Fundamentals of Accelerated Data Science (FADS)

 

Course Overview

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.

Please note that once a booking has been confirmed, it is non-refundable. This means that after you have confirmed your seat for an event, it cannot be cancelled and no refund will be issued, regardless of attendance.

Prerequisites

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

Course Objectives

  • 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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Preise & Trainingsmethoden

Online Training

Dauer
1 Tag

Preis
  • 500,– €
Classroom Training

Dauer
1 Tag

Preis
  • Deutschland: 500,– €
 

Kurstermine

Dies ist ein Instructor-led Online Training, das über WebEx in einer VoIP Umgebung durchgeführt wird. Sollten Sie Fragen zu einem unserer Online-Kurse haben, können Sie uns jederzeit unter +49 (0)40 253346 140 oder per E-Mail an info@itlearningsolution.de kontaktieren.

Englisch

Europäische Zeitzonen

Online Training Zeitzone: Mitteleuropäische Zeit (MEZ) Kurssprache: Englisch

9 Stunden Differenz zu Mitteleuropäische Zeit (MEZ)

Online Training Zeitzone: Pacific Standard Time (PST) Kurssprache: Englisch