If you want to carve out a career in machine learning then knowing where to start can be daunting. Not only is the technology built on college-level math, jobs in the field typically ask for a Master's degree in a related technical field. Yet if you're willing to work at it, it's never been easier to learn about machine learning, and getting started doesn't even require much mathematical knowledge. Here's five tips for breaking into the field from senior data scientists and machine-learning engineers, speaking to TechRepublic at the AI Conference presented by O'Reilly and Intel AI. If you plan to start tweaking the machine-learning models used then you'll need need a reasonably deep knowledge of math, spanning linear algebra, calculus and statistics.