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 stars41.82%
- 4 stars23.91%
- 3 stars13.73%
- 2 stars10.64%
- 1 star9.87%
TOP REVIEWS FROM GUIDED TOUR OF MACHINE LEARNING IN FINANCE
Very Difficult - Impossible to succeed without very strong prior experience. Would deserve more guidelines
The course is easy to understand and give insightful details on how to apply machine learning in finance
Exceptional disposition and lucid explanations! Ideal for a Risk Management professional to sharpen machine learning skills!
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.
About the Machine Learning and Reinforcement Learning in Finance Specialization
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