Description
About the Author
Gavin Brown is Professor of Machine Learning, and Director of Research for the Department of Computer Science, at the University of Manchester, UK. He obtained his PhD in 2004 from the University of Birmingham, winning the British Computer Society Distinguished Dissertation Award, given annually for the most outstanding UK thesis in Computer Science. In 2005 he joined Manchester, and since then has built a team working on Machine Learning and Data Science, contributing both fundamental and applied research, funded by the UK and EU government as well as industry sponsors
Reviews
One of the aspects of this book, besides the content, that makes it so captivating is simply the writing style. The book is written so that reading it is easy, the ideas digestible. In the chapter on how to write, Brown shares his secret to writing so engagingly ... What I took away from reading this book, though, was just how universal the experiences of graduate students are. From wallowing in feelings of inadequacy to the exhilarating sensation of figuring out something that nobody has ever figured out before, Brown captures the essence of what most graduate students experience. He arms grad students (and potential grad students!) with information that will make their journey a bit easier, regardless of what field they're in. * Allison Henrich, College Mathematics Journal *
captivating ... What I took away from reading this book, though, was just how universal the experiences of graduate students are. From wallowing in feelings of inadequacy to the exhilarating sensation of figuring out something that nobody has ever figured out before, Brown captures the essence of what most graduate students experience. He arms grad students (and potential grad students!) with information that will make their journey a bit easier, regardless of what field they're in. * Allison Henrich, The College Mathematics Journal *
Book Information
ISBN 9780198866923
Author Gavin Brown
Format Paperback
Page Count 272
Imprint Oxford University Press
Publisher Oxford University Press
Dimensions(mm) 195mm * 130mm * 13mm