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.
À propos de ce cours
- 5 stars45,42 %
- 4 stars20,82 %
- 3 stars14,51 %
- 2 stars5,04 %
- 1 star14,19 %
Meilleurs avis pour FUNDAMENTALS OF MACHINE LEARNING IN FINANCE
Great class, but don't believe the programming assignment time estimates... takes way longer!
This is a great course, I strongly recommend. However, the assignments take a while to finish.
So far so good. The lecturer refers to projects of which some weren't covered in this course. So a little confusing. Takes lots of googling to finish this course.
Great course which covers both theories as well as practical skills in the real implementations in the financial world.
À propos du Spécialisation Machine Learning and Reinforcement Learning in Finance
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