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Book Overview & Buying
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Table Of Contents
The Kaggle Book - Second Edition
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With the incredible recent growth of deep learning in data science, GPUs have become an indispensable tool, now easily accessible for both local and cloud-based computing and naturally available in Kaggle notebooks. Previously associated with tasks like 3D gaming and graphic rendering, GPUs have found a natural fit in ML due to their efficiency in performing large-scale matrix operations. Their cost-effectiveness and speed have made them essential for training neural networks, prompting widespread adoption in academia and industry alike. NVIDIA’s RAPIDS, a suite of GPU-accelerated libraries, extends beyond deep learning to support the entire ML workflow. The NVIDIA KGMoN team (the Grandmasters’ team) often uses it in competitions, because using GPUs can increase the number of high-quality experiments they can run during a competition, which means discovering more patterns and catching faster when a model is failing, drifting, or overfitting...