MyGK
Support
USA USA - English
Checkout

Cart () Loading...

    • Quantity:
    • Delivery:
    • Dates:
    • Location:

    $

Subtotal

$

Checkout

or Continue Shopping

Contact Sales
Course  
Contact Sales

Buy One Get One 1/2 Off or Buy 2 get 1 Free Going on now

Fundamental of Accelerated Data Science

Data science is about using scientific methods, processes, algorithms, and systems to analyze and extract insights from data. It empowers organizations to turn data into a valuable resource, leading to smarter decision-making, improved operations, and enhanced customer experiences. In this workshop, you will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results

GK# 847013
Vendor Credits:
No matching courses available.
Start learning as soon as today! Click Add To Cart to continue shopping or Buy Now to check out immediately.
Access Period:
Scheduling a custom training event for your team is fast and easy! Click here to get started.

What You'll Learn
  • Use cuDF to accelerate pandas, Polars, and Dask for analyzing datasets of all sizes efficiently
  • Utilize a wide variety of machine learning algorithms, including XGBoost, for different data science problems
  • Deploy machine learning models on a Triton Inference Server to deliver optimal performance
  • Learn and apply powerful graph algorithms to analyze complex networks with NetworkX and cuGraph
  • Perform multiple analysis tasks on massive datasets to stave off a simulated epidemic outbreak effecting the UK

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