Home AI Courses ML in Healthcare: Fundamentals & Applications

ML in Healthcare: Fundamentals & Applications

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Explore healthcare data mining methods, theoretical foundations of key techniques, selection criteria, and practical applications with emphasis on data cleansing, transformation, and modeling for real-world problem solving.

Key AI Functions:Machine Learning,Data Mining,Artificial Intelligence

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Description for ML in Healthcare: Fundamentals & Applications

Investigate data mining techniques that are specifically designed for healthcare environments.

Acquire an understanding of the theoretical underpinnings of critical data mining methodologies.

Select and implement suitable methodologies, while assessing their advantages.

Focus on practical solutions for data purification, transformation, and modeling in healthcare scenarios, while acquiring proficiency in contemporary data mining tools and essential programming skills.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Northeastern University

Duration: 18 hours to complete

Schedule: Flexible

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