[visionlist] AIDA Short Course: "Nvidia DLI - Fundamentals of Accelerated Data Science with RAPIDS", 19th January 2023

[Ioanna Koroni]

Nvidia DLI and University Debrecen organize an online AIDA short course on
"Fundamentals of Accelerated Data Science with RAPIDS" offered through the
International Artificial Intelligence Doctoral Academy (AIDA). 

The purpose of this course is to overview the foundations and the current
state of the art in GPU-accelerated data science in python

This short course will cover the following topics:

*	GPU-Accelerated Data Manipulation (120 mins), 
*	GPU-Accelerated Machine Learning  (120), 
*	Project: Data Analysis to Save the UK (120 mins)

The targeted applications will be in graph-based data analytics.

 

LECTURER: 

- Dr. Laszlo Kovacs, Assistant Professor

Nvidia Deep Learning Institute Certified Instructor and Ambassador, email:
kovacs.laszlo at inf.unideb.hu <mailto:kovacs.laszlo at inf.unideb.hu> 

 

HOST INSTITUTION/ORGANIZER: Nvidia Deep Learning Institute, Faculty of
Informatics, University of Debrecen, Hungary

 

REGISTRATION: Free of charge for university students and staff

 

WHEN: January 19, 2022 from 09:00 to 17:00 CET

 

WHERE: Online

 

HOW TO REGISTER and ENROLL: 

Both AIDA and non-AIDA students are encouraged to participate in this short
course.

 

If you are an AIDA Student* already, please: 

Step (a) register in the course by following the Course Link: Nvidia Deep
Learning Institute | University of Debrecen (unideb.hu)
<https://inf.unideb.hu/en/nvidia-deep-learning-institute>  AND 

Step (b) enroll in the same course in the AIDA system using the enrollment
button in the AIDA course page Nvidia DLI - Fundamentals of Accelerated Data
Science with RAPIDS - AIDA - AI Doctoral Academy (i-aida.org)
<https://www.i-aida.org/course/nvidia-dli-fundamentals-of-accelerated-data-s
cience-with-rapids/> , so that this course enter your AIDA Course Attendance
Certificate. 

 

If you are not an AIDA Student do only step (a). 

 

*AIDA Students should have been registered in the AIDA system already (they
are PhD students or PostDocs that belong only to the AIDA Members listed in
this page: https://www.i-aida.org/about/members/)

 

Dr. Laszlo Kovacs, Assistant Professor

Nvidia Deep Learning Institute Certified Instructor and Ambassador

Email kovacs.laszlo at inf.unideb.hu <mailto:kovacs.laszlo at inf.unideb.hu> 

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