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20min chapter
Becoming a deep learning researcher without a PhD, graph neural network(GNN), time series, recommender system with Kyle Kranen - The Data Scientist Show#028
The Data Scientist Show
Journey of a Deep Learning Software Engineer at NVIDIA
The chapter follows a deep learning software engineer at NVIDIA detailing their team's transition from math libraries to deep learning algorithms. It explores their role in researching, reviewing, and optimizing models for tabular data, focusing on challenges such as building graph neural networks and balancing accuracy with latency and cost considerations. The conversation also dives into tools and strategies for optimizing model performance and reducing latency in deep learning workflows, emphasizing the importance of monitoring performance and utilizing tools like NVIDIA Nsight Systems.
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Listen to the best highlights from the podcasts you love and dive into the full episode