Chevron Left
Retour à Guided Tour of Machine Learning in Finance

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.

Filtrer par :

101 - 125 sur 195 Avis pour Guided Tour of Machine Learning in Finance

par Zheng W

22 sept. 2018

par Mohammed B

2 févr. 2020

par gayatri l

7 févr. 2020

par Edward W

26 juil. 2020

par Noordeen M

23 juin 2019

par Raphael C

4 juil. 2020

par Xiaobin X

25 juin 2018

par Wei-Chun K

27 avr. 2020

par Alek R

17 oct. 2018

par Kevin C N

26 avr. 2020

par Humberto D

14 avr. 2021

par Roland E

8 janv. 2020

par Fabien N

12 janv. 2020

par Jeffrey G

9 avr. 2021

par Luis S M

29 mars 2020

par Ruixin Y

18 juin 2018

par Debasish K

26 févr. 2019

par LV

25 août 2019

par Desi R I

18 sept. 2018

par Dossiman

11 oct. 2018

par Umendra C

18 nov. 2018

par Jean-François P

2 sept. 2022

par Shobhit L

5 août 2018

par Curiosity2016

22 sept. 2018

par Daham K

10 mai 2020