During this session, participants will understand how to use our AI software to create a real-time recommender that delivers personalized recommendations to users based on their behavior and preferences.
During this session, participants will understand how to use our AI software to create a real-time recommender that delivers personalized recommendations to users based on their behavior and preferences.
Join us as we host an open discussion about the amazing things happening in the world of AI and machine learning. Share your experiences, ask questions, ponder the possibilities, or just listen as we explore new topics and revisit old ones. ecosystem.Ai, bringing complex capabilities within reach of any business, in order to build your own human based interactions, and ensure your customers' happiness.
This presentation will provide an overview of advanced Bayesian exploration and its technical applications. We will discuss Bayesian methods for exploratory data analysis, predictive modeling, and other data science tasks.
Bayesian regression is a statistical method used to estimate the relationship between variables. It uses Bayesian inference, which is a form of statistical inference that relies on probability theory. In Bayesian regression, the relationships between variables are estimated through data rather than through assumptions.
Dynamic recommenders with Bayesian exploration are able to provide more accurate and personalized recommendations than traditional recommenders. By taking into account the user’s past behavior, the recommenders can adjust the recommendations to better fit the user.
Artificial Intelligence is changing the landscape of modern commerce. In our next session, we’ll interview Dr. Jay van Zyl, to discuss the practical applications of integrating AI technologies into your business.
Responding to customers requires an understanding of the ever-changing human contexts in which they exist. It is important to remain knowledgeable and aware of current trends, industry changes, and the needs of customers. We will discuss methods of monitoring customer responses to experiments using dashboards and activating further dynamic experimentation in ecosystem.Ai.