If you're wondering what the machine learning hype is about or want to know what it can do for your enterprise, without the technical jargon, this course is for you. In this Machine Learning for Business Professionals course students will learn what machine learning is, how to translate business problems into machine learning use cases, how to vet those use cases for feasibility and impact, how to discover unexpected use cases, how to carry a machine learning project through its various phases, and how to pursue machine learning and artificial intelligence responsibly and ethically.
Content
IntroductionThis module reviews the learning objectives for the course and introduces technology that will be important for completing labs.What is Machine Learning?This module defines what machine learning is, provides examples of how businesses are using it, contextualizes recent advances in machine learning, and reviews how artificial intelligence raises important ethical questions.Employing MLThis module reviews how to do machine learning, including how to label data, train and evaluate models and avoid reinforcing bias.Discovering ML Use CasesThis module reviews broad categories of ML use cases in order to jump start your ideation.How to be successful at MLThis module reviews what your business must do in order to be successful at ML, including how to acquire data, how to appropriately govern that data, and how to create a culture of innovation.SummaryThis module reviews the content in the course.