Even in Hell, love can bloom.

    Few others can offer such a remarkable insight into life at Anfield from Shankly to Houllier and beyond. Born in Liverpool in 1954, Phil later moved to his spiritual home of Kirkby where his footballing abilities were soon noticed and he quickly acquired a range of schoolboy honours before signing professional forms for his beloved Reds in 1971.As he staked a claim for a first-team place, Kop messiah Bill Shankly would memorably declare: “Aye, Phil Thompson. The boy tossed up with a sparrow for his legs and lost!”Shanks, however, was in no doubt about the young Thommo’s qualities and Phil would go on to claim a host of Anfield honours including seven League Championships, three European Cups, two League Cups and an FA Cup.The proudest moment of his footballing life came in 1981 when he led the Reds to a third European Cup with a 1-0 defeat of Real Madrid in Paris, later parading the trophy at his local pub, The Falcon.He left the Reds after winning 42 England caps before returning to Anfield in a coaching capacity under Liverpool player manager Kenny Dalglish.Despite being controversially sacked by Reds boss and former teammate Graeme Souness in 1992, he sensationally returned to Anfield as Gerard Houllier’s right-hand man in 1998, going on to revive the glory days by claiming a famous treble of trophies in 2001.Coming full circle and happy to be a fan again, he shared in the joy of the Reds’ 2005 Champions League triumph in Istanbul – as highlighted during remarkable scenes on SKY TV.

     Whether you are a rookie or an established Broker, this is the guide you need to lay the foundations for long-term success. Author Dustan Woodhouse has packed this book with dozens of tips and lessons gleaned from personal experience processing over 1,300 mortgage files and taking in over 2,000 applications verbally. You'll learn... - The old-school piece of technology that's every broker's best friend - How to have a complete application built by the time the very first phone call ends - When smart brokers decide to walk away from a file - Where to invest your marketing dollars (and where you'd just be throwing that money away) - How to trade cold-calling for warm-calling - How the "paycheque mentality" can sink your business, and what to do about it Every step, every tip, every process is aimed at building long-term relationships with clients and referral partners alike. It's all designed to get you to the holy grail of a referral-only business. Your mantra? Get the application. Here's how to do it.

    In the London office my new boss Victor tells me I shall be working in a regional office - and he wants me to drive there. I am to deliver Victor's shiny Jaguar: his pride and joy. The office is in Calcutta. This all sounds like fun to me. A month long holiday. How bad can that be I think and decide to invite my friend Douglas to come along for the ride. This will be a road trip to die for I tell him. Victor's P.A. Shirley is the all seeing eye. Nothing gets past here. I have to report in on my progress at key points on the route. Shirley is going to be watching me. 'If you so much as scratch it you're dead.' I laugh, what could possibly go wrong....? well just about everything. We were OK up till Trieste; then a goat got in the car - after that it was downhill all the way to Calcutta.

    As a top coach, Stockton has taught a long list of pro players-including Annika Sorenstam, Yani Tseng (winner of four LPGA tournaments), Adam Scott (Texas Open champion), Hunter Mahan (Phoenix Open champion), and Morgan Pressel (World Ladies Championship of Japan winner)-the putting strategies that finessed their game.Stockton's breakthrough concept is that every player has their own Signature Stroke, which is unconscious. Good putting comes from the mind, Stockton says, not from a series of stiff mechanical positions. With visualization, the right frame of mind, an efficient pre-putt routine, and connection to the individual internal stroke signature, any player can make far more putts. Putting has always been taught as an offshoot to the full swing, when in reality it is far different- almost a different game. "Unconscious Putting" will help players get out of the rigid, mechanical, overthinking trap.In "Unconscious Putting," Stockton shows how players at every handicap level-from pros to weekend golfers-can putt effortlessly and with confidence by integrating a new mental approach with a few simple physical routines that will keep them locked on target. Readers will also gain invaluable advice on reading greens and equipment. Illustrated throughout and filled with anecdotes about how Stockton's lessons have helped today's leading players, "Unconscious Putting" is a must-have golf book and a category classic-in-the-making.

    You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples--ready for immediate application to your next graph or presentation.Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to:Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data--Storytelling with Data will give you the skills and power to tell it!

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and 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 and worked examples drawn from such application domains as biology, text processing, computer vision, and 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 and 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 and beginning graduate students.

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    Understanding Computation explains theoretical computer science in a context you’ll recognize, helping you appreciate why these ideas matter and how they can inform your day-to-day programming.Rather than use mathematical notation or an unfamiliar academic programming language like Haskell or Lisp, this book uses Ruby in a reductionist manner to present formal semantics, automata theory, and functional programming with the lambda calculus. It’s ideal for programmers versed in modern languages, with little or no formal training in computer science.* Understand fundamental computing concepts, such as Turing completeness in languages* Discover how programs use dynamic semantics to communicate ideas to machines* Explore what a computer can do when reduced to its bare essentials* Learn how universal Turing machines led to today’s general-purpose computers* Perform complex calculations, using simple languages and cellular automata* Determine which programming language features are essential for computation* Examine how halting and self-referencing make some computing problems unsolvable* Analyze programs by using abstract interpretation and type systems

    Assuming a minimum of mathematical preparation, Basic Category Theory for Computer Scientists provides a straightforward presentation of the basic constructions and terminology of category theory, including limits, functors, natural transformations, adjoints, and cartesian closed categories. Four case studies illustrate applications of category theory to programming language design, semantics, and the solution of recursive domain equations. A brief literature survey offers suggestions for further study in more advanced texts.

    This book is aimed at the working Rails developer who is looking to grow and evolve Rails projects while keeping them flexible, maintainable, and robust. The focus is on pragmatic solutions which tread a “middle way” between the expedience of the Rails “golden path”, and rigid OO purity.

    But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

    Are you fed up with leaving relationships broken-hearted and empty handed? Have you played by the rules and gotten married or had children out of love, only to be cheated on and left in the dust? If you’re tired of being played by men, it’s time you learn the secrets to getting what you want out of relationships—by digging for gold instead of accepting scraps.

    Grab a seat with TSN’s James Duthie as hockey’s finest relive highs, lows and hilarious moments on and off the ice from superstars, journeymen, coaches, referees, broadcasters, agents, and hockey moms and dads. In Beauties, you’ll find out:· How Sidney Crosby’s most unusual nickname came to be· How Steve Stamkos’s dad accidentally stole Steve Yzerman’s car· How Paul “Biznasty” Bissonette almost had the Arizona Coyotes kicked out of a Winnipeg hotel on game day· How Wayne Gretzky’s greatest one-liner may have turned around the Stanley Cup Final in 1985· About the night that Hayley Wickenheiser went blind· Why the St. Louis Blues credit Laila Anderson, a brave young girl, for their Stanley Cup win· What Bobby Orr said the first time he saw Connor McDavid play at a rink in TorontoAnd more!