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

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A beginner's guide to neural networks for social scientists

πŸ“ Hybrid Event: MZES, Mannheim + Zoom

πŸ“† 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.

πŸ“ Slides πŸ’» Interactive Neural Network Playground

πŸ‘€ 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.

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