Bokep Indo Tante Di Gilir

Massaging Himmler

Set in Nazi Germany, Massaging Himmler tells in verse the remarkable story of a little-known humanitarian, Dr Felix Kersten. Kersten was a Finnish-born therapeutic masseur who found himself at the centre of the Nazi web, treating Reichsführer Heinrich Himmler (head of the SS and the Gestapo) for stomach cramps, which sometimes rendered him unconscious, and which no other practitioner could relieve. Dr Kersten massaged Himmler daily during the war, sometimes in multiple treatments. He took no fee for his services to the Reichsführer, but used his influence to secure the release of tens of thousands of prisoners. Accused of collaboration at the end of the war, he worked tirelessly to clear his name, and received high honours from several European countries. Told in compelling language, from multiple points of view, this is an important addition to Holocaust literature. Dr Kersten's story shows how one man, flawed like the rest of us, was able to make a difference. "...Carson's poems race ahead of the reader, like stampeding horses, the furious pace mirroring the horror of their context. Art Spiegelman's graphic novel, Maus, pushed the boundaries of Holocaust literature, and I believe Massaging Himmler: A Poetic Biography of Dr Felix Kersten, is in that class." - Adele Hulse, Coordinator, Write Your Story program, Makor Publishing, Lamm Jewish Library of Australia.

The Kama Sutra of Vatsyayana

Information Theory, Inference and Learning Algorithms

Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.