Speaker: Dr. Francisco J Martin
In the age of data, Machine Learning is the key component to make data-driven decisions, develop smart applications, and build predictive analytics. However, Machine Learning is complex. The current tools are complicated and do not scale well. Most solutions are costly, easily involving hundreds of thousands of dollars and substantial resources. Additionally, experts with industry experience are very scarce. BigML is building a scalable, cloud-based service that makes Machine Learning easy or, at least, lowers the barriers that most developers and business folks face to learn from data. In this talk, I will first demo BigML and then describe the efforts, highlight some of the key findings, and discuss some of the challenges from a technical, user, and business perspective, related to developing a Machine Learning service for the masses.