AI and Machine Learning in Finance

Description

Banks and investment firms use machine learning for tasks such as fraud checks and credit scoring. These ten PDF lessons explain the basics of AI and machine learning for finance and where financial data comes from.

You then meet the core algorithms used in finance and see how a stock price prediction model is built. Other lessons cover fraud detection, customer segmentation and credit risk, algorithmic trading and portfolio management, and risk and regulatory compliance. The last lessons review real case studies and future trends and careers in AI finance.

Who it is for: beginners curious about how AI and machine learning are used in banking and investing.

What’s included
10 PDF lessons · 54 pages · about 18,500 words
One ZIP download that is yours to keep — read on any device, no subscription or app needed.

Course programme

1. Understanding AI and Machine Learning Basics for Finance
2. Where Financial Data Comes From
3. Core Machine Learning Algorithms Used in Finance
4. Building Your First Stock Price Prediction Model
5. Fraud Detection Systems for Banking and Payments
6. Customer Segmentation and Credit Risk Assessment
7. Algorithmic Trading and Portfolio Management
8. Risk Management and Regulatory Compliance
9. Real-World Case Studies from Major Financial Institutions
10. Future Trends and Career Opportunities in AI Finance