With a background in database design/development, software engineering, and machine learning/artificial intelligence, Dan Wellisch has built domain knowledge in the medical industry over the past 5 years. Dan is dedicating this site to applying machine learning techniques to medicine. The site is maintained by Wellisch Software Technologies, Inc.
Dan graduated from NC State University with a B.S. in Computer Science and an M.S. in Computer Science (Artificial Intelligence Concentration). NC State University was the first school to offer the Master Of Science In Analytics. Dan has spent most of his career in software design, development, and database, but has easily moved into new areas as Dan is a lifelong technology learner. Machine Learning is simply a branch of AI, but it is an area that is concerned with helping humans to be more efficient in their work. It is not meant to replace humans and their superior judgement over machines. Efficiency (in processing the inexhaustible amount of data) is the strength of machine learning and where it is better than humans. It should never replace the expertise of a human being in the area of healthcare. When Dan was getting his Masters in AI, the focus was on Expert Systems (actually trying to clone the decision making of a human). We worked with languages like Lisp and Prolog with concepts.
Machine Learning has actually been around since the 1950s so it is not new; it has simply evolved just like any other area in computing.
Lately, there are 2 labeled professional titles: Data Engineering and Data Science. Data Engineering is simply Software Engineering with added Data Manipulation skills. Data Science is an understanding of Statistics and Algorithms applied on top of Data Engineering.
Dan has recently completed the following machine learning certifications delivered by Andrew Ng of Stanford.
Dan has also recently completed courses in Basic and Inferential Statistics from Coursera as well. Although he has completed a course in R from Datacamp, can prefers to code in Python. He is a Python contributor to the Healthcare.AI open source software sponsored by HealthCatalyst.com. His contributions are documented here.
Dan Wellisch may be contacted here.:
danw AT wellsoftware DOT COM