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Вернуться к Fundamentals of Machine Learning in Finance

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

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Оценки: 311

О курсе

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. A learner with some or no previous knowledge of Machine Learning (ML) will get to know main algorithms of Supervised and Unsupervised Learning, and Reinforcement Learning, and will be able to use ML open source Python packages to design, test, and implement ML algorithms in Finance. Fundamentals of Machine Learning in Finance will provide more at-depth view of supervised, unsupervised, and reinforcement learning, and end up in a project on using unsupervised learning for implementing a simple portfolio trading strategy. 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

AT

9 авг. 2019 г.

Furthered my understanding of how probabilistic models are connected to Machine Learning models. Very happy with the content in this course.

AT

2 сент. 2019 г.

Great course which covers both theories as well as practical skills in the real implementations in the financial world.

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26–50 из 69 отзывов о курсе Fundamentals of Machine Learning in Finance

автор: Serg D

5 дек. 2019 г.

автор: Luis P

28 янв. 2021 г.

автор: Zoltan S

11 авг. 2018 г.

автор: Daria Y

26 окт. 2019 г.

автор: Tunan T

28 нояб. 2020 г.

автор: Kenneth N

26 июля 2022 г.

автор: Wenxiao S

2 мар. 2020 г.

автор: Angelo J I T

10 авг. 2019 г.

автор: Arditto T

3 сент. 2019 г.

автор: Siyu D

19 сент. 2019 г.

автор: Craig V

25 июля 2020 г.

автор: Alvaro M

1 янв. 2020 г.

автор: 刘晶

6 нояб. 2018 г.

автор: Carlos S

7 апр. 2020 г.

автор: Yuning C

8 сент. 2018 г.

автор: Stefano M T

14 февр. 2020 г.

автор: Pavel K

28 нояб. 2018 г.

автор: mohamed h

8 дек. 2019 г.

автор: Zhao Y

29 сент. 2022 г.

автор: Sam

31 окт. 2021 г.

автор: Cannie L

30 дек. 2020 г.

автор: Benny P

11 дек. 2019 г.

автор: Hilmi E

5 авг. 2018 г.

автор: Jacques J

25 дек. 2018 г.

автор: Aydar A

27 июня 2019 г.