learn.kkinn.com - /Courses/ML/Machine Learning Pedro Domingos/04 Instance-Based Learning/

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 2/25/2023  8:24 PM    158437971 1.  The K-Nearest Neighbor Algorithm.mp4
 2/25/2023  8:28 PM     38842723 10  Case-Based Reasoning.mp4
 2/25/2023  8:29 PM     27647248 11.  Lazy vs.  Eager Learning.mp4
 2/25/2023  8:29 PM    156035524 12.  Collaborative Filtering.mp4
 2/25/2023  8:25 PM    102877082 2.  Theoretical Guarantees on k-NN.mp4
 2/25/2023  8:26 PM    134542852 4.  The Curse of Dimensionality.mp4
 2/25/2023  8:27 PM    101377982 5.  Feature Selection and Weighting.mp4
 2/25/2023  8:27 PM     99266507 6.  Reducing the Computational Cost of k-NN.mp4
 2/25/2023  8:28 PM     55168316 7.  Avoiding Overfitting in k-NN.mp4
 2/25/2023  8:28 PM     40415183 8.  Locally Weighted Regression.mp4
 2/25/2023  8:28 PM     33184737 9.  Radial Basis Function Networks.mp4