Jonathan Taylor – författare

A collection of short stories from contemporary writers on the pains, pleasures and horrors of drinking.Drinking stories are told by drunks, or about drunks; they are told in pubs, or set in pubs. They are stories where people drink, and stories which somehow induce a sense of drunkenness in readers and listeners. Anton Chekhov may or may not have drunkenly compared the experience of reading a short story to downing a shot of vodka, and F. Scott Fitzgerald claimed that a good short story could “be written on a bottle.” Here is a collection of contemporary short stories written on and about bottles – stories about the comedies, tragedies, pleasures, pains and horrors of alcohol – all of which can be downed like (and perhaps with) a glass of vodka.Edited with an introduction by Karen Stevens and Jonathan Taylor, contributors include some of the best short story writers in the UK today: Judith Allnatt, Jenn Ashworth, Laurie Cusack, Desmond Barry, Louis de Bernières, Jane Feaver, Cathy Galvin, Alison Moore, Kate North, Bethan Roberts, Jane Roberts, Hannah Stevens, Michael Stewart, David Swann, Melanie Whipman, and Sue Wilsea.

A collection of short stories from contemporary writers on the pains, pleasures and horrors of drinking.Drinking stories are told by drunks, or about drunks; they are told in pubs, or set in pubs. They are stories where people drink, and stories which somehow induce a sense of drunkenness in readers and listeners. Anton Chekhov may or may not have drunkenly compared the experience of reading a short story to downing a shot of vodka, and F. Scott Fitzgerald claimed that a good short story could “be written on a bottle.” Here is a collection of contemporary short stories written on and about bottles – stories about the comedies, tragedies, pleasures, pains and horrors of alcohol – all of which can be downed like (and perhaps with) a glass of vodka.Edited with an introduction by Karen Stevens and Jonathan Taylor, contributors include some of the best short story writers in the UK today: Judith Allnatt, Jenn Ashworth, Laurie Cusack, Desmond Barry, Louis de Bernières, Jane Feaver, Cathy Galvin, Alison Moore, Kate North, Bethan Roberts, Jane Roberts, Hannah Stevens, Michael Stewart, David Swann, Melanie Whipman, and Sue Wilsea.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and  astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data.

Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R(ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.