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学生对 EDHEC Business School 提供的 Python and Machine Learning for Asset Management 的评价和反馈

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330 个评分

课程概述

This course will enable you mastering machine-learning approaches in the area of investment management. It has been designed by two thought leaders in their field, Lionel Martellini from EDHEC-Risk Institute and John Mulvey from Princeton University. Starting from the basics, they will help you build practical skills to understand data science so you can make the best portfolio decisions. The course will start with an introduction to the fundamentals of machine learning, followed by an in-depth discussion of the application of these techniques to portfolio management decisions, including the design of more robust factor models, the construction of portfolios with improved diversification benefits, and the implementation of more efficient risk management models. We have designed a 3-step learning process: first, we will introduce a meaningful investment problem and see how this problem can be addressed using statistical techniques. Then, we will see how this new insight from Machine learning can complete and improve the relevance of the analysis. You will have the opportunity to capitalize on videos and recommended readings to level up your financial expertise, and to use the quizzes and Jupiter notebooks to ensure grasp of concept. At the end of this course, you will master the various machine learning techniques in investment management....

热门审阅

ST

Apr 9, 2020

The topics covered in this course are really interesting. I learned a great deal by studying various papers covered in this course - Thank you to both instructors!

AR

May 11, 2022

Very nice course sharing many types of knowledges around data / cleaning / type of data / several algorithms / organised Python coding

筛选依据：

126 - Python and Machine Learning for Asset Management 的 138 个评论（共 138 个）

创建者 Chan C

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Nov 23, 2020

Disappointed with the quality of this course. No depth in using Machine Learning for Asset Management. Lesson and lab sessions are poorly put together. No quality control. Waste of time and money.

创建者 Chen Z

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May 25, 2020

Very bad course for machine learning application part. Feel like I've learned nothing. The lab session has no explanation for the details of ML techinques.

创建者 Jeremy P

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Mar 25, 2021

Very low explanation of function and code although the lab part is the most interesting and most important in my view. MOOC1 and 2 were better on this.

创建者 Kenneth N

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Jul 13, 2022

Very bad teaching. Materials are not well thought out and explained. simple concepts were made to look very complicated. Dont take this course

创建者 Behrad B

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Nov 17, 2020

If you just want to hear some machine learning jargon, you'll find this course useful. But, don't expect to "learn" anything.

创建者 Kushagra S

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Aug 11, 2021

The course is not well made. It is like many pieces just put together no coherence. Not a very useful course.

创建者 michelangelo d

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Feb 19, 2020

1) poor explanations, few examples, bad audio quality... I was about to give up because of this 3rd course...

创建者 Alessandro F

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Jan 30, 2020

Worst course in the all specialization! Bad lectures, and absolutely bad grading system.

Very disappointed!

创建者 PRANAV K

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Nov 30, 2020

Quiz section is totally incoherent with lectures provided. Sorry!!

创建者 Denis P

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Jan 3, 2020

Very bad. Previous 2 courses was amazing, but this is a strange.

创建者 Florea G A

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Oct 14, 2024

Information not usable in a day-to-day portfolio management

创建者 Klaus M

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Apr 16, 2020

This course is real true bull shit!

创建者 Bhranti T

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Sep 18, 2020

i didnt like it...