This course examines the differences between machine and human learning and the ways in which machines can complement human learning. It examines technical definitions of supervised and unsupervised machine learning, as well as broader views of mechanical intelligence able to replicate or exceed human intelligence. The course will also explore practical applications of learning analytics and artificial intelligence in learning management systems and other educational tools and critically interrogate the applications of AI in education. The course is designed to aspiring and current educators, and anyone who is interested in the intersection of human and machine learning, and AI applications in education.

Machine Learning and Human Learning

Machine Learning and Human Learning
This course is part of Artificial Intelligence in Finance and Wealth Management Specialization



Instructors: Dr William Cope
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2,653 already enrolled
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Tools you'll learn
Details to know

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Taught in English
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Build your subject-matter expertise
This course is part of the Artificial Intelligence in Finance and Wealth Management Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 4 modules in this course
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