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Fundamentals of Accelerated Data Science

NVIDIA Developer

Traditional CPU-driven data science workflows can be cumbersome, but with the power of GPUs, your teams can make sense of data quickly to drive business decisions. Traditional CPU-driven data science workflows can be cumbersome, but with the power of GPUs, your teams can make sense of data quickly to drive business decisions.

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Building Transformer- Fundamentals of Accelerated Data Science (Session 1)

NVIDIA Developer

Saturday, June 12, 2021 - 09:00 Indian/Maldives Speakers Saurav Agarwal Senior Architect at NVIDIA NVIDIA Saurav is concentrated on implementing Big Data Engineering, Analytics, IoT and Machine learning products & solutions on large scale enterprise data systems. Capacity: 999 Status: Open

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NVIDIA AMBASSADOR DLI WORKSHOP SERIES (INDIA)

NVIDIA Developer

Suggested materials to satisfy prerequisites: Python Beginner’s Guide. Suggested materials to satisfy prerequisites: Python Beginner’s Guide. Reducing training time and accelerating inference throughput pipelines on various H/W platforms like GPU-based Data Centers i.e Basic understanding of neural networks.