An Introduction to Machine Learning in Quantitative Finance
UCL (University College London)
  • Start Date: 23 Jan, 2023
  • 4 weeks
  • Study Content: Videos


Discover how machine learning can be used to solve financial data problems and create informative insights and predictions.

Course Fee: Free
Certificate Cost: See Fees and Eligibility

Course Description

This course is made available through the eLearnAfrica and FutureLearn partnership.

Explore the applications of machine learning for quantitative finance


Over the past few years, machine learning (ML) has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.


This four-week course from University College London will demystify machine learning by uncovering its underlying mathematics and showing how to apply ML methods to real-world financial data.


Learn to use supervised learning models such as linear regression


Supervised learning is a category of machine learning that uses algorithms to classify data and create predictions.


You’ll be provided with an overview of supervised learning, as well as linear and non-linear regression with regularisation and classification. This will enable you to learn other new supervised learning algorithms in a systematic manner.


Understand how to use deep learning for predictive analytics in finance


Huge datasets are incredibly common in the financial sector, and present a significant challenge to researchers and analysts.


On this course, you’ll familiarise yourself with neural networks and understand how deep learning can be used to analyse large datasets and create accurate financial predictions. At the end of the course, you’ll put your learning into practice by tackling an empirical financial data problem using machine learning end-to-end.


Study with the experts at University College London


Your course educators are faculty members of the financial mathematics group at the UCL and Shanghai University.


With the help of their extensive research and experience, you’ll be empowered to solve real-world financial challenges through the application of modern machine learning methods.


This course is designed for anyone interested in machine learning and quantitative finance with a basic background in probability and Python programming.


It will be of particular interest to final-year undergraduate students or MSc students in financial mathematics or related subjects, pursuing a career in quantitative finance or data science.


It will also be suited to practitioners in quantitative finance.


Python


Certificate cost may vary. You will be redirected to the host page for cost and payment options.

UCL (University College London)

UCL was founded in 1826. It was the first English university established after Oxford and Cambridge, the first to open up university education to those previously excluded from it, and the first to provide systematic teaching of law, architecture and medicine.

UCL is among the world’s top universities, as reflected by performance in a range of international rankings and tables. UCL currently has over 35,000 students from 150 countries and over 11,000 staff. UCL’s annual income is more than £1 billion.

 

This institution is available on eLearnAfrica through partnership with FutureLearn.

You may be able to download course materials after enrolling in this course. If not, all of the necessary course materials provided by the course instructor will be available on the provider's course page.
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