Machine Learning Fundamentals for Healthcare
Machine Learning Fundamentals for Healthcare
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 36m | 210 MB
Instructor: Wuraola Oyewusi
There's an increased demand to integrate AI and machine learning workflows into many different business sectors. This is especially true in today's unique and constantly evolving global healthcare landscape.
In this course, instructor Wuraola Oyewusi provides an overview of how AI and machine learning can optimize healthcare processes, data analysis, health outcomes, and more. Along the way, gather insights drawn from real-world examples to address complex privacy and ethical considerations in the industry. Wuraola also shows you how to utilize machine learning for tabular healthcare datasets using a Google Colab Notebook, including clinical records, classification, predictions, regression, clustering, and localization.
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In this course, instructor Wuraola Oyewusi provides an overview of how AI and machine learning can optimize healthcare processes, data analysis, health outcomes, and more. Along the way, gather insights drawn from real-world examples to address complex privacy and ethical considerations in the industry. Wuraola also shows you how to utilize machine learning for tabular healthcare datasets using a Google Colab Notebook, including clinical records, classification, predictions, regression, clustering, and localization.
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