Earlier quoted context omitted.
Are data scientists whom are in demand today dealing with neural networks and machine learning, or are a large majority still working with large sets of data and running correlation analyses/regressions? Your response above seems to indicate that it's not overly complicated.
It depends; I personally haven't used neural networks since graduating. Standard machine learning algorithms get used. I work with large data sets all the time. Sometimes correlations, regression things. The point is that 95% of the stuff that gets used on a day to day basis is not hard to learn. Especially if your background in linear algebra, probability and statistics is good. The five percent that delves into mor…
Re: From PhD to Data Scientist: Tips for Making the Transition
#91Thank you for you candid and thoughtful answer :)