Already down on his luck, Claudio Chillwell has a day that goes from bad to worse – he dies on his way to a job interview. A chatty grim reaper named Gee feels horrible about the embarrassing way that Claudio slipped off this mortal coil and decides to give him a second chance at living.
However, the Dead Council frowns upon necromancy, and there are consequences for those who contravene the rules. Gee ends up on the run and seeks sanctuary at Claudio's home. The suits are having none of it, though, and track down Gee and his new human friends, promising to torment them with hellhounds, soap operas, and bad haircuts.
Will Claudio and Gee survive the bureaucracy and live to tell the tale?
WARNING: This book combines the outrageous quirk of Deadpool with the adventure of Bill & Ted. Your stomach may hurt afterwards.
If you're a web developer building sophisticated, user-friendly applications, you should be using Prototype. This reference gives you everything you need to use Prototype to its fullest.
This document covers Prototype 1.4. There will be a free upgrade to the Prototype 1.5 version of this document.
“Good Omens . . . is something like what would have happened if Thomas Pynchon, Tom Robbins and Don DeLillo had collaborated. Lots of literary inventiveness in the plotting and chunks of very good writing and characterization. It’s a wow. It would make one hell of a movie. Or a heavenly one. Take your pick.”—Washington Post
According to The Nice and Accurate Prophecies of Agnes Nutter, Witch (the world's only completely accurate book of prophecies, written in 1655, before she exploded), the world will end on a Saturday. Next Saturday, in fact. Just before dinner.
So the armies of Good and Evil are amassing, Atlantis is rising, frogs are falling, tempers are flaring. Everything appears to be going according to Divine Plan. Except a somewhat fussy angel and a fast-living demon—both of whom have lived amongst Earth's mortals since The Beginning and have grown rather fond of the lifestyle—are not actually looking forward to the coming Rapture.
And someone seems to have misplaced the Antichrist . . .
The 4 full MLCN papers, the 6 full DLF papers, and the 6 full iMIMIC papers included in this volume were carefully reviewed and selected. The MLCN contributions develop state-of-the-art machine learning methods such as spatio-temporal Gaussian process analysis, stochastic variational inference, and deep learning for applications in Alzheimer's disease diagnosis and multi-site neuroimaging data analysis; the DLF papers evaluate the strengths and weaknesses of DL and identify the main challenges in the current state of the art and future directions; the iMIMIC papers cover a large range of topics in the field of interpretability of machine learning in the context of medical image analysis.