Panel on Machine Learning on the BEAM

Machine learning is a method of programming where software is generated by other software. It's taught, or "learned" using examples, statistics, and iterative improvements to create useful functions. Nx, Axon, and other projects in Elixir and Erlang are bringing the benefits of machine learning to the BEAM. In this discussion, a panel of machine learning experts consider recent development in ML and BEAM languages and explore future work to help release the promise of machine learning for scalable, fault tolerant systems. If you're new to machine learning or a seasoned expert, this discussion will bring you up to speed on ML and the BEAM and will inspire your work in data-enabled application development.