Recently I read an interesting article by Yaser S. Abu-Mostafa in the Scientific American about Machine Learning. Basically he is promoting the field of machine learning as a method to extract information from huge databases. He also mentions that he offers a free online course. Hence, I started the course two weeks ago. The course is still pretty basic only dealing with linear models. The next weeks should become more interesting as we dive into the theory. Hopefully, in a few weeks I can build my own machine learning tools (besides the linear programs).
During my time at the university I mostly worked with SAS. However, since then R has made a rapid development and I decided to learn R using the free e-book “An Introduction to Data Science” by Jeffrey Stanton. The power of R with all the available packages is amazing. Among others I learned how to extract tweets from Twitter with a given hashtag and make a wordcloud out of all these tweets. Examples below:
During the workshop I visited on 15 March (see this post) I met with a Senior Research Engineer and the Imaging Services Manager of McKesson. They kindly offered to give me a tour in their Richmond facility. It was very interesting to see how McKesson Medical Imaging works, from the help desk, software development, hardware to the installation in the hospitals. Thanks so much for the tour! The healthcare industry seems to be a very rewarding work environment.
To get inspiration for my career choice I decided to go to this interesting workshop. It turned out to be very interesting starting with the opening word by Premier Christy Clark. Through the presentations and talking to attendees I learned about the wide variety of technology projects which take place in the Lower Mainland: McKesson, Genome BC, Wavefront, etc. Seems there are many interesting projects for a mathematician who studied statistics, probability and has programming skills!