1. What is a neural network? 2. How to train the network with simple example data (1:10) 3. ANN vs Logistic regression (06:42) 4. How to evaluate the network (07:14) 5. How to use the network for prediction (09:23) 6. How to estimate the weights (10:25) 7. Understanding the hidden layers (16:30) 8. ANN vs regression (20:56) 9. How to set up and train an ANN in R (23:08)
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