Course Outline
Foundations of Machine Learning in Finance
- Role of AI and ML within the financial sector
- Classifications of machine learning (supervised, unsupervised, reinforcement)
- Practical examples involving fraud identification, credit assessment, and risk modeling
Python Fundamentals and Data Management
- Leveraging Python for data processing and examination
- Analyzing financial data sets via Pandas and NumPy
- Visualizing data through Matplotlib and Seaborn
Supervised Learning for Financial Forecasting
- Linear and logistic regression models
- Decision trees and random forest algorithms
- Assessing model efficacy (accuracy, precision, recall, AUC)
Unsupervised Learning and Anomaly Identification
- Clustering methods (K-means, DBSCAN)
- Principal Component Analysis (PCA)
- Detecting outliers to mitigate fraud
Credit Assessment and Risk Modeling
- Creating credit scoring models with logistic regression and tree-based methods
- Managing imbalanced data sets in risk scenarios
- Ensuring model transparency and equity in financial judgments
Fraud Prevention Using Machine Learning
- Prevalent forms of financial fraud
- Applying classification algorithms for anomaly detection
- Strategies for real-time scoring and deployment
Model Deployment and Ethical AI in Finance
- Deploying models via Python, Flask, or cloud services
- Ethical implications and regulatory adherence (e.g., GDPR, model explainability)
- Monitoring and refining models in live environments
Recap and Future Directions
Requirements
- Familiarity with fundamental statistics and financial principles
- Proficiency in Excel or comparable data analysis platforms
- Foundational programming skills, ideally with Python
Target Audience
- Financial analysts
- Actuaries
- Risk managers
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
