Exploring Explainable AI: A Deep Dive into SHAP

We see AI models excelling at complex tasks and delivering impressive predictions. While this is undoubtedly remarkable, it raises an important question: how can we ensure the predictions are unbiased and trustworthy? This is where Explainable AI comes into play What is Explainable AI ? Explainable AI(XAI) is a critical field in artificial intelligence which … Read more about “Exploring Explainable AI: A Deep Dive into SHAP”

Latent Factors – The Hidden Structure

Latent factors are hidden building blocks that shape user preferences and item characteristics. They are not directly observable but are inferred from the data through a process called dimensionality reduction. These underlying characteristics or hidden dimensions explain the patterns in the interactions between users and items.Furthermore , they also influence the user interactions (like ratings, … Read more about “Latent Factors – The Hidden Structure”