UCL University - An Introduction to Machine Learning in Quantitative Finance
- Offered byFutureLearn
An Introduction to Machine Learning in Quantitative Finance at FutureLearn Overview
An Introduction to Machine Learning in Quantitative Finance
at FutureLearn
Discover how machine learning can be used to solve financial data problems and create informative insights and predictions.
Duration | 4 weeks |
Total fee | ₹27,884 |
Mode of learning | Online |
Credential | Certificate |
An Introduction to Machine Learning in Quantitative Finance at FutureLearn Highlights
An Introduction to Machine Learning in Quantitative Finance
at FutureLearn
- Earn your certificate from UCL (University College London
Your course educators are faculty members of the financial mathematics group at the UCL and Shanghai University
An Introduction to Machine Learning in Quantitative Finance at FutureLearn Course details
An Introduction to Machine Learning in Quantitative Finance
at FutureLearn
Skills you will learn
More about this course
- 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
- Supervised learning is a category of machine learning that uses algorithms to classify data and create predictions
- Learners will be provided with an overview of supervised learning, as well as linear and non-linear regression with regularisation and classification
- This will enable learner to learn other new supervised learning algorithms in a systematic manner
- Huge datasets are incredibly common in the financial sector, and present a significant challenge to researchers and analysts
- On this course, learners will familiarise themselves 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, learners will put their learning into practice by tackling an empirical financial data problem using machine learning end-to-end
- With the help of their extensive research and experience, learners will be empowered to solve real-world financial challenges through the application of modern machine learning methods
An Introduction to Machine Learning in Quantitative Finance at FutureLearn Curriculum
An Introduction to Machine Learning in Quantitative Finance
at FutureLearn
Introduction to the course
Welcome to the course
What is Machine Learning?
Quantitative Finance
Next generation of talents in Quantitative Finance
End of Week 1
Supervised Learning in financial applications
Welcome to Week 2
Linear Regression
Regularization
Classification
End of Week 2
Learning derivative pricing via Deep Neural Networks
Introduction to Week 3
Deep Neural Networks (DNNs)
Training DNNs
Applications of DNNs to derivative pricing
End of Week 3
Limit order book prediction via Recurrent Neural Networks
Introduction to Week 4
Recurrent Neural Networks
Limit order book prediction
End and next step
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