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Guided Tour of Machine Learning in Finance に戻る

New York University による Guided Tour of Machine Learning in Finance の受講者のレビューおよびフィードバック



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. The goal of Guided Tour of Machine Learning in Finance is to get a sense of what Machine Learning is, what it is for and in how many different financial problems it can be applied to. The course is designed for three categories of students: Practitioners working at financial institutions such as banks, asset management firms or hedge funds Individuals interested in applications of ML for personal day trading Current full-time students pursuing a degree in Finance, Statistics, Computer Science, Mathematics, Physics, Engineering or other related disciplines who want to learn about practical applications of ML in Finance Experience with Python (including numpy, pandas, and IPython/Jupyter notebooks), linear algebra, basic probability theory and basic calculus is necessary to complete assignments in this course....




Very useful course. Personally, I think that there should have been more focus on the implementation of tensorflow and neural network codes. Overall the course is well structured and very clear.



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.


Guided Tour of Machine Learning in Finance: 176 - 193 / 193 レビュー

by Ehsan F


It is neither good for the beginners nor for advanced users. Specially on the finance side it's almost useless. People don't come here so you send them to read several different books. They come here so you teach them what they would find in those books. That's the actual added value and the service you are supposed to provide.

by Alvaro R


The course is very bad in explaining the tensorflow library, also there are no jupyter notebooks to practice, the teacher does not explain programming or mathematics in detail assuming that all students are experts in mathematics or have a Phd degree. Worst coursera course.

by Pierre C D M


The assignements do not match the content of the video therefore you are not able to test whether you understood the material or not. Basically it is better to buy the book "Hands on machine Learning" by Geron and work on Financial exam

by Amir T


The teaching quality is poor and lacks practical examples. It is too technical, which you don't expect for this kind of courses. The mathematics were presented poorly and sometimes without context.

by P E


Utterly pointless. The in-video questions were terrible - they didn't test knowledge and were often irrelevant ("Lets move on and learn tensorflow" should *never* be an answer to a question).

by wasif.masood


This guys uses so difficult language to explain which to me looks like as if he himself does not really know what he is teaching. This is really annoying. The course outline is good though.

by Amin D


Worst course I have seen in coursera so far. Questions in assignments are not explained well. You need to have advanced knowledge and also you should figure out the questions by yourself.

by Luis P


Horrible assignments. No help from TAs whatsoever. Zero finance explanation. And the machine learning content (tensorflow in particular) is outdated, nobody uses Tensorflow 1.0...

by Boris S


Totally useless course. The professor has no idea how to teach. I recommend to take a good course in machine learning and a good course in finance instead this one.

by Deleted A


The course content is okay but the assignments are so poorly designed and no one responds to the questions on Week3 assignment #5.

by Martin M


Very difficult and boring to understand the instructor. Almost like a robot reading through a transcript.

by Ryland M


horrendous on all fronts. so disappointed. hoping the next course in specialization is better.

by Alberto G C


Assignments are very poorly explained and not always related to the lessons

by Saeed Z


the assignment and the tutor's explanation regarding codings are horrible

by Matthieu B


A guided tour with too many shortcomings and errors assessments.

by Deleted A


not what was expected

by paolo p


terrible course

by Andreas A


Horrible labs