Inside Big Data  November 26, 2019 Error Analysis builds a model out of your existing model’s errors. From this it is possible to gain an understanding of where the model is succeeding and what can be amended to improve performance. Additionally, this process can be trivially integrated into the data science pipeline and run multiple times to iteratively improve model performance. Building a simple model using all your input features to explain the error will give an indication of which features are driving most of the error. A highly interpretable linear model in error analysis will yield much faster and […]

The Conversation  February 20, 2019 Scientists in Switzerland recently produced the first-ever digital 3D brain cell atlas, a complete mapping of the brain of a mouse. While this is a colossal achievement, the great challenge now lies in learning to decipher the atlas. In more and more realms of science, researchers are finding themselves with more data than they can effectively make sense of. The response of modern mathematicians to meet the mathematical challenges of big data is still unfolding – and topology, a theory bound only by the imagination of its practitioners, is bound to help shape the future…read […]