Overfitting / Underfitting – How Well Does Your Model Fit?

  Supervised machine learning is inferring a function which will map input variables to an output variable. Let’s unpack this definition a bit with an example. Say that we are a bank that wants to determine to whom we should give a loan. The objective, therefore, is to infer a function that examines a set … Continue reading Overfitting / Underfitting – How Well Does Your Model Fit?

Manage Projects like a Roman Emperor

Our actions may be impeded but there can be no impeding our intentions or dispositions, because we can accommodate and adapt. The mind adapts and converts to its own purposes the obstacle to our action. The impediment to action advances action, what stands in the way becomes the way. Marcus Aurelius was the last of … Continue reading Manage Projects like a Roman Emperor

The Stoicism of Project Management

“What is quite unlooked for is more crushing in its effect, and unexpectedness adds to the weight of a disaster. The fact that it was unforeseen has never failed to intensify a person’s grief. This is a reason for ensuring that nothing ever takes us by surprise. We should project our thoughts ahead of us at every turn and have in mind every possible eventuality instead of only the usual course of events.”

RAID Logs

Whether you are using a waterfall or agile approach, the RAID log enables managers to bring into focus project matters that should be at the stakeholders’ top of mind. In addition, it documents assumptions and decisions that are made during the execution process.

What is the Philosophy of Data Science (and Should Data Scientists Care)?

Recently I had read a LinkedIn article by Kalyan Sambhangi in which he asked where are all the data philosophers.[1] He makes a good point, if data science is truly a science shouldn’t the philosophy of science be applicable to it as well; i.e. the philosophy of data science. I agree; it should. So, let … Continue reading What is the Philosophy of Data Science (and Should Data Scientists Care)?