Speaker: Seth Weidman
He / him / his
Data Scientist @SentiLink
Seth has been a Data Scientist at SentiLink, a SaaS company that uses machine learning to detect different kinds of fraud for the financial services industry, for almost three years, though he has recently moved into Product Management. Prior to SentiLink he worked as a Data Scientist at several other companies including Facebook, and authored a book on the subject of this workshop called 'Deep Learning From Scratch' that was published by O’Reilly in September 2019.
Neural Networks continue to be the bleeding edge of Machine Learning, from smashing image benchmarks in the 2010s to powering ever-improving language models today. But how do they work “under the hood” - are there some graduate physics-level mathematical tricks involved, for example?