Would you rather take a year to develop a proprietary algorithm for your company that has an accuracy of 95% or use an open source platform that takes a day to develop an algorithm that has nearly the same accuracy? In most business cases, you’d choose the latter. In this episode, we talk to Till Bergmann who works on a team that developed TransmogriAI, an open source project that helps you build models quickly.
We respond well when people remember things about us—specific things, like our names or our birthdays or our favorite foods or our unusually fuzzy pet llama named Roberto. It makes us feel important. This same concept applies to data visualization. However, it is often disregarded. Thus, you end up making bad data visualization. Bad Data Visualization Example Your audience will care about your data visualization if you show you care