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.
Acerca de este Curso
- 5 stars45,31 %
- 4 stars20,62 %
- 3 stars14,37 %
- 2 stars5,31 %
- 1 star14,37 %
Principales reseñas sobre FUNDAMENTALS OF MACHINE LEARNING IN FINANCE
This is a great course, I strongly recommend. However, the assignments take a while to finish.
Great class, but don't believe the programming assignment time estimates... takes way longer!
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.
Acerca de Programa especializado: Machine Learning and Reinforcement Learning in Finance
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
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