Clustering and dimensionality reduction: k-means clustering, hierarchical clustering, PCA, SVD. (more…)

This is a step by step guide on how to apply Artificial Intelligence and Machine Learning to transform your organization and gain business value from it... (more…)

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…)

Earlier this year, Cisco announced the acquisition of AppDynamics – uniquely positioning Cisco to enable enterprises to accelerate their digital transformations by actively monitoring, analyzing and optimizing complex application environments at scale. To... (more…)

One of the first questions to answer before deploying a model is what is the business risk of deploying this model? (more…)