This course aims at providing an introductory and broad overview of the field of ML with the focus on applications on Finance. Supervised Machine Learning methods are used in the capstone project to predict bank closures. Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance.
This course is part of the Machine Learning and Reinforcement Learning in Finance Specialization
About this Course
Syllabus - What you will learn from this course
Artificial Intelligence & Machine Learning
Mathematical Foundations of Machine Learning
Introduction to Supervised Learning
Supervised Learning in Finance
- 5 stars41.91%
- 4 stars23.88%
- 3 stars13.71%
- 2 stars10.63%
- 1 star9.86%
TOP REVIEWS FROM GUIDED TOUR OF MACHINE LEARNING IN FINANCE
Great general overview of machine learning. I think the course can be re-organized to incorporate some of the theory and some coding tips as well, however.
Introduction of ML for Financial application with combination of Scikit learn, Statsmodels and Tensorflow with neuralnets made this class very interesting. Learned and Enjoyed lot.
The course content is a mix of theory and practical stuff. One star off is due to the poor quality of programming assignment, i.e., unclear instructions and explanations.
More or less this course is good and interesting. However, homework assignments were awful. It's unclear and it's very hard to understand what is asked and how it would be graded.
About the Machine Learning and Reinforcement Learning in Finance Specialization
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