Molecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The book is devoted to teaching the statistical and computational
Computational Statistics and Machine Learning: A Sparse Approach focuses on using sparse algorithms in statistics and machine learning. The first part addresses the L_0 norm minimization using greedy
A variety of problems in machine learning and digital communication deal with complexbut structured natural or artificial systems. In this book, Brendan Frey uses graphical models as anoverarching fra
