Building and deploying large-scale machine learning pipelines

Register for Hardcore Data Science Day at Strata Hadoop World NYC 2015, which takes place September 29 to October 1. There are many algorithms with implementations that scale to large data sets (this list includes matrix factorization, SVM, logistic regression, LASSO, and many others). In fact, machine learning experts are fond of pointing out: if you can pose your problem as a simple optimization problem then you're almost done. Of course, in practice, most machine learning projects can't be reduced to simple optimization problems. Data scientists have to manage and maintain complex data projects, and the analytic problems they need to tackle usually involve specialized machine learning pipelines.