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Leif Peterson  4 June 2019
The field of statistics is undergoing a drastic change in the wake of the recent explosion in machine learning and AI.  No longer is there a cottage industry for training statistics students for a job in big pharma.  Instead, all of the new jobs are in the field of Data Science, because of the rapid growth of cloud-based analytics and data storage.   Some recent trends include:
Historically, machine learning has always been a top priority at NXG Logic.  We didn't develop machine learning techniques after the Cambrian explosion in data science came about.  Rather, our machine learning developments had already been a long-term pursuit before the explosion.   One of the drawbacks in explosive growth of a new field is that "local" and "global" avalanches will occur in the field as it starts overheating and new talent becomes improperly trained.   Eventually, there will be so many data scientists trained through short courses and web blogs alone that there won't be a need for hypothesis-driven analysis, as data science will eventually depart from the field of research-based statistics.  

Nevertheless, NXG Logic has developed a broad portfolio of non-linear manifold learning technologies for knowledge discovery, dimensionality reduction, class discovery and data clustering.   The machine learning approaches available in Explorer include:
With regard to AI, there are plenty of artificial intelligence methods incorporated into Explorer, and these include:
Activation functions for SANN include:
SANN back-propagation learning includes:
SANN Connection weight updates include: 
The SANN objective function can be:
Output-side functions include: