Course Outline
Machine Learning Fundamentals in Finance
- An overview of AI and ML applications within the financial sector
- Different modes of machine learning (supervised, unsupervised, reinforcement)
- Real-world examples focusing on fraud detection, credit scoring, and risk modeling
Python and Data Management Essentials
- 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 methods
- Decision trees and random forest algorithms
- Assessing model performance through accuracy, precision, recall, and AUC
Unsupervised Learning and Identifying Anomalies
- Clustering methodologies such as K-means and DBSCAN
- Principal Component Analysis (PCA)
- Detecting outliers to prevent fraud
Credit Scoring and Risk Modelling
- Developing credit scoring models using logistic regression and tree-based methods
- Managing imbalanced datasets in risk-related scenarios
- Ensuring model interpretability and fairness in financial decision-making
Leveraging Machine Learning for Fraud Detection
- Common forms of financial fraud
- Applying classification algorithms for anomaly identification
- Strategies for real-time scoring and deployment
Deploying Models and AI Ethics in Finance
- Deploying models via Python, Flask, or cloud-based platforms
- Ethical implications and regulatory adherence (including GDPR and explainability)
- Monitoring and retraining models within production environments
Conclusion and Future Directions
Requirements
- A foundational understanding of basic statistics and financial principles
- Familiarity with Excel or other data analysis software
- Entry-level programming knowledge, 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
