Course Outline
Foundations of Machine Learning in Finance
- Overview of AI and ML applications within the financial industry
- Classification of machine learning approaches (supervised, unsupervised, reinforcement learning)
- Case studies covering fraud detection, credit scoring, and risk modeling
Python Fundamentals and Data Processing
- Leveraging Python for data manipulation and analysis
- Analyzing financial datasets using Pandas and NumPy
- Visualizing data with Matplotlib and Seaborn
Supervised Learning for Financial Forecasting
- Linear and logistic regression techniques
- Decision trees and random forest algorithms
- Assessing model efficacy through accuracy, precision, recall, and AUC metrics
Unsupervised Learning and Anomaly Identification
- Clustering methods such as K-means and DBSCAN
- Application of Principal Component Analysis (PCA)
- Detecting outliers for enhanced fraud prevention
Credit Scoring and Risk Assessment Modeling
- Constructing credit scoring models via logistic regression and tree-based methods
- Managing imbalanced datasets in risk-focused applications
- Ensuring model interpretability and fairness in financial decisions
Machine Learning for Fraud Detection
- Identifying common categories of financial fraud
- Applying classification algorithms for anomaly detection
- Strategies for real-time scoring and deployment
Model Deployment and Ethical Considerations in Financial AI
- Deploying models via Python, Flask, or cloud-based services
- Addressing ethical implications and regulatory adherence (e.g., GDPR, explainability)
- Monitoring and retraining models in production environments
Recap and Future Directions
Requirements
- Familiarity with fundamental statistics and financial principles
- Proficiency with Excel or similar data analysis platforms
- Foundational programming skills, with a preference for 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
