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AI in Retail Finance
1. Introduction
1.0 What Will This Course Cover?
1.1 What is AI?
1.2 AI in Finance - Practical Applications
1.3 Case Study - Fidelity International
1.4 Getting Started
1.5 Working In The Sandbox
1.6 Build a Fraud Detector
1.7 Checkpoint
1.8 Discussion Points
2. Machine Learning - 1st Steps
2.0 Regression
2.1 Classification with SVC
2.2 Credit Scoring with SVC
2.3 Pricing with SVC
2.4 Classifying Images
2.5 Classifying Words
2.6. Case Study - How Does Google and Facebook Use AI?
2.7 Checkpoint
2.8 Discussion Points
3. Insurance
3.0 Introduction
3.1 Automotive Claims Partitioning with K-means
3.2 Finding the Number of Clusters with K-means
3.3 Identifying Customer Segments with K-means
3.4 Case Study - Amazon Forecasting with DeepAR
3.5 Checkpoint
3.6 Discussion Points
4. Investment Services
4.0 Introduction
4.1 Predicting a Rise in Interest Rates with Random Forest Classification
4.2 Predicting the Actual Interest Rate with Random Forest Regression
4.3 Predicting the Value of Tech Stocks with ARIMA
4.4 Understanding the Main Factors Driving the DAX with PCA
4.5 Neural Networks - 1st Steps
4.6 Case Study - How Does UBER Scale?
4.7 Checkpoint
4.8 Discussion Points
5. Conclusion
5.0 What Did You Learn?
4.4 Understanding the Main Factors Driving the DAX with PCA
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