eBooks E-Books Linear logistic classifier – a few comments about regularization (M-I-T) Collaborative filtering – stochastic gradient descent (M-I-T) Linear classifiers (M-I-T) Collaborative filtering – objective function (M-I-T) Learning algorithms (M-I-T) Collaborative filtering – hypothesis space (M-I-T) K-armed bandits (M-I-T) Collaborative filtering – framework (M-I-T) Introduction to reinforcement learning (M-I-T) Collaborative filtering – alternating least squares idea (M-I-T) Introduction to non-parametric models (M-I-T) Collaborative filtering – alternating least squares algorithm (M-I-T) Introduction to ML – perspective and history (M-I-T) CNNs – typical architecture (M-I-T) Introduction to ML – estimation and generalization (M-I-T) CNNs – two-dimensional filters (M-I-T) « Previous 1 … 2,347 2,348 2,349 2,350 2,351 … 4,276 Next »
