Our very own AIMS Data Scientist Alessandra Cagnazzo – who also happens to hold a PhD in Theoretical Physics – presented at the recent AIMS Talks in Oslo. She spoke about the concept of optimization and how it underpins machine learning, and discussed ways that we can optimize our business and our lives.
Watch the video of her session, and read a short summary below.
Alessandra spoke about optimization. According to Wikipedia: In the simplest case, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function.
Data scientists have no idea what is behind the data. They will need to find out why the data is behaving the way it does. Real data is messy, but being able to interpreted the data is an enormous value to your company. The way to go is always minimizing the data. AIMS will do this for you using machine learning technologies.
Minimizing maximizes your business!