Visualization Laboratory Wiki
Docs» training:ds:2024:pytorch_24

Introduction to Pytorch ~ 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

  • Github link: GitHub Repository

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

PyTorch, an open-source Python library, unlocks the world of deep learning for aspiring data scientists and machine learning enthusiasts. Build powerful models for tasks like image recognition with convolutional neural networks (CNNs), or master language processing using recurrent neural networks (RNNs).

PyTorch empowers you to Craft flexible and customizable models and accelerate your journey with GPU. Leverage the raw power of graphics processing units (GPUs) to train and run models at blazing speeds, bringing your projects to life faster.

PyTorch goes beyond deep learning, offering a versatile toolkit for your data science journey. Seamlessly integrate PyTorch with popular libraries like NumPy and pandas to clean, transform, and visualize your data. Whether exploring new algorithms, testing hypotheses, or deploying models in production, PyTorch empowers you with the flexibility and functionality to excel.


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 numpy 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

workshop
Previous Next

Site Tools

  • Media Manager

Page Tools

  • Old revisions
  • Backlinks
  • Back to top

User Tools

  • Log In
training/ds/2024/pytorch_24.txt · Last modified: 2024/03/01 10:07 by Didier Barradas Bautista
Visualization Laboratory Wiki

Table of Contents

Table of Contents

  • Introduction to Pytorch ~ Data Science Advanced Workshop
    • Overview
    • Who Should Attend?
    • Agenda

Welcome to the KVL

  • Home
  • Training Events
  • Facilities
  • Highlights
  • Virtual Tours

KVL Documentation

  • Frequently Asked Questions
  • Visualization Tools User Guides
  • AR & VR Tools User Guides
  • Data Science Tools User Guides
  • Facility User Guides