Articles

The Shift From Open Source To Commercial Data Analytics Is Placing Cost Over Accuracy

The era of “big data” has been marked by a cataclysmic break from statistics. With the loss of the denominator across much of modern data science and a growing departure from the idea that the quality of our data influences the accuracy and representativeness of our results, we seem to have entered a “post-statistics” era of big data.

One of the key driving forces behind this transition has been the shift from open source tools and open data to opaque datasets processed through black box algorithms that make reproducibility and accuracy assessments impossible. In an era in which we no longer seem to care about the accuracy of our results, what does the future of data science hold in an increasingly proprietary world?

Source: forbes.com
Author: Kalev Leetaru

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s