How the Big Girls Build Machine Learning Products (Part II)

Is your company or your team thinking of leveraging Machine Learning to build awesome products? In this second part*, intended to be a quick read, I have included the key take-aways from the panel discussion at the end of the event on the best practices and tips when building ML products. Please comment to this article if you don't agree with something or you want to share your experience o( ω)o In short, ML is not a silver bullet for everything (shiny technology phenomenon), there are the following considerations that the panel mentioned. If all above is yes, moving to tips on how to make the most of ML: You will need feedback mechanisms, so you can correct the data overtime. Organising and cleaning data efficiently will be key, but so will be integrating the feedback loop in your system.