Supervised and unsupervised learning algorithms are often the first two ‘families’ of techniques introduced in machine learning classrooms and textbooks. So, what are they? (more…)

My first year as a data scientist, I witnessed myself and others retyping the same lines of code and retracing our work time and time again. Perhaps some of this…

So you know what you need in a good data scientist, but do you know how to evaluate these fundamental skills? What resources are available to support your decision-making process?…

How can you use the Twitter API to keep a pulse on your customer base or market trends? From tracking followers to analyzing brand affinity, we’ll take a look at…

Data science as a practice has exploded in the last 15 years, and is expected to continue its rapid growth in the coming years. This growth is supported by an…

In building a data-driven organization, unifying disparate datasets is essential, providing a comprehensive baseline for modeling and analysis. But joining data together to establish this baseline can be messy. (more…)

The advanced analytics space is all about results. Your company expects the data team you built to deliver actionable insights that improve the company. However, when that same team fails…

An Expansion of Analytics-focused Role In response to the huge growth in data and its increasing importance to organizational strategy and growth, a variety of roles have been created to…

As a recruiter, you dread this situation: After the first month on the job, the new hire turns out not to be the strong candidate they exhibited in the talent…

The hiring manager tells you, “Another new hire isn’t meeting expectations.” New hires who don’t pan out not only foil the trust in the recruitment process but costs the business…