How can we prototype and validate machine learning ideas without the most essential raw material? How can we efficiently obtain and create value with data when resources are sparse?
At my workplace, we produce a lot of functional prototypes for our clients. Because of this, I often need to make Small Data go a long way. In this article, I’ll share 7 tips to improve your results when prototyping with small datasets.