Unboxing Machine Learning Models: Predicting with Numpy After Model Training

Speaker
Xiang Xu
Date
Type
Workshop
Language
English
Topic
Data science, ML
Length
75 minutes

About this talk

In this hands-on workshop, we’ll bridge the gap between high-level machine learning libraries (like Scikit-learn and Keras) and the core mathematical principles driving their predictions. Participants will firstly train regression models using machine learning methods like Kernel Ridge Regression (KRR) and Deep Neural Networks (DNNs), save the trained model parameters, and then use only Numpy to replicate the prediction process.

Photos (1)

Photo of Unboxing Machine Learning Models: Predicting with Numpy After Model Training
In the gallery of PyDay BCN (2024), with the post it was published in.