Fundamentals of Accelerated Data Science (FADS)

 

Resumen del Curso

Learn how to perform multiple analysis tasks on large datasets using NVIDIA RAPIDS™, a collection of data science libraries that allows end-to-end GPU acceleration for data science workflows.

Certificaciones

Prerrequisitos

Experience with Python, ideally including pandas and NumPy.

Suggested resources to satisfy prerequisites: Kaggle's pandas Tutorials, Kaggle's Intro to Machine Learning, Accelerating Data Science Workflows with RAPIDS

Objetivos del curso

  • Implement GPU-accelerated data preparation and feature extraction using cuDF and Apache Arrow data frames
  • Apply a broad spectrum of GPU-accelerated machine learning tasks using XGBoost and a variety of cuML algorithms
  • Execute GPU-accelerated graph analysis with cuGraph, achieving massive-scale analytics in small amounts of time
  • Rapidly achieve massive-scale graph analytics using cuGraph routines

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Precios & Delivery methods

Entrenamiento en línea

Duración
1 día

Precio
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Classroom training

Duración
1 día

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Instructor-led Online Training:   Este es un curso en línea Guiado por un Instructor. If you have any questions about our online courses, feel free to contact us via phone or Email anytime.

Estados Unidos de América

Entrenamiento en línea 07:30 Pacific Daylight Time (PDT) Este curso será presentado por un socio Inscripción