Machine learning is a popular and rapidly growing field these days, but there aren't a lot of machine learning tools available in Elixir; some in the programming community have even suggested that BEAM isn't suited enough to the necessary number crunching to do serious machine learning work. Not so! In this talk, we'll walk through training a home-grown neural network written in Elixir on financial data from the S&P 500, then develop a Phoenix application to use that network to try to predict stock prices.
Github: ericqweinstein
Twitter: @ericqweinstein