The revolutionary power of machine learning (ML) and artificial intelligence (AI) in healthcare is immense. Still, its full potential can only be realized if all contributors possess essential competencies in both healthcare and machine learning principles. In this course, you will go into the fundamental concepts and principles of machine learning specifically tailored to the medical and healthcare domains.
You will explore various machine learning approaches, examine relevant medical use cases, pave your way into healthcare-specific metrics, and provide best practices for designing, developing, and assessing machine learning applications in healthcare settings. This course aims to empower individuals from diverse backgrounds, including healthcare, health policy, pharmaceutical development, and data science, with the necessary knowledge to evaluate and effectively utilize these technologies critically.
🆓 Free to Audit
🕒 Approx. 14 Hours
✏️ Beginner Level
🧾 Paid Certificate Available Upon Completion
🎓 Offered by Stanford University via Coursera
