Course Outline
Machine Learning Foundations in Finance
- Overview of AI and ML trends within the financial industry
- Differentiation of machine learning types (supervised, unsupervised, and reinforcement learning)
- Examination of case studies involving fraud detection, credit scoring, and risk modeling
Python Essentials for Data Management
- Leveraging Python for data manipulation and analytical tasks
- Analyzing financial datasets using Pandas and NumPy
- Creating data visualizations with Matplotlib and Seaborn
Supervised Learning for Financial Forecasting
- Application of linear and logistic regression
- Implementation of decision trees and random forests
- Assessing model effectiveness through accuracy, precision, recall, and AUC
Unsupervised Learning & Anomaly Identification
- Application of clustering methods (K-means, DBSCAN)
- Utilization of Principal Component Analysis (PCA)
- Detecting outliers to prevent financial fraud
Credit Scoring & Risk Modeling Strategies
- Developing credit scoring models via logistic regression and tree-based algorithms
- Managing imbalanced datasets in risk-related contexts
- Ensuring model transparency and fairness in financial decision-making processes
Machine Learning for Fraud Prevention
- Identification of prevalent financial fraud patterns
- Application of classification algorithms for anomaly detection
- Strategies for real-time scoring and system deployment
Model Deployment & Ethics in Financial AI
- Deploying models using Python, Flask, or cloud-based platforms
- Addressing ethical implications and regulatory compliance (including GDPR and explainability standards)
- Monitoring and retraining models within production environments
Conclusion & Future Directions
Requirements
- Proficiency in foundational statistics and core financial principles
- Familiarity with Excel or similar data analysis software
- Entry-level programming skills, ideally in Python
Target Audience
- Financial analysts
- Actuaries
- Risk management 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
