The omnipresence of big data across various domains has motivated many stakeholders to make the most of their data.
This demand triggered research and development of automated machine learning (AutoML) tools and methods that aim to make machine learning accessible to non-machine learning experts. While automation is one of the foremost selling points of AutoML, a surprising level of human involvement is still required with lengthy back-and-forth loops.
Why is that? And how does InstantML eliminate these labor-intensive steps?
Our brand new whitepaper explains it.
Don’t miss out and download the whitepaper here: