The Life And Times Of Machine Learning Articles Big Data

The need for technology to catch up to our imaginations has been a constant feature of AI since the first spark of an idea flickered into existence. This is because no matter how far it comes, there will always be a new generation for whom it is still inadequate. Sam Zimmerman, CTO & Co-founder at Freebird and another one of our speakers, describes the immense amount of progress which has been made since he entered the machine learning world less than 8 years ago. "When I first entered the field in 2011, machine learning was just beginning to extend outside of advertising and finance into domains like sentiment analysis and computer vision. Largely this was a migration from quite clear optimizations of well-defined outcome variables (like click-through-rates and PnL) to much more abstract, subjective, and ill-defined outcome variables (like the "sentiment" of a sentence or the "setting" of a photo)."