According to the Gartner Hype Cycle Machine Learning is currently at the peak of being hyped. Scanning current press publications we can find anything from Elon Musk warning about AI being the biggest existential threat to humanity, scientists fooling machine learning models with seemingly tiny modifications to street signs, machine learning enhancing smart phone pictures, as well as introductory material trying to explain what machine learning is about.
According to Wikipedia "Machine learning is the subfield of computer science that, according to Arthur Samuel, gives "computers the ability to learn without being explicitly programmed."
This keynote will detail what it takes to build a successful machine learning pipeline. We will explore some examples of how machine learning has evolved over the last twenty years and close with highlighting some of the implications that new machine learning based systems have.