Although she's little more than a child the events of her past have forged a driving determination to rise above her beginnings. But when she applies for a job as a nurse Connie's turned down: her mother was forced by poverty to work the streets and the Bell name is tainted. Bitterly hurt but undaunted, Connie's soon assistant housekeeper at the Grand Hotel and saving hard for her own business. When her path crosses Dan Stewart's, though, everything Connie's ever dreamed of is threatened. There's a dark and terrible history between the Bells and the Stewarts, and Dan's mother Edith will do anything to keep Dan and Connie apart.

    CONTAINS MCQ'S

    Tom Reasons thought that a money bet was enough for him. Then he put his career, his love, even his life on the line. Tom is just a year out of school, a paralegal in a Wall Street firm, and he's already asking himself, "Is this all there is?" He's not finding any thrills on the job, and off it he sees his friends sliding into marriages and careers. He also finds himself spending way too much time thinking about his ex-girlfriend, Lisa. Tom's pleasures are few and simple - chasing good times in bars with his old gang from school, leading his dart team. But his real escape is gambling. Every Friday night he bets his paycheck on a single game. If he wins, he lives the high life - checking out bands, standing his friends drinks, going after girls. If he loses, it's ramen noodles and TV until his next check. Win or lose, though, it's all worth it to Tom, because the thrill of risking it all is what reminds him he's alive. Tom's life works surprisingly well - until he crosses Joe Duggan. Duggan is the tough Irish captain of the meanest dart team in the league, an outfit from Hell's Kitchen known as the Hellions. After Tom's team has the nerve to beat the Hellions for the league championship, Duggan wants a rematch - this time for a little money. When a little money becomes a lot, Tom's scramble through the underworld of New York to raise the money brings him, his friends, and Lisa into dangerous territory. When it all comes down to one throw of a dart, with everything on the line, Tom discovers what he's really wanted, really needed, all along.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    Brody wants love and family, but Micah refuses to say the L word. When the guys try to reconnect at a baseball game Micah is mistakenly singled out by the Kiss Cam. He finds himself in a passionate lip lock with the gorgeous redhead sitting beside him and instantly knows things will never be the same. If Nena can be the one to bridge the gap between Micah and Brody, they have a chance at forever. Nena cannot believe her life has gone from stale to spectacular in one amazing kiss. Suddenly the girl with the extra curves has the attention of not one, but two, totally hot men. Micah and Brody don’t just rock her world. They change the way Nena views the woman in the mirror. If only she could convince her overprotective brothers that unconventional or not, this is the life she wants more than anything else.

    One of them has to get out. For good...It is the summer of 1999. Bic (half-Irish, half-Scots) is eking out a living selling crêpes to the hordes descending on Greenwich market. With one severed ear, two bizarre deaths and the arrest of his dog for civil disobedience, Bic's year hasn't exactly been going to plan.But when raven-haired Roisin takes the stall opposite his, things seem to be looking up - if Bic can just get past her over-protective brothers. That is, until Bic wakes up the-morning-after-the-night-before, in his clothes, in Edinburgh, to find he's the UK's Most Wanted Man - on the run and with fourteen murders to his name... 'Very fresh, very funny' COLIN BATEMAN'A huge and exciting plot...I loved the twist at the end' Goodreads'Great story and full of humour' Goodreads

    Not only does she train search and rescue dogs, but she’s a bestselling suspense author who has waterfront property in the beautiful mountain town of Grand Lake, Colorado. All is well until she receives a call to bring her dog Max and her snowmobile to help rescue a man who is lost in a blizzard up on Gravel Mountain. That man is the one person she never wants to see again—Ryker Anderson—the man who broke her heart the day he called three months before their wedding to say goodbye with no explanation as to why.After being gone for eighteen months, Ryker Anderson is back in Grand Lake where he hopes to win back the woman he loves. He only hopes Shelby understands why he left. Will he be able to convince Shelby that she can trust him with her heart again even though he broke it before?

    In that context alone this book is of international military importance. Using previously unknown material and through interviewing key players who have remained silent for 30 years, Ewen Southby-Tailyour has finally established the truth: that it has taken so long reflects the sensitivities, both military and personal, involved. Interviews with the SAS officer commanding Operation Plum Duff, members of the reconnaissance patrol for Operation Mikado, plus the navigator of the helicopter that flew eight troopers into Tierra del Fuego, has allowed the author to describe the tortuous events that led, instead, to a significant survival story. The RAF [pilots tasked with ' crash-landing' two Hercules onto Rio Grande during Operation Mikado have spoken of the extraordinary procedures they developed: so has the captain of the British submarine involved. The Super Etendard pilots who sank HMS Sheffield and MV Atlantic Conveyor and then 'attacked' HMS Invincible, plus a key member of the Argentine special forces and the brigadier defending Rio Grande, add credence, depth and gravitas to the saga. Exocet Falklands is a ground-breaking work of investigative military history.

    Over the moon, Bernie set about rebuilding her life and making plans for the future.Then in the summer of 2012, she was in her bedroom getting dressed when she found a lump just above her breast. Terrified, she immediately made the hospital appointment which was to deliver the devastating news that the cancer had returned. It had spread to her brain, lungs, liver and bones and the doctors said it was incurable.

    However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Bernard Marr's Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage.Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from big data, analytics and the Internet of Things.

    She wants to keep her secrets. Will true love take them both off track?Aspiring country music star, Shay Summerville, only wants to be writing and singing his music, so when his boss at the auto body shop—aka—his father, tells him it’s his turn to pick up the snobby, Harvard stranded princess who needs a tow, he does everything he can to get out of it.Spending her summer at her family’s lake house wasn’t on Jaycee McCade’s happy list. Frankly, not much had been on that happy list since her mother passed away three months before. When a tow truck spirals out of control and nearly hits her, she never imagined she’d be kissing the guy driving the truck. And she really never imagined liking it.When summer love captures both of their hearts, they have to make a choice—give up on their dreams or create a new one together.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    Two worlds are about to collide.Evie Brunton loves her job. Twice a day, she spins along the narrow lanes of Devon on her bicycle, delivering letters from a heavy post bag. When the flamboyant London artist, Bernard Cavalier, drops like a meteor into her sleepy village, everything changes. Bernard is supposed to be painting for an important exhibition, but the countryside has its own charms, in particular his young post lady…Light and witty, and full of twists and turns, The Wrong Envelope is a charming romantic comedy. It captures the spirit of another age – when letters could change lives.

    Effective Planning and Time Management

    Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data