The goal of data scientists is to put themselves out of business
Part of a data scientist’s role is to automate his or her own work, leading to tools like prediction APIs. But these APIs are starting to replace data scientists in some… Read more »
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Part of a data scientist’s role is to automate his or her own work, leading to tools like prediction APIs. But these APIs are starting to replace data scientists in some… Read more »
Though these technologies are complex, it’s crucial that we understand them and how they work since they are powering the next wave of applications, performing tasks so complicated that traditional programming… Read more »
While consumers might be willing to trade their data for better experiences, John Foreman argues we might not understand the tradeoff at all. As machine learning advances, companies’ models will treat… Read more »
Get ready for a “product aware” world in which wearables, location and machine learning blur the lines between online and real world commerce to deliver hyper targeted results. Read more »
Ahead of our Mobilize event Oct. 16 and 17, we asked experts how 50 billion connected devices and 6 billion people change their industry. In this essay August’s Jason Johnson tackles… Read more »
Machine-learning technologies can be met with resistance from humans skeptical of their effectiveness or fearful of their impact. But it doesn’t have to be that way at your company. Read more »
We talk a lot about big data, but only analyze 1 percent of what’s available. In order to take advantage of the other 99 percent, we need to reconsider how we… Read more »
While some are hoping for better software to reduce the need for data scientists, WibiData’s Omer Trajman thinks we need more of them. Better software, he argues, is actually just a… Read more »