[Ben Razidlo]

MATLAB has a few things going for it. I wouldn’t use it to create an android app, but it’s important at Air Force Research Labs.

1. It is a common language that many researchers use at my organization. It provides a lot of compatibility for collaboration.
2. There’s fantastic tools built around MATLAB for many applied areas of research. Python is coming along, but there are some irreplaceable tools MATLAB has going on.
3. There’s cutting-edge hardware that’s designed to interface MATLAB

[Ben Razidlo]

I’ve taken EPD611: Engineering Economics and Management at U-W Madison. As a research engineer, it was an adjustment to get into the swing of things. After getting accustomed to the course material, I’ve found it very valuable and it will help me in the future work with management in selling my ideas. I was not expecting it to be as valuable at it has become to me.

[Ben Razidlo]

I’ve read a a couple of books about the rise of data. One was good and the other was pretty watered down.

Data-ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else

• My Review 4/10: An okay book for non-data professionals who would like to know why data is such a big deal.

Dataclysm: Love, Sex, Race, and Identity–What Our Online Lives Tell Us

• My Review 8/10: A great book that inspired me as a data professional about the possibilities of data science. A very good read.

[Ben Razidlo]

It depends on career field, but learning any of them makes learning the next thing that much easier. People who will be doing R&D should be getting familiar with Python.

I’m old enough now where each new “must learn” language is getting wearisome, but this is one.

[Ben Razidlo]

Thanks! There is graphic at the bottom that I have copied for future reference. Great for use as a visual check to see which clustering algorithm has a high likelihood of producing good results based on the characteristics of your data.

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