All article about ML
Model may perform with excellent accuracy at launch, but six months later its predictions are unreliable. What happened? Key principle: A model is only as good as the data it sees today, not the data it saw six months ago. The likely culprit is data drift, a change in the statistical properties of the input … Read more →
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 →
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 →