"Machine learning" is an excellent tool to separate extra money from "customers". Founders are separating extra money from VCs. Engineers are separating extra m

"Machine learning" is an excellent tool to separate extra money from "customers". Founders are separating extra money from VCs. Engineers are separating extra money from the founders. Just reading this thread keeps illustrating this. Want to get a job done? Use a tool that gets a job done. Want to talk about getting a job done and be "listened" to - use ML to beat around the bush. This is no different from all these companies talking about Big Data[tm] a few years ago, hiding people to build large processing clusters when their entire dataset would fit into memory of $700 server obtained from Ebay. Neither it is different from companies mumbling about availability challenges when the entire stack gets sub 100 hits per second.