Description for Machine Learning Basics
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by Sungkyunkwan University
Duration: 3 weeks at 4 hours a week
Schedule: Flexible
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Explore the intersection of finance and machine learning to gain insight into the ways in which AI is transforming the future of financial services.
A brief synopsis of this course is that it covers the development of interpretable machine learning applications utilizing random forest and decision tree models, emphasizing feature importance analysis for responsible machine learning implementation.
The objective of this course is to provide students with an understanding of the future of finance and investments, as well as the role of emergent AI and Machine Learning technologies in InsurTech and Real Estate Tech.
This course teaches Python-based machine learning techniques, including linear regression and classification.
The training combines ISO/IEC 42001 compliance with ethical and efficient AI techniques to provide an organized and responsible approach to AI management.
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