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  1. Sir David John Cameron MacKay FRS FInstP FICE (22 April 1967 – 14 April 2016) was a British physicist, mathematician, and academic. He was the Regius Professor of Engineering [12] in the Department of Engineering at the University of Cambridge [13] and from 2009 to 2014 was Chief Scientific Advisor to the UK Department of Energy and Climate ...

  2. David J.C. MacKay. Information Theory, Inference, and Learning Algorithms. Cambridge University Press, 2003. ISBN-13: 9780521642989 | ISBN-10: 0521642981. How does it compare with Harry Potter? for teachers: all the figures available for download (as well as the whole book ). David J.C. MacKay. Site last modified Sun Aug 31 18:51:08 BST 2014.

  3. Cavendish Laboratory , University of Cambridge. Recent news. October 2015 - a new Comment in Nature about how to redesign the climate negotiations, using the science of cooperation Nature Vol 526 Page 315-316.

  4. May 25, 2016 · Having received a groundswell of acclaim for this accessible and unflinching treatise, David gained the attention of political decision-makers and was appointed Chief Scientific Adviser of the ...

  5. David MacKay received the PhD degree in 1992 from Caltech as a Fulbright Scholar, where his supervisor was John Hopfield. He was chief scientific adviser to the United Kingdom Department of Energy and Climate Change (DECC) from 2009 to 2014.

  6. Prof Sir David Mackay FRS Regius Professor of Engineering Fellow of Darwin College Visitor. Office: 506 Mott Bld Phone: +44(0)1223 3 37476 Personal web site. TCM Group, Cavendish Laboratory 19 JJ Thomson Avenue, Cambridge, CB3 0HE UK.

  7. Fresh draft. Draft 3.1415 - Jan 12 2003. Nearly finished. Draft 4.0 - April 15 2003.

  8. Sustainable Energy –. without the hot air. Buy now on paper. download pdf file for free. read translations. or browse the book using the table of contents ↓. "For anyone with influence on energy policy, whether in government, business or a campaign group, this book should be compulsory reading." Tony Juniper.

  9. Information Theory, Inference, and Learning Algorithms David J.C. MacKay. Contents. Preface. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v. 1. Introduction to Information Theory. . . . . . . . . . . . . . 3. 2. Probability, Entropy, and Inference . . . . . . . . . . . . . . 22.

  10. Written by David MacKay, who was an esteemed Professor of Engineering at the University of Cambridge and Chief Scientific Advisor to the UK Department of Climate Change, this is an uplifting,...