' Some bright kid's got a gun & 2000 rounds of live ammo & that gun's no pea-shooter It'll go through a brick wall at a quarter of a mile' Chas Mc Gill has the second-best collection of war souvenirs in Garmouth & he desperately wants it to be the best When he stumbles across the remains of a German bomber crashed in the woods
- its shiny black machine-gun still intact
- he grabs his chance Soon he's masterminding his own war effort with dangerous & unexpected results The Machine Gunners is Robert Westall's gripping first novel for children set during World War Two & winner of the Carnegie Medal Now with a brilliant cover look celebrating its fortieth anniversary

Includes:: a bonus short story
- ' The Haunting of Chas Mc Gill'
- & an extended biography of the author





...

Tracklist Now We Die Killers & Kings Ghosts Will Haunt My Bones Night Of Long Knives Sail Into The Black Eyes Of The Dead Beneath The Silt In Comes The Flood Damage Inside Game Over Imaginal Cells Take Me Through The Fire ...

Over 17 years & eight albums heavy metal band Machine Head have sold millions of units earned a Grammy nomination & won personal awards from Metal Hammer & other magazines The story is a classic rise fall & rise again scenario -- they exploded onto the metal scene in 1994 enjoyed a successful string of albums & then lost their way in the nu-metal era Now they are in the middle of one of metal's most acclaimed comebacks Joel Mc Iver has interviewed all the b&-members several times & has a unique insight into their rollercoaster story which

Includes:: alcohol addiction inter-band brawls & therapy sackings near-splits & two decades of the heaviest music known to man delivered all over the world

...

A comprehensive introduction to machine learning that uses probabilistic models & inference as a unifying approach Today's Web-enabled deluge of electronic data calls for automated methods of data analysis Machine learning provides these developing methods that can automatically detect patterns in data & then use the uncovered patterns to predict future data This textbook offers a comprehensive & self-contained introduction to the field of machine learning based on a unified probabilistic approach The coverage combines breadth & depth offering necessary background material on such topics as probability optimization & linear algebra as well as discussion of recent developments in the field including conditional random fields L1 regularization & deep learning The book is written in an informal accessible style complete with pseudo-code for the most important algorithms All topics are copiously illustrated with color images & worked examples drawn from such application domains as biology text processing computer vision & robotics Rather than providing a cookbook of different heuristic methods the book stresses a principled model-based approach often using the language of graphical models to specify models in a concise & intuitive way Almost all the models described have been implemented in a MATLAB software package -- PMTK (probabilistic modeling toolkit) -- that is freely available online The book is suitable for upper-level undergraduates with an introductory-level college math background & beginning graduate students ...

A comprehensive introduction to machine learning that uses probabilistic models & inference as a unifying approach Today&s Web-enabled deluge of electronic data calls for automated methods of data analysis Machine learning provides these developing methods that can automatically detect patterns in data & then use the uncovered patterns to predict future data This textbook offers a comprehensive & self-contained introduction to the field of machine learning based on a unified probabilistic approach The coverage combines breadth & depth offering necessary background material on such topics as probability optimization & linear algebra as well as discussion of recent developments in the field including conditional random fields L1 regularization & deep learning The book is written in an informal accessible style complete with pseudo-code for the most important algorithms All topics are copiously illustrated with color images & worked examples drawn from such application domains as biology text processing computer vision & robotics Rather than providing a cookbook of different heuristic methods the book stresses a principled model-based approach often using the language of graphical models to specify models in a concise & intuitive way Almost all the models described have been implemented in a MATLAB software package -- PMTK (probabilistic modeling toolkit) -- that is freely available online The book is suitable for upper-level undergraduates with an introductory-level college math background & beginning graduate students ...

Now that storage & collection technologies are cheaper & more precise methods for extracting relevant information from large datasets is within the reach any experienced programmer willing to crunch data With this book you'll learn machine learning & statistics tools in a practical fashion using black-box solutions & case studies instead of a traditional math-heavy presentation By exploring each problem in this book in depth
- including both viable & hopeless approaches
- you'll learn to recognize when your situation closely matches traditional problems Then you'll discover how to apply classical statistics tools to your problem Machine Learning for Hackers is ideal for programmers from private public & academic sectors

...

A Proven Hands-On Approach for Students without a Strong Statistical Foundation Since the best-selling first edition was published there have been several prominent developments in the field of machine learning including the increasing work on the statistical interpretations of machine learning algorithms Unfortunately computer science students without a strong statistical background often find it hard to get started in this area Remedying this deficiency Machine Learning An Algorithmic Perspective Second Edition helps students understand the algorithms of machine learning It puts them on a path toward mastering the relevant mathematics & statistics as well as the necessary programming & experimentation New to the Second Edition Two new chapters on deep belief networks & Gaussian processes Reorganization of the chapters to make a more natural flow of content Revision of the support vector machine material including a simple implementation for experiments New material on random forests the perceptron convergence theorem accuracy methods & conjugate gradient optimization for the multi-layer perceptron Additional discussions of the Kalman & particle filters Improved code including better use of naming conventions in Python Suitable for both an introductory one-semester course & more advanced courses the text strongly encourages students to practice with the code Each chapter

Includes:: detailed examples along with further reading & problems All of the code used to create the examples is available on the author's website

...

We live in strange times A machine plays the strategy game Go better than any human; upstarts like Apple & Google destroy industry stalwarts such as Nokia; ideas from the crowd are repeatedly more innovative than those from corporate research laboratories Andrew Mc Afee & Erik Brynjolfsson know what it takes to master this digital-powered shift we must rethink the integration of minds & machines of products & platforms & of the core & the crowd The balance now favours the second element of the pair with massive implications for how we run our companies & live our lives Mc Afee & Brynjolfsson deliver a penetrating analysis of a new world & a toolkit for thriving in it For start-ups & established businesses or for anyone interested in the future Machine Platform Crowd is essential reading ...

Tracklist A1 Lapis A2 Morphogene A3 Angel Speak A4 Tell U B1 Surfed Out B2 Do It 4 U B3 Celestial Levels B4 Isometrix C1 Colour Communicator C2 Spectrum Sequence C3 White Crown C4 Ocean Of Thought D1 Etheric Body Temple D2 Dos Puertas D3 Opalescent Release date (30 Sept 2016) Number of Discs 2 Label Ninja Tune Genre Electronic Hip Hop Pop Style Juke Trap House Jungle Experimental ...

Tracklist A1 Trouringh 718 A2 Stofstuktoon 637 A3 Ranonkel 1 515 A4 Ranonkel 2 141 B1 Andermansthuis 436 B2 Zink 1709 ...