A is for...Awards. The Big Bang Theory has been showered with awards for being the smartest and funniest TV sitcom around. B is for...Barenaked Ladies. Read all about the band that performed the show's famous theme song, 'The History of Everything'. C is for...Caltech. Find out more about the world-famous university where our favourite four Big Bang characters work.This is the must-have guide for all fans of The Big Bang Theory.

The show hasreceived the People's Choice Award for favorite comedy and, forJim Parsons, an Emmy and a Golden Globe. Here's the full story on the sciencey sitcom.A is for awards "The Big Bang Theory" has been showered with awards for being the smartest and funniest TV sitcom around. B is for Barenaked Ladies read all about the band that performed the show's famous theme song, "The History of Everything." C is for Caltech find out more about the world-famous university where our favorite four "Big Bang" characters work. From special guests like Katee Sackhoff and River Glau, to predecessorshows like "Beauty and the Geek" and "The IT Crowd," it's all here."

This coffee table book delves into the characters on the hit show, The Big Bang Theory. Enjoy the book as you get to know the characters! Put it on your coffee table today!

Our Universe is amazing. We are lucky to be alive with intelligence. Our survival had the slightest chance in the Universe and it happened. From big bang to black holes, I have stripped some topics which will excite, help and amaze you. This book is for people who love to explore, curious and those who love themselves. People like you who are AWESOME.

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.

"What corporations fear most are consumers who ask questions. Naomi Klein offers us the arguments with which to take on the superbrands." Billy Bragg from the bookjacket.

This work sets out Austin's conclusions in the field to which he directed his main efforts for at least the last ten years of his life. Starting from an exhaustive examination of his already well-known distinction between performative utterances and statements, Austin here finally abandons that distinction, replacing it with a more general theory of 'illocutionary forces' of utterances which has important bearings on a wide variety of philosophicalproblems.