The course aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) understanding where the problem one faces lands on a general landscape of available ML methods, (2) understanding which particular ML approach(es) would be most appropriate for resolving the problem, and (3) ability to successfully implement a solution, and assess its performance.
About this Course
- 5 stars45.42%
- 4 stars20.82%
- 3 stars14.51%
- 2 stars5.04%
- 1 star14.19%
TOP REVIEWS FROM FUNDAMENTALS OF MACHINE LEARNING IN FINANCE
Great class, but don't believe the programming assignment time estimates... takes way longer!
Great course which covers both theories as well as practical skills in the real implementations in the financial world.
Furthered my understanding of how probabilistic models are connected to Machine Learning models. Very happy with the content in this course.
This is a great course, I strongly recommend. However, the assignments take a while to finish.
About the Machine Learning and Reinforcement Learning in Finance Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
More questions? Visit the Learner Help Center.