Of Course, and Here are the Most Common Tools/Approaches to Help Over the last few weeks, we have begun to unpack different categories of modeling types that most data science problems fall into. To that end, we have discovered different classification model algorithms and learned about their common applications in…

How the Word Gets Confused with the Model Type In data science, regression problems are problems where we want to train a model using features derived from data that can predict a numeric value (e.g. the target), within a certain confidence band (usually 95%). …

And Some Examples of It’s More Practical Use At its core, data science is all about developing models of data that allow us to predict something about the world. And our predictions largely fall into 4 different classes of models. Learning these classes is fundamental to starting out strong in…

Learn to Think Like a Data Scientist People interested in data science often ask me how they can be more effective in their use of data science? My simple answer? Learn to think like a data scientist. Learning any field requires that we learn how to think like professionals in…

A Simple Process [with code] for Integrating Domain Knowledge in FE In a recent post, I explained how small and medium sized businesses are often tied to data silos that make it difficult to access usable data. …

A Case for Data Science in Small & Medium Sized Businesses In our modern digital world, data are everywhere. But just because data are everywhere, does not mean that data are accessible everywhere. Quite the contrary in fact. Most of the data being generated by digital products are not useful…

Keep Your Skills Fresh with Fresh Data Sets As data scientists we need to keep up to date with our developer skills, even if we are not developers. I lead quite a few data scientists in my day-to-day activities. Those developers depend on me to steer the strategic direction of…

And How Students of Data Science Can Help Get Them Started Just as we are in life, in business we must also be flexible. This flexibility is especially true for small, medium, and startup businesses. But it is hard to be flexible when technology feels like it is ready to…

Stand On the Shoulders of Giants, Like Yeshimabeit Milner! One of the biggest struggles that loads of students of data science face, is tying together all the hard technical skills being learned from the vast internet of resources to meaningful social-economic-environmental-business problems. Is this a soft skill? Is it a…