Just because something can be measured, doesn’t mean it is helpful in achieving your goal.

Photo by Praveesh Palakeel on Unsplash

You are driving down the road when a cop pulls behind you, no lights flashing, just turning onto the highway and you happen to be in front. You aren’t speeding, intoxicated, on your phone, or anything else of concern. Just going from A to B, but you still glance down at the speedometer, just in case. At this moment, you don’t care about your engine temperature, how much gas you have, or if your oil pressure is low. …


Photo by Rich Smith on Unsplash

Just because you know ML, that doesn’t mean you should apply it to every problem.

With the rise of machine learning MOOCs and cheaper compute power, it’s becoming much easier for data enthusiasts to explore the depths of machine learning and the data science toolkit. Sprinkle in the continuous success stories surrounding machine learning in popular news, and data laymen begin to have an appetite for data science. Before I go on I need to be clear in that I believe the growing supply of self-taught data scientists is overall a phenomenal development for the field of Data Science. It will only lead to advancements down the road as more people are included. …

Tim Lee

BI Consultant and Data Scientist at Dell EMC

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