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Dr. Arpit Yadav

Senior AI Scientist

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Dr. Arpit Yadav, Sr. Data Scientist at DSJ Keep Learning, boasts 15 years in AI, machine learning, and data science. Pursuing a PhD in Machine Learning, he holds advanced qualifications from UT Austin, GHRCE Nagpur, and JDIET Yavatmal. He is a VDGOOD Inspirational Scientist and has earned multiple awards, including the Progress Global Award 2020. With 70+ certifications, his expertise spans generative AI, computer vision, and NLP.

Explaining the results of an AI model is essential in many cases to make it acceptable to business users and regulators.  The complexity of defining the model increased exponentially with the advent of massive deep neural models with billions of connections in the new age of Gen AI models.  This session provides an efficient approach to building Explainability in AI models.  The attendees will be introduced to state of the art in Explainability with live examples. 



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Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

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Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More
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