University of Minnesota

Description Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and…

Description Once you have hired good employees, the next step that successful people managers take is to develop the full potential of their employees. Performance management is a process that helps managers achieve the goal of getting the best from their employees. In this third course in the Human Resources for People Managers specialization, we…

Description How do children overcome hazardous experiences to succeed in life? What can be done to protect young people at risk from trauma, war, disasters, and other adversities? Learn about the importance of fostering resilience in children at risk. During this course, participants will: learn how trauma can affect children and the systems they depend…

Description In this first of our five courses, Dr. Karen Monsen introduces the nursing informatics leadership essentials and skills that will guide you through your studies as you apply leadership principles to the nursing informatics specialty. Course Objectives: • Describe essentials of nursing informatics leadership to gain a foundation for study in this specialization •…

Description This capstone project course for the Recommender Systems Specialization brings together everything you’ve learned about recommender systems algorithms and evaluation into a comprehensive recommender analysis and design project. You will be given a case study to complete where you have to select and justify the design of a recommender system through analysis of recommender…

Description One way or another, all employees are managed. But approaches to managing employees varying from employee-to-employee, job-to-job, manager-to-manager, organization-to-organization, and country-to-country. This course provides a foundation for developing your own approach to skillfully managing employees by illustrating alternative human resource management (HRM) strategies, introducing the importance of the legal context, and thinking about what…

Description In this course in the Healthcare Marketplace specialization you will identify, define, and describe potential business and public policy solutions to the challenges facing society’s growing demand for health services. Students will master a body of knowledge on the health care sectors major components through reading and reflection. Healthcare has many different cultural components…

Description In this course, we explore the AMIA Nursing Informatics History Project. By the end of the module, you will understand the resources available that will be used in this course to learn about the first hand experiences, future vision, and lessons learned in becoming a nursing informatics pioneer. Course Objectives: • Explore the history…

Description In this course you will learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems. Starting with basic matrix factorization, you will understand both the intuition and the practical details of building recommender systems based on reducing the dimensionality of the user-product preference space. Then you will learn about techniques…

Description In this course you will learn how to evaluate recommender systems. You will gain familiarity with several families of metrics, including ones to measure prediction accuracy, rank accuracy, decision-support, and other factors such as diversity, product coverage, and serendipity. You will learn how different metrics relate to different user goals and business goals. You…