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Python and Machine Learning for Asset Management に戻る

EDHEC ビジネススクール(EDHEC Business School) による Python and Machine Learning for Asset Management の受講者のレビューおよびフィードバック



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....



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!


Excellent course, very helpful for my research work


Python and Machine Learning for Asset Management : 101 - 112 / 112 レビュー

by Luke M


very hard to follow the lab. The material is soooo jumpy logically. It start with intro python in the first slide and jump to complicated functions in the later slides. It never walk novices through the steps.

by Chan C


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.

by Chen Z


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.

by Jeremy P


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.

by Mojtaba B


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

by Kushagra S


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

by Michelangelo D


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

by Alessandro F


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

Very disappointed!



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

by Денис П


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

by Klaus M


This course is real true bull shit!

by Bhranti T


i didnt like it...