

Becoming a deep learning researcher without a PhD, graph neural network(GNN), time series, recommender system with Kyle Kranen - The Data Scientist Show#028
Mar 3, 2022
Exploring deep learning research topics with Kyle Kranen, a Deep Learning Software Engineer at Nvidia. Topics include Graph Neural Network (GNN), Temporal Fusion Transformer (TFT), time series, and other insights into his career journey.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11
Introduction
00:00 • 3min
Journey of a Deep Learning Software Engineer at NVIDIA
03:27 • 20min
Navigating Challenges in Graph Neural Networks and Fraud Detection Models
23:41 • 17min
Exploring Feature Importance in Data Modeling and Preprocessing
40:53 • 2min
Exploring Model Performance and Cross-Domain Applicability
42:34 • 13min
Exploring Enhancements in Recommender Systems with GPU Acceleration
55:06 • 2min
Optimizing Pre-Processing Efficiency in Data Science
57:09 • 2min
Navigating Sensitivity in Recommender Systems
58:46 • 15min
Navigating Challenges and Progress in Deep Learning Research
01:14:04 • 18min
Personal Projects and Finding Inspiration
01:32:11 • 14min
Advancements and Applications of Deep Learning in Reinforcement Learning
01:46:13 • 11min