"The journey of a thousand Deep neural network models, begins with one (Deep)chess game.
Whenever I come across something trending, I generally go back to history to see how it evolved. Looking back at history allows me to see trends clearly and think logically. I did the same for Data Science to understand what events in history directly/indirectly influenced it to become pervasive in the business world today.
In this talk, we’ll go back over a century to the dawn of modern statistics and look at the engineering challenges, technological advancements, and paradigm shifts that brought us from the humble regression models to the massive networks we see today. "