Pixels to Predictions: Making Math Fun with Python for Real-World Applications
By Paulina Boadiwaa Mensah
Data Scientist, Medical DoctorAbstract:
In the current generative AI (and by extension ML) rush, many beginner techies rush to implement ML models without a solid grasp of the math behind this. But who cares about the math? And why should we spend time on boring math? Well, Python is here to help! In this talk (with a hands-on session, get your Colab notebooks ready!) we’ll show why the math is necessary (and fun!) and build a simple ML model for image detection starting from basic linear algebra! Due to time constraints, we would attempt to simplify this for beginners, but we hope that this would get you thinking about, and improving your math foundations in your ML career, as a Pythonista!
Talk prerequisites: A basic unerstanding of Linear algebra, basic Python programming skills, an access to a Google Colab notebook, and enthusiastic curiosity!
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