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Avis et commentaires pour l'étudiant pour Guided Tour of Machine Learning in Finance par Université de New York, Tandon School of Engineering

378 notes
118 avis

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


Aug 24, 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.


May 28, 2018

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

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101 - 105 sur 105 Examens pour Guided Tour of Machine Learning in Finance

par Alberto G C

Sep 10, 2018

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

par Hoang N T

Oct 04, 2018

Instructions completely unclear.Variables are named term1 and term2 with no reference to which formula. Not only is this not a unique decomposition (I could write this as 4 terms or 1 term depending on the algebra), but it is terrible coding practice.Covers material and requires knowledge of things never even discussed in the course. If this is done, it should be walked through pedagogically. This is for educational purposes after all. This assignment really seems like someone just wrote a jupyter notebook going through this calculation and erased a few random lines then expected us to be able to read their minds as to what was there.

par Matthieu B

Aug 31, 2018

A guided tour with too many shortcomings and errors assessments.

par Deleted A

Jul 03, 2018

not what was expected

par Amir T

Apr 12, 2019

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.