FAQ: Factor Machine Learning Course

How to take this course?

The course consists entirely of pre-recorded videos hosted on Lizhi Micro-Class.

Course materials are provided as Jupyter Notebooks, hosted on our dedicated servers. Upon purchasing the course, we will assign you an account and create a personalized computing environment. Within this environment, you can read and run the provided Notebooks, as well as create your own. Each student enjoys an isolated runtime environment; your Notebooks are not visible to others.

To purchase, please click the link.

How long does it take to complete this course?

The duration depends primarily on your own schedule. If you complete one lesson per day, you should be able to finish the course within three weeks.

Video lectures are available for free viewing indefinitely. The dedicated course server is reserved for six months; after this period, you can still log in for up to two years, but you will be moved to a shared server. The course server is intended solely for learning purposes and cannot be used as a general-purpose cloud server.

Who is this course for / What are the prerequisites?

Please refer to the prerequisites outlined in the [Course Introduction](/articles/course/factor-ml/intro/).

Do you provide a learning environment?

Yes. We provide a server cluster comprising 192 CPU cores and 256 GB of RAM for students. By logging in via a browser, you can learn online and run our example code. The environment includes daily market data specifically prepared for factor analysis. For other data sources, students can use their high-tier Tushare accounts to access additional datasets.

What are the advantages of your learning environment? Can I set up my own?

Our course examples use specialized data interfaces. To set up a local environment, you would need to modify these interfaces to provide your own data. These interfaces are straightforward, and detailed tutorials are available.

Can I download the course data for local use?

The data used in the course environment is **purchased** from third parties. Under our agreement, we are prohibited from distributing or reselling it. Therefore, we cannot guarantee the availability of data downloads.

I want to learn more about the course.

We offer a preview environment containing selected lessons (videos, Notebooks, and exercises). Please add our teaching assistant on WeChat (ID: quantfans_99) to obtain the access link.