Course Outline
Foundational Machine Learning in Finance
- An overview of AI and ML applications within the financial industry
- Classifications of machine learning (supervised, unsupervised, and reinforcement learning)
- Case studies covering fraud detection, credit scoring, and risk modeling
Python Fundamentals and Data Processing
- Leveraging Python for data manipulation and analytical tasks
- Analyzing financial datasets with Pandas and NumPy
- Creating data visualizations using Matplotlib and Seaborn
Supervised Learning for Financial Forecasting
- Linear and logistic regression models
- Decision trees and random forest algorithms
- Assessing model efficacy via accuracy, precision, recall, and AUC metrics
Unsupervised Learning and Anomaly Identification
- Clustering methods such as K-means and DBSCAN
- Principal Component Analysis (PCA)
- Detecting outliers to prevent fraud
Credit Scoring and Risk Assessment Modeling
- Developing credit scoring models via logistic regression and tree-based algorithms
- Managing imbalanced datasets in risk-focused applications
- Ensuring model interpretability and fairness in financial decisions
Applying Machine Learning to Fraud Detection
- Common patterns of financial fraud
- Employing classification algorithms for anomaly detection
- Strategies for real-time scoring and model deployment
Model Deployment and Ethics in Financial AI
- Deploying models via Python, Flask, or cloud infrastructure
- Addressing ethical issues and regulatory adherence (e.g., GDPR, explainability)
- Monitoring and retraining models within production systems
Recap and Future Directions
Requirements
- A foundational grasp of basic statistics and financial principles
- Familiarity with Excel or comparable data analysis software
- Fundamental 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
