Machine Learning at Scale with H2O

Chapter 1: Opportunities and Challenges

Machine Learning (ML) and data science are winning a popularity contest of sorts, as witnessed by their headline coverage in the popular and professional press and by expanding job openings across the technology landscape. Students typically learn ML techniques using their own computers on relatively small datasets. Those who enter the field often find themselves in the much different setting of a large company buzzing with workers performing specialized job roles, while collaborating with others scattered across the nation or world. Both data science students and data science workers have a few key things in common – they are in an exciting and growing field that businesses deem ever more critical to ...