Machine Learning, Artificial Intelligence, Deep Learning, Neural Networks.
the solutions to x could be infinite. To find a good one out of those solutions, you want to make sure each component of your selected solution x captures a useful feature of your data. By L1 regularization, you essentially make the vector x smaller (sparse), as most of its components are useless