STOCK TRADING via A.I. & MACHINE LEARNING WORKSHOP
Saturday, February 9 and 16, 2019 | 9:30 a.m. to 1:30 p.m.
Columbia University Low Library Faculty Room
New York, NY 10027
Introduction to A.I.
How to apply time series data to machine learning framework?
Hands-on project: Generating S&P 500 forecasts with a RF and RNN-LSTM in Tensorflow
Review the RF and RNN for the prediction of outcomes
Prediction result comparison with ARIMA model and their implication
Hands-on project: ARIMA and RNN-LSTM trade idea and risk assessment
Jupyter Notebook Interactive Coding
Random Forest, TensorFlow, Keras with Python