Learnings

we thought this would be a good overview for interested audiences.

A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases

Autoimmune diseases are chronic, multifactorial conditions. Through machine learning (ML), a branch of the wider field of artificial intelligence, it is possible to extract patterns within patient data, and exploit these patterns to predict patient outcomes for improved clinical management. Here, we surveyed the use of ML methods to address clinical problems in autoimmune disease.

Age groups that sustain resurging COVID-19 epidemics in the United States

How can the resurgent epidemics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during 2020 be explained?

A good start! Effective privacy protection will be accompanied by upholding privacy as a core value within your organization .

Neural networks are becoming the most frequently used machine learning method, not only for image analysis and natural language processing but also for more “classical” problems. However, the tooling around neural network explainability is still severely lacking. With topics such as “cheating” ML systems and algorithmic bias getting more recognition, it becomes ever more important to be able to understand the reasoning behind a model’s predictions. Exago.ml recently pushed a pull request to iml to support keras models out of the box, which has already been merged into head on github. Let’s take this new support for a test drive.

Data Science has seen tremendous growth and support across industries in recent years. Bringing together methods from many fields, Data Science incorporates a plethora of confusing terms with fuzzy definitions. A glimpse on the history of data and clear term differentiation will help kickstart your venture into this fascinating field.