Course Outline
Fundamentals of Machine Learning in Finance
- The role of AI and ML in the financial sector
- Categories of machine learning (supervised, unsupervised, reinforcement)
- Practical examples in fraud detection, credit scoring, and risk modeling
Python Essentials and Data Management
- Leveraging Python for data processing and analysis
- Analyzing financial data with Pandas and NumPy
- Visualizing data using Matplotlib and Seaborn
Supervised Learning for Financial Forecasting
- Linear and logistic regression techniques
- Decision trees and random forest algorithms
- Assessing model efficacy (accuracy, precision, recall, AUC)
Unsupervised Learning and Anomaly Identification
- Clustering methods (K-means, DBSCAN)
- Applying Principal Component Analysis (PCA)
- Detecting outliers to prevent fraud
Credit Scoring and Risk Modeling Strategies
- Developing credit scoring models via logistic regression and tree-based methods
- Managing imbalanced datasets in risk contexts
- Ensuring model interpretability and fairness in financial decisions
Machine Learning Applications in Fraud Detection
- Common forms of financial fraud
- Employing classification algorithms for anomaly detection
- Strategies for real-time scoring and deployment
Model Deployment and Ethical AI in Finance
- Deploying models using Python, Flask, or cloud services
- Addressing ethical concerns and regulatory requirements (e.g., GDPR, explainability)
- Monitoring and retraining models in production settings
Recap and Future Directions
Requirements
- Proficiency in basic statistics and financial principles
- Familiarity with Excel or similar data analysis tools
- Foundational 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
