Course Outline
Introduction to Machine Learning in Finance
- The role of AI and ML in the financial industry
- Categories of machine learning (supervised, unsupervised, reinforcement learning)
- Real-world examples in fraud detection, credit scoring, and risk modeling
Python Fundamentals and Data Management
- Applying Python for data manipulation and analysis
- Investigating financial datasets using Pandas and NumPy
- Visualizing data with Matplotlib and Seaborn
Supervised Learning for Financial Forecasting
- Linear and logistic regression models
- Decision trees and random forest algorithms
- Assessing model effectiveness (accuracy, precision, recall, AUC)
Unsupervised Learning and Identifying Anomalies
- Clustering methods (K-means, DBSCAN)
- Utilizing Principal Component Analysis (PCA)
- Detecting outliers to prevent fraud
Credit Scoring and Risk Assessment Models
- Developing credit scoring models with logistic regression and tree-based algorithms
- Managing imbalanced datasets in risk-related applications
- Ensuring model interpretability and fairness in financial decisions
Machine Learning for Fraud Prevention
- Identifying common forms of financial fraud
- Applying classification algorithms for anomaly identification
- Strategies for real-time scoring and deployment
Model Deployment and Ethical AI in Finance
- Deploying models via Python, Flask, or cloud-based platforms
- Addressing ethical concerns and regulatory requirements (e.g., GDPR, explainability)
- Monitoring and retraining models in live production environments
Key Takeaways and Future Directions
Requirements
- A foundational understanding of basic statistics and financial principles
- Familiarity with Excel or other data analysis software
- Entry-level programming skills (ideally in Python)
Target Audience
- Financial analysts
- Actuaries
- Risk officers
Testimonials (5)
Possible applications /exercises
Estelle De la Fouchardiere - Advanced Bionics AG
Course - Machine Learning & AI for Finance Professionals
I really enjoyed seeing how using this tool can really improve and automate work. I also appreciated the initial part where we were helped to eliminate our prejudice against artificial intelligence. The examples are wonderful.
chiara di egidio - Advanced Bionics AG
Course - Machine Learning & AI for Finance Professionals
I liked to get knowledge about new possibilities
Maciej Karolczak - Advanced Bionics AG
Course - Machine Learning & AI for Finance Professionals
I like the examples, so we have an idea of what is possible
Deborah Highes
Course - Machine Learning & AI for Finance Professionals
it has opened my mind to new tool that can help me in creating automation
