Machine Learning Models
Patrick explains how machine learning models differ from traditional software by teaching software to behave based on input, rather than following predefined rules. He delves into the concept using music recommendation algorithms as an example, highlighting the complexity and magic behind predicting user preferences through data patterns.In this clip
From this podcast

Beyond Coding Podcast
The MLOps Mindset // Beyond Coding Podcast #29 - Patrick Akil with Roman Ivanov and Julian de Ruiter
Related Questions