-
Course
- AI
- Data
Machine Learning for Financial Services
This course will explore the conceptual aspects of applying machine learning to problems in the financial services industry and discuss case studies of machine learning used in financial services.
What you'll learn
Analytical and statistical models are already an integral part of the finance industry and the use of machine learning builds on a strong foundation in this industry. The financial services industry is uniquely positioned to leverage machine learning because of the vast quantities of high-quality data already available.
In this course, Machine Learning for Financial Services, you will explore machine learning techniques currently applied in the financial services industry. First, you will look at some examples and cases of where ML is already being used in financial services - for investment predictions, loan automation, process automation, and fraud detection. Then, you will develop an intuitive understanding of how recurrent neural networks
Next, you will explore two ML case studies from research papers - the first focusing on assessing and quantifying the return on investment and the second exploring how classification and clustering models can help detect money laundering.
Finally, you will get hands-on coding and see how you can use a classification model for fraud detection on a synthetically generated dataset.
When you are finished with this course, you will have the awareness of how machine learning can be applied in the financial services industry and hands-on experience working with financial data.
Table of contents
- Version Check | 15s
- Prerequisites and Course Outline | 1m 51s
- Data and Analytics Trends in Finance | 6m 4s
- Use Cases of ML in Finance: Investment Predictions | 4m 36s
- Use Cases of ML in Finance: Loan Automation | 3m 2s
- Use Cases of ML in Finance: Process Automation | 3m 57s
- Use Cases of ML in Finance: Robo Advisors | 2m 54s
- Use Cases of ML in Finance: Fraud Detection | 2m 52s
- Recurrent Neural Networks for Financial Data | 6m 42s
- Challenges of ML in Finance | 6m 13s
About the author
A problem solver at heart, Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework.
More Courses by Janani