Matrix decompositions are a useful tool for reducing a matrix to their constituent parts in order to simplify a range of more complex operations. Perhaps the most used type of matrix decomposition is the eigendecomposition that decomposes a matrix into ei... (more…)

Key features of ML monitoring solutions, why companies need a holistic MLOps platform that includes model monitoring, and challenges companies face in making that happen. By Ben Lorica and Paco Nathan. According to the 2020 Gartner Hype Cycle for Artifici... (more…)

The list of the best machine learning & deep learning books for 2020. (more…)

A broad overview of the sub-field of machine learning interpretability; conceptual frameworks, existing research, and future directions. (more…)

Amazon started to use Machine Learning to hallucinate non-existing reviews and suggest product ratings, that are far removed from reality. (more…)