"Good points all around. The term Data Scientist is rare in the healthcare world, specifically for the reasons you mention. The analytics practitioners know (or soon come to know), that the data is truly multidimensional over various…"
"Not sure I understand your example about the failings of a neural network vs. the "workable" linear regression solution. Why invest your time and money on complex algorithms that are impossible to understand and maintain, when…"
"If everything else is automated and optimized, why not feature engineering? Software can feature engineer this as well, better than humans. So, everything will eventually need to be model validated by humans. The problem is that…"
"The advantage of having a GUI based predictive modeling environment cannot be over emphasized if true collaboration is desired among all stakeholders in a data science project. Often code based implementations can be siloed…"
"Good headline, but I don't think it as dire for R as your article makes it out to be. It is true that drag and drop encourages more collaboration among different participant skill levels (including some managers). In fact, one article I read…"
"There are many quants or traders in the financial domain , who work with their own tools (no R, no Python, no SAS) who could easily call themselves data scientists. All they need to do is develop 1 hedging strategy which yield multiples of…"
"Bill - Thanks for your viewpoint. I agree with a lot that you say. don't think the common single platform argument holds as well today as it used to. Certainly there is an advantage to having different orientations towards the…"
"No doubt that NoSql has added to our ability to capture and store the data. Unfortunately, I think the analytics or Machine Learning part is still behind in terms of the ability to directly analyze the large storage, and we still have to resort to…"
"Apparently, IBM trusts 'old' logistic regression enough to incorporate it as the basis of Watson for ranking Jeopardy answers. Food for though when considering the stability of a 'new' vs. 'old' technique.
"One could also make the argument that If a small improvement in the model accuracy make a big difference in the results, possibly the model is not as robust as you would like, and could need constant monitoring."
"OK. I get it. Prescriptive Analytics is sort of predictive analytics with optimization and scenario 'what-ifing' built in. True. We've been doing this for years. However, this definition does seem to make the…"
"If you a believer in the Gartner Hype Cycle "Predictive Analytics" has reached the Plateau of Productivity, and thus fallen off the chart, while "Prescriptive Analytics" has appeared and is making its climb towards the "Peak…"
"Some good points. I'm just trying to comprehend the interpretation of the two language graphs. Why would the first graph show Java, SAS, and Python as the top 3 with the most (analytic) jobs, while the 2nd graph show R, SPSS, and SAS with…"