How 3 Startups Are Tackling Machine Learning Challenges

Machine learning is the secret sauce that allows us to use computers to automate tasks in powerful new ways. However, there are a lot of steps that must go right for the ML to work: ideas must be mined from huge amounts of data, clean sample data must be provided to train models, and models must be managed and maintained over time. Here are three startups looking to simplify some of these aspects of the ML lifecycle. Before a data scientist can build a machine learning model, she must first identify patterns in the real world. There are various ways to identify patterns.