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
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 |