Machine Learning for Banking and Finance Professionals
Machine learning techniques have revolutionized the financial services industry by enabling the automatic extraction of features from data to solve various predictive tasks. These tasks include fraud detection and prevention, anomaly detection, investment portfolio optimization and trading, customer segmentation, credit scoring and risk assessment, compliance, and regulatory reporting. By using historical data as input, machine learning algorithms can predict future outcomes more accurately without being explicitly programmed. The demand for machine learning skills in the finance industry is high, and this course on Introduction to Machine Learning will cover the basic concepts of supervised and unsupervised learning with practical implementation using Python.