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
521 évaluations
162 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

KD

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.

AB

May 28, 2018

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

Filtrer par :

126 - 149 sur 149 Avis pour Guided Tour of Machine Learning in Finance

par Omar E O F

Jun 14, 2019

Very goo lectures, but assessment exercises are not well defined. Examples not shown in lectures. Not enough briefing for starting exercises. No active forum for discussion.

par Vivek U

Jul 14, 2018

Exellent content let down by endless flaws in grading system and lack of responses from tutor or instructor. Issues finally resolved 2 days before course end date.

par Liuyi Y

Mar 17, 2020

I've practiced the project before and these projects are very messily written...I would suggest MIT 6.86 as an alternative for this intro course

par Conan H

Sep 27, 2018

Interesting overview let down by lack of clarity on exercises such as the exact formulae and expected format of the outputs.

par Leo s

Sep 12, 2018

I faced some technique issue with submitting assignment. I hope there would be some technic help.

par Abhinav C

Feb 16, 2020

Was expecting bit more indepth. Very poor exercises with no reference to lectures. Disappointed.

par Quentin V

Jul 29, 2018

The automatic grading system does not work.

par Sean H

Jul 31, 2018

The material is promising, but the staff running the course do not give a lot of direction on how to pursue learning the content. The programming assignments are left almost completely to the students guessing what they're suppose to do with little direction. There is almost no feedback on how your code has performed, except to say that your code was wrong, which you already understand from not getting the points. While I was able to achieve a passing grade in this course and the next, it was only because of the community of students that figured things out together, but with no other reliable way of figuring the material out. The code was also rife with bugs that weren't fixed for weeks while students tried and failed over and over again to pass assignments that they simply could not pass. It ended up wasting many hours of my time and, no doubt, other students' time. Simply check the forums to see the frustration from the Coursera community, that normally expects and receives high quality educational content.

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 Casey C

Aug 19, 2018

I am incredibly disappointed with this course. The subject material seems extremely interesting, and I couldn't wait to go through the course, but the graded programming assignments are terrible. They are vague to the point of impossible - the only way to pass them is to read the discussion forums and find a solution that has worked or guess and check. They cover material and techniques not even mentioned or referenced anywhere in the lectures or instructions. Worst of all, is these issues have been left unaddressed by the administrators for months despite students repeatedly voicing their concerns.

par Hussein H

Jan 25, 2020

The name of the course is what caused me to purchase, I was super excited for this course up until i reached the coding assignment. The instructions we practically not succinct whatsoever and i literally had no clue what it was asking and how to even start. From the discussions and reviews it appears alot of people have this same issue.

par Ehsan F

Jan 18, 2020

It is neither good for the beginners nor for advanced users. Specially on the finance side it's almost useless. People don't come here so you send them to read several different books. They come here so you teach them what they would find in those books. That's the actual added value and the service you are supposed to provide.

par Pierre C D M

Oct 14, 2018

The assignements do not match the content of the video therefore you are not able to test whether you understood the material or not. Basically it is better to buy the book "Hands on machine Learning" by Geron and work on Financial exam

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.

par Peter L E

Mar 03, 2020

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).

par wasif.masood

Sep 06, 2018

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.

par Boris S

Aug 21, 2018

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.

par Deleted A

Jul 31, 2018

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

par Ryland M

Aug 08, 2018

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

par Alberto G C

Sep 10, 2018

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

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 Paolo P

Feb 29, 2020

terrible course

par Andreas A

Nov 21, 2018

Horrible labs