PatRec 2025
Pattern Recognition Using Machine Learning
A workshop conducted as part of OurCS@DFW.
Description: In this workshop, participants will learn some basic techniques for using machine learning to recognize patterns such as letters, faces, or spam messages. We will briefly describe machine learning methods such as neural networks, nearest neighbor classification, and decision trees. Projects will be implemented in Python, using the online Google Colab platform. A brief introduction to the Keras and Tensorflow programming libraries will be given, that will describe how to quickly design and train neural networks for some of these applications.
Expected coding experience: Basic-level coding experience in Python.
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Code
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Slides:
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A Quick Introduction to Pattern Recognition and Machine Learning.
PPT,
PDF.
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Nearest Neighbor Classification.
PPT,
PDF.
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Neural Networks.
PPT,
PDF.
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Convolutional Neural Networks.
PPT,
PDF.