Though Chayka focuses on the effects algorithms have on culture, his book is perhaps most acute in its consideration of algorithms’ effects on individuals—namely, the way the internet is ...

From analyzing a book's prospects to figuring out what subjects people are clamoring for, data is bigger in publishing than ever. But how much is too much?

Based on a course taught at Princeton University over the past 15 years, this book guides readers from first principles to implementable algorithms. The intensive, code-centric approach adopted in ...

Algorithm design and analysis is fundamental to all areas of computer science and gives a rigorous framework for the study optimization. This course provides an introduction to algorithm design ...

An algorithm is presented for filling in least squares estimates of m missing values in any analysis of variance design. The method is non-iterative and requires only those subroutines already in use ...