Skip to content

A beginner's guide to neural networks for social scientists by John 'Jack' Collins

Notifications You must be signed in to change notification settings

SocialScienceDataLab/beginner-neural-networks

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 

Repository files navigation

A beginner's guide to neural networks for social scientists

📍 Hybrid Event: MZES, Mannheim + Zoom

📆 October 18, 2023

Neural networks are powerful machine learning algorithms that form the basis of many important technologies, including generative AI and computer vision. However, they are not as straight-forward to implement as many other machine learning techniques, like random forest or logistic regression. If you are a researcher interested in applying neural networks, this tutorial will provide an easy introduction to what neural networks are, how they work, and how you can implement a simple one yourself.

📝 Slides 💻 Interactive Neural Network Playground

👤 John 'Jack' Collins is a PhD candidate at the Mannheim Centre for European Social Research (MZES). Jack holds a Master's in Data Science and his research focuses on applying machine learning to survey methodology. Before coming to Mannheim University for his PhD, Jack was an IT consultant.

About

A beginner's guide to neural networks for social scientists by John 'Jack' Collins

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published