Accompanying specific sections in this book are multimedia extras--audio and video segments recorded by the authors with additional commentary. You can play them here by clicking on the links below or you can play them in the ebook version of the book by clicking on the audio and video icons in the margins.
No. 1 Audio
Sean introduces the Mahout project and explains his involvement
No. 2 Audio
Sean discusses the work of a recommender
No. 3 Audio
Sean describes why he thinks it's possible to "listen" too closely to data
No. 4 Audio
Sean addresses questions about the implementation of the Pearson correlation
No. 5 Audio
Sean discusses the value of interpreting performance metrics
No. 6 Audio
Sean explains the relationship between Mahout and Hadoop
No. 7 Audio
Robin explains how to choose the right distance measure for a data set
No. 8 Audio
Robin expands on the apple analogy
No. 9 Audio
Robin explains the progression of KMeans clustering iterations
No. 10 Audio
Robin discusses strategies to improve clustering quality
No. 11 Audio
Robin explains how to improve performance of large-scale clustering
No. 12 Video
Ellen shows how training a model makes it progressively better
No. 13 Video
Ted and Ellen show what happens inside logistic regression
No. 14 Video
Ted compares the merits of using sequential and parallel algorithms
No. 15 Audio
Ted and Ellen discuss the AUC evaluation method
No. 16 Audio
Ted and Ellen discuss why log-likelihood means "never say never"