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Fundamentals of Accelerated Data Science

NVIDIA Developer

Using the RAPIDS™-accelerated data science libraries, you’ll apply a wide variety of GPU-accelerated machine learning algorithms, including XGBoost, cuGRAPH’s single-source shortest path, and cuML’s KNN, DBSCAN, and logistic regression to perform data analysis at scale. Duration: 8 Hours

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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. Technologies: Tensorflow 2 with Keras, Pandas Assessment Type: Skills-based coding assessments evaluate students’ ability to train a deep learning model to high accuracy.