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Guided Tour of Machine Learning in Finance(으)로 돌아가기

New York University의 Guided Tour of Machine Learning in Finance 학습자 리뷰 및 피드백

3.8
별점
617개의 평가
200개의 리뷰

강좌 소개

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....

최상위 리뷰

LP
2021년 10월 22일

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
2019년 8월 23일

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.

필터링 기준:

Guided Tour of Machine Learning in Finance의 188개 리뷰 중 51~75

교육 기관: Deleted A

2020년 5월 31일

So mouch happy to take the modules, good content, good resources, Thanks

교육 기관: EDGAR H M

2020년 5월 6일

Muy buen curso aunque retador en sus trabajos de programación

교육 기관: 刘晶

2018년 10월 15일

Very good course! Thank you, Professor Igor Halperin

교육 기관: Pavel K

2018년 11월 28일

A very informative and well paced intro to ML / DL

교육 기관: Luis A

2018년 11월 15일

Excellent overview of machine learning in finance

교육 기관: Sileye B

2020년 12월 21일

I enjoyed thi introduction to ML for finance.

교육 기관: mohamed h

2019년 10월 27일

thanks coursera for this amazing course

교육 기관: Yergali B

2019년 1월 4일

Thank you, for this very useful course!

교육 기관: Daria

2020년 5월 15일

Great introduction to ML in Finance!

교육 기관: Vilimir Y

2020년 3월 2일

A great course by a great lecturer!

교육 기관: Yuning C

2018년 9월 8일

A great course with deep insight.

교육 기관: Muntu M

2020년 1월 18일

Excellent Course, Well presented

교육 기관: Sreenath P K

2020년 4월 5일

Very well taught course!

교육 기관: Jenyi L Y

2018년 9월 17일

very practical for me.

교육 기관: Yangtao W

2018년 12월 2일

very good course!!!

교육 기관: WangFangpo

2019년 10월 7일

很好的课程。推荐的论文很值得一读。

교육 기관: Ezequiel A G

2018년 8월 7일

Amazing Course!

교육 기관: LiengPhu T

2021년 1월 15일

Verry good !

교육 기관: Vinay P K

2018년 11월 20일

good content

교육 기관: hamid.zand

2018년 6월 30일

Great Course

교육 기관: Sam

2021년 10월 31일

Thank you!

교육 기관: Russell H

2018년 9월 1일

Good overview of ML in Finance, clearly based on real-world experience. Would not recommend this as a first ML course; probably more useful after first taking another more general course, such as Guestrin's UW ML specialization. Some of the quizzes and exercises seem a bit rushed; e.g., out of order vs. the lectures and not clear about what is required. It was sometimes necessary to consult the discussion forums for clarification. The most useful part may be the categorization of ML algorithms along different axes, including applicability to different areas of finance. The readings and coding exercises seem to come mostly from Geron's O'Reilly book, so plan on buying that (it's a great book, so you should buy it whether you take this course or not).

교육 기관: Benny P

2019년 12월 6일

This course has been informative, and extremely FUN! This is not to say that it's perfect, in fact as others say the assignments are quite challenging because there's little introduction to the problem/solution being asked. But that's exactly where the fun is! You need to search for the information yourself to solve the problem, much like in the real world. In fact I took another course on TensorFlow in the middle of this course to finish the assignment. But I can imagine this would be frustrating for those with less background on ML or programming, or people who expect everything to be presented smoothly for them.

교육 기관: Hashim M

2018년 12월 29일

A much needed course by a very seasoned expert in the field, bringing the right blend of backgrounds in finance and tech. The course is well designed for finance professionals with some coding background and for technology professionals with some finance background - which is unique in that sense. Some bridging between lectures and assignments is needed but that kind of fine tuning is inevitable and as more students enroll, the discussion rooms and feedback will provide that sharpening at the edges organically. All in all, I enjoyed the course a lot and look forward to the next three in the specialization!

교육 기관: gareth o

2020년 9월 24일

Lectures are very good and the use of financial examples really brings the subject alive. However the final projects are not very closely linked to the material taught, it's possible to pass if you ignore the new material. It would also be nice to update the tensorflow code from 1.0 to 2.0 as it would make things much easier to debug.