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Вернуться к Guided Tour of Machine Learning in Finance

Отзывы учащихся о курсе Guided Tour of Machine Learning in Finance от партнера New York University

3.8
звезд
Оценки: 548
Рецензии: 173

О курсе

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....

Лучшие рецензии

KD
23 авг. 2019 г.

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.

AB
27 мая 2018 г.

Exceptional disposition and lucid explanations! Ideal for a Risk Management professional to sharpen machine learning skills!

Фильтр по:

151–160 из 160 отзывов о курсе Guided Tour of Machine Learning in Finance

автор: Peter L E

3 мар. 2020 г.

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).

автор: wasif.masood

6 сент. 2018 г.

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.

автор: Boris S

21 авг. 2018 г.

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.

автор: Deleted A

31 июля 2018 г.

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

автор: Ryland M

8 авг. 2018 г.

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

автор: Alberto G C

10 сент. 2018 г.

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

автор: Matthieu B

31 авг. 2018 г.

A guided tour with too many shortcomings and errors assessments.

автор: Deleted A

3 июля 2018 г.

not what was expected

автор: paolo p

29 февр. 2020 г.

terrible course

автор: Andreas A

20 нояб. 2018 г.

Horrible labs