
Explore evaluation methods for information systems that address misinformation, fairness, and bias beyond traditional relevance metrics, with practical insights into quantitative measurement approaches.

Dive into matrix completion techniques and PageRank algorithms, exploring fundamental concepts for data mining and graph analysis applications.

Explore feature stores, vector stores, and embeddings in ML and LLMs. Learn about personalization in prompts, MLOps challenges, and innovations from Featureform's CEO Simba Khadder.

Explore AI-aided decision making through preference learning and recommendations, leveraging multimodal data for personalized user experiences in the era of pervasive digitization.