We will use this blog page to report and encourage others to report, on general findings in all verticals and applications from scientific machine learning (ScienceML).
It is useful to separate the two types of machine learning (ML): pattern recognition and forecasting. The principle difference is the nature of the input data itself. ML for forecasting requires time-series. In contrast, pattern recognition is applied to subjects where the dynamics is essentially static. Precision Alpha Labs is focused on forecasting and time-series.
My name is MTR. I am the CIO and Chief Data Scientist at Precision Alpha. I designed the architecture, did the mathematics, implemented the math into code, and run our application labs. I look forward to sharing our learnings with the community at large, and to learn from you too.