Understanding Machine Learning for Stock Price Prediction

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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
 
NEURAL NETS AND GRADIENT DESCENT
 
LSTMS
 
DECISION TREES
 
ENSEMBLE LEARNING AND GRADIENT BOOSTING
 
RESULTS
 
WHAT MORE?
 
Serve one master
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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.


Uploaded on Jul 02, 2024 | 2 Views


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  1. MACHINE LEARNING IN STOCK PRICE PREDICTION CARL CEDERBORG FACULTY MENTOR: DR. CARLOS ARIAS HONORS PROGRAM DIRECTOR: DR. CHRISTINE CHANEY

  2. WHAT IS MACHINE LEARNING? Algorithm that learns from data Minimize a Cost Function Supervised/Unsupervised/Semi-supervised/Reinforcement Learning Classification/Regression

  3. NEURAL NETS AND GRADIENT DESCENT

  4. LSTMS

  5. DECISION TREES

  6. ENSEMBLE LEARNING AND GRADIENT BOOSTING

  7. RESULTS

  8. WHAT MORE? Serve one master

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