Three Questions That Can Make Data Science “Built to Last”

Data scientists should ask themselves these three questions everyday!

Melinda Thielbar

Big data is here to stay. There are too many opportunities to improve our lives, our businesses, and our selves using technology that is declining in cost and rising in value–at least for those who are able to harness it. From individualized medicine, to the Internet of Things, we are generating data with our every breath, and if it’s used in the best way, we are on the brink of a technology revolution that will overshadow the industrial revolution.

The question, then, is: What is the best way?

There’s been a lot of backlash against big data, which Ray Rivera discusses brilliantly in his SAP/Forbes article “Why Big Data is Getting the Bully Treatment.” Like all big changes, the move to data-driven decisions in our offices, in our schools, and in our lives, is frightening. There are hazards (both moral and technical). There’s the problem of what…

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Topology and Data Analysis

In a previous post I highlighted the Silicon Valley startup Ayasdi, a company that designs visualization software for data analysis. I came across this article, which highlights an application of Ayasdi Iris to cancer data. 

Start a Blog!

One reason I started this blog was to create a portfolio of my academic work. I found this article via @KirkDBorne on Twitter, which argues why blogging is good for science students.