Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.

About the course This expert-led learning event will equip participants with the practical skills and knowledge to effectively use Python in a variety of financial risk settings. Participants will ...

Financial institutions such as banks and insurance companies face multiple risk factors, whether operational, credit or market-related. Managing them is key to maintaining their overall stability — ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

This course provides the skills needed to examine and apply modern statistical and machine learning methods to significant real-world computational issues in finance, risk management, and insurance.

This paper describes recent work to strengthen nowcasting capacity at the IMF’s European department. It motivates and compiles datasets of standard and nontraditional variables, such as Google search ...

Microsoft's two new video series target beginner developers interested in using Python for machine-learning programs.

While Ronacher contributes little to Flask today – because new Python features for data science don't interest him – it's become popular for deploying machine-learning models thanks to an ...

Machine learning uses algorithms to find patterns in large datasets and make predictions based on them. This course will use prominent examples from social science research to cover major machine ...