Course Outline
Machine Learning Foundations in Finance
- AI and ML applications within the financial industry
- Categorization of machine learning methods (supervised, unsupervised, reinforcement)
- Real-world case studies covering fraud, credit, and risk modeling
Python Essentials for Data Management
- Data manipulation and analysis techniques in Python
- Analyzing financial datasets using Pandas and NumPy
- Visualizing data with Matplotlib and Seaborn
Supervised Learning for Financial Forecasting
- Linear and logistic regression models
- Decision trees and random forest algorithms
- Measuring model efficacy through accuracy, precision, recall, and AUC
Unsupervised Learning & Anomaly Identification
- Clustering methods (K-means, DBSCAN)
- Dimensionality reduction via Principal Component Analysis (PCA)
- Identifying outliers to prevent fraud
Credit Evaluation & Risk Simulation
- Creating credit scoring models with logistic regression and tree-based techniques
- Managing imbalanced data in risk scenarios
- Ensuring model transparency and equity in financial choices
AI-Driven Fraud Prevention
- Identification of common financial fraud patterns
- Applying classification algorithms for detecting anomalies
- Strategies for real-time scoring and model deployment
Model Implementation & AI Ethics in Finance
- Deploying models via Python, Flask, or cloud infrastructure
- Navigating ethical standards and regulatory requirements (e.g., GDPR, model explainability)
- Maintaining and updating models in live production settings
Recap and Future Directions
Requirements
- Foundational knowledge of statistics and financial principles
- Familiarity with Excel or similar data analysis platforms
- Entry-level programming skills, ideally in Python
Target Audience
- Financial analysts
- Actuaries
- Risk management specialists
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
