Tag: Jupyter

Introduction In recent years, there’s been a remarkable surge in the adoption of Kubernetes for data analytics and machine learning (ML) workloads in the tech industry. This increase is underpinned by a growing recognition that Kubernetes offers a reliable and scalable infrastructure to handle these demanding computational workloads. Furthermore, a recent wave of Generative AI […]

In digital advertising, the ad click-through rate (CTR) model predicts the probability of a click given the ads and context x (for example, shopping query, time of the day, device). The output of a CTR model can be seen as a conditional probability p(y = click|x). A precise estimation of this probability influences our ability […]