Understanding Machine Learning for Stock Price Prediction
Explore the world of machine learning in stock price prediction, covering algorithms, neural networks, LSTM techniques, decision trees, ensemble learning, gradient boosting, and insightful results. Discover how machine learning minimizes cost functions and supports various learning paradigms for classification and regression tasks.
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Presentation Transcript
MACHINE LEARNING IN STOCK PRICE PREDICTION CARL CEDERBORG FACULTY MENTOR: DR. CARLOS ARIAS HONORS PROGRAM DIRECTOR: DR. CHRISTINE CHANEY
WHAT IS MACHINE LEARNING? Algorithm that learns from data Minimize a Cost Function Supervised/Unsupervised/Semi-supervised/Reinforcement Learning Classification/Regression
WHAT MORE? Serve one master
