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18min 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
Navigating Challenges and Progress in Deep Learning Research
The chapter explores the intricacies of deep learning research, discussing challenges faced and the transition to nuanced evaluation methods. It reflects on troubleshooting a model issue during an internship, emphasizing the nonlinear nature of professional growth. Additionally, it highlights the importance of learning from failures, tracking progress, and showcasing research impact.
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