Machine Learning Times
Machine Learning Times
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data science

The Myth of the Mythical Unicorn

  Many have claimed recently that multifaceted data scientists are mythical beings, as impossible to find as unicorns. This itself is a myth, and a dangerous one at that. Hype is cyclic. A new idea excites people, exaggerated claims are made (and often believed), and the idea takes on bigger-than-life proportions. Eventually, however, reality sets

The Well-Rounded Data Scientist

  The work of interpreting data to help decision-makers goes back some 5,000 years to the bureaucrats and businessmen of ancient Sumer. But dealing with the astronomical size and complexity of modern data sets requires a new,...

Employee Churn 202: Good and Bad Churn

 Our prior article on this venue began outlining the business value for solving “the other churn” – employee attrition. We introduced the “quantitative scissors” with a simple model of employee costs, benefit, and breakeven points. The goal...

Overspecialization throws data science dream teams off-balance

  Building a data science team is difficult enough, but growing one without losing the team’s effectiveness is a major challenge. Here’s why overspecialization is the wrong approach to growth. You’ve built a great data science team,...

Why Soft Skills Matter in Data Science

 I’d like to offer up some thoughts about what it means to practice data science in the real world, because merely knowing the math isn’t enough. Anyone who knows me well knows that I’m not the sharpest...

Data Science – Found Your Unicorn Yet?

 You’ll find much banter in the data science ecosystem these days about all the skill-sets required to effectively function as a data scientist. Some have gone so far as to label the perfect melange of experience and...

Python Displacing R As The Programming Language For Data Science

  R remains popular with the PhDs of data science, but as data moves mainstream, Python is taking over. While R has traditionally been the programming language of choice for data scientists, it is quickly ceding ground...

Analytics 3.0 — the old guard masters how to build data products

 Asked to name a big data company, many of us would say Google or Facebook or eBay. But for old-school giants such as General Electric Co. and Macy’s Inc., big data is fast becoming as central to...

Data Science Wars: Python vs. R

 As I frequently travel in data science circles, I’m hearing more and more about a new kind of tech war: Python vs. R. I’ve lived through many tech wars in the past, e.g. Windows vs. Linux, iPhone...

R usage skyrocketing: Rexer poll

  Rexer Analytics has been conducting regular polls of data miners and analytics professionals on their software choices since 2007, and the results of the 2013 Rexer Analytics Data Miner Survey were presented at last month’s Predictive...

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