Introduction to GPU-powered HPO ~ Data Science Advanced Workshop

  Date

  • TBD
  • 9am - 12pm


  Venue

  • MPR room, B1 L0 desert-side



  Organizer

Didier Barradas-Bautista
Visualization Core Laboratory
didier.barradasbautista@kaust.edu.sa

  Register

Register Here!



Workshop Materials

Pre-requisites

  • Have KAUST IT credentials (i.e. the one you use to access your KAUST email)
  • A computer (Linux/Windows/Mac) with internet connection & terminal
  • Essential knowledge of Python is necessary (Pandas, Numpy libraries…)
  • Have some experience with working with Conda package manager

Overview

Unleash the Power of RAPIDS and HPO: Accelerate & Refine your AI Models. This workshop dives into the exciting world of RAPIDS, a suite of open-source libraries optimized for GPU-accelerated data science and machine learning. Discover how RAPIDS leverages the raw power of GPUs to Fine-Tune Models for Optimal Performance with Hyperparameter Optimization (HPO)

While RAPIDS provides the speed, HPO equips you with the tools to refine your models for peak performance. By combining the power of RAPIDS and HPO, you'll gain the ability to Train complex models faster,Optimize models efficiently.


Who Should Attend?

  • You are a programmer who wants to extend their skills into Data Science and Machine Learning to make yourself more valuable
  • Anyone who wants to learn these topics from industry experts who don’t only teach but have worked in the field
  • You want to add value to your own business or company you work for by using powerful Machine Learning tools.


Agenda

Time Topic Speaker
9:00am - 9:10am Welcome Didier Barradas-Bautista
9:10am - 10:15am Introduction to pandas and numoy Didier Barradas-Bautista
10:15am - 10:30am Coffee Break
10:30am - 12pm Hands-On Session: Jupyter Notebooks Examples / Q&A Didier Barradas-Bautista
10:15am - 10:30am Coffee Break