solve the most complex and sophisticated strategic challenges.

Avni Gupta
https://www.linkedin.com/in/avnig

Avni has been working in the IT industry for 12 years. She leads the Data Analytics department at Synduit. Prior to this, she worked with MakeMyTrip and Wize Commerce and Infosys. She holds a Post Graduation in Big Data and Machine Learning from Great Lakes Institute of Management, MBA from IMT Ghaziabad and B.Tech in Computer Science.

Kuldeep Singh
https://www.linkedin.com/in/iamkuldeepsingh

Mr. Kuldeep Singh is a seasoned AI practitioner and Technology architect, skilled in ML, DevOps Implementation, Cloud Infrastructure setup with an Agile mindset. With 12+ years of experience, he brings with himself unique expertise in integrating business domains with traditional as well as emerging new IT landscape. He holds an MBA from IMT along with PGP in Big Data and Machine Learning from Great Lakes.

Pre Read & Prerequisite: Anyone can join the session who have exposure to Python/R and basic ML algorithms.
Read about XAI, specifically paper published by Google AI Explainability Whitepaper(https://storage.googleapis.com/cloud-ai-whitepapers/AI%20Explainability%20Whitepaper.pdf) and https://eli5.readthedocs.io/en/latest/ to get good starting point to understand XAI in details

Preinstallation Details: Account on Kaggle and should know how to use kaggle kernel refer in case just starting to use Kaggle platform (https://www.kaggle.com/getting-started/23393)

ODSC Links:
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