This text provides a modern introduction to regression and classification with an emphasis on big data and R. The main body uses math stat sparingly and always in the context of something concrete; readers can skip the math stat content entirely if they wish.
This text is designed for a one-semester junior/senior/graduate-level calculus-based course on probability and statistics, aimed specifically at... Læs mere
This is one of the first parallel computing books to focus exclusively on parallel data structures, algorithms, software tools, and... Læs mere
This text is designed for a one-semester junior/senior/graduate-level calculus-based course on probability and statistics, aimed specifically at... Læs mere
This text provides a modern introduction to regression and classification with an emphasis on big data and R. The main body uses math stat sparingly and always in the context of something concrete; readers can skip the math stat content entirely if they wish.