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Avis et commentaires pour d'étudiants pour Guided Tour of Machine Learning in Finance par New York University

3.8
étoiles
640 évaluations

À propos du cours

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....

Meilleurs avis

LP

22 oct. 2021

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.

KD

23 août 2019

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.

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par GUILLERMO R

29 nov. 2018

par Deleted A

31 mai 2020

par EDGAR H M

6 mai 2020

par 刘晶

15 oct. 2018

par Pavel K

28 nov. 2018

par Luis A

15 nov. 2018

par Sileye B

21 déc. 2020

par mohamed h

27 oct. 2019

par Yergali B

4 janv. 2019

par Daria Y

15 mai 2020

par Vilimir Y

2 mars 2020

par Yuning C

8 sept. 2018

par Muntu M

18 janv. 2020

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5 avr. 2020

par Jenyi L Y

17 sept. 2018

par Yangtao W

2 déc. 2018

par WangFangpo

7 oct. 2019

par Ezequiel A G

7 août 2018

par LiengPhu T

15 janv. 2021

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par hamid.zand

30 juin 2018

par Sam

31 oct. 2021

par Russell H

1 sept. 2018

par Benny P

6 déc. 2019

par Hashim M

29 déc. 2018