eBooks E-Books Example of perceptron algorithm with polynomial basis transformations (M-I-T) Classification trees – impurity measures – entropy (M-I-T) Comparing with z-scores (K-A) Evaluating predictions – loss functions (M-I-T) Classification trees (M-I-T) Evaluating learning algorithms – validation (M-I-T) Building a tree – pruning (M-I-T) Evaluating hypotheses – training set error (M-I-T) Building a tree – minimum error splits (M-I-T) Demo example – RNNs (M-I-T) Building a tree – greedy algorithm (M-I-T) Cumulative relative frequency graph problem (K-A) Back-propagation through time – weight updates (M-I-T) Calculating percentile (K-A) Back-propagation through time – forward pass (M-I-T) Analyzing a cumulative relative frequency graph (K-A) « Previous 1 … 2,349 2,350 2,351 2,352 2,353 … 4,276 Next »
