twins on the doorstep RICH MAN… Wealthy, handsome, successful oilman, dynamic rancher…and her boss. Adam Murdock Sanders was simply too good to be true. After all, geologist Maureen York didn't believe in Mr. Right. RANCHING MAN… Then she moved to a nearby ranch–and the trouble began!Adam's protective attitude and commanding orders drove independent Maureen wild–and his kisses made her crazy…. WEDDED MAN? Soon the millionaire moved from her doorstep into her heart. But would this new arrangement lead to a merger…or a marriage? The next generation of Murdocks continues the adventure of love!

HOW TO FIND A MAKE-BELIEVE HUSBAND by Katie Logan Don't: Ask the private detective who is trying to prove you are not married. Do: Whack him over the head with a frying pan when you catch him spying on you! Don't: Notice how sexy he is as you're soothing the bump on his head. Do: Tell him he's your husband once you realize he has amnesia. But whatever you do, Don't: Check into a motel room while he's convinced you're married–especially if the detective is Travis Ryder, a real hunk whose kisses make you forget this marriage is only make-believe!

HOME FOR THE HOLIDAYS RECIPE FOR A HAPPY NEW YEAR 1 Bachelor pilot 1 Young widow 1 Oversize house 6 Assorted relatives Passion, hope and love as desired In oversize house, toss together pilot and widow. Fold in memory of passionate midnight kiss and heat thoroughly. Add generous dollop of assorted relatives. Season with passion, hope and love. Yield: A Home for the Holidays…and forever! HOME FOR THE HOLIDAYS. Celebrate the joy and love of Thanksgiving, Christmas and New Year's with three very special couples.

HUSBAND IN A MILLION Single mom Joanna Greer knew all the "mommy" tricks: kiss boo-boos, fix three squares a day…fuss, fuss, fuss. But when it came to acting as a father figure to her young son, she was desperately at a loss…. Then little Tyler staked his claim on the handsome bachelor next door. Kris Slavik didn't know the first thing about fatherhood. His upbringing had been short on hugs, but long on expectations. Well, he'd earned his millions…several times over. Problem was, he had no one to share it with. Until a rambunctious kid and his beautiful mom had him tossing around footballs–and sizing very big diamond rings….

"Are you going to marry me–yes or no?" Matthew Standish–or Mal to his friends–arrived back into Copper's life with a marriage proposal that sounded just about as romantic as sheepshearing! But then, the situation required practical solutions: Mal needed a mother for his young daughter and a housekeeper for Birraminda. So what was Cooper's answer to be? Copper hadn't ever been able to forget Mal, but she wasn't the same girl he'd known seven years ago. In fact, she had a very practical business proposition of her own….

"YOU CAN BE SAVED. IF YOU GIVE UP EVERYTHING YOU LOVE…" In Washington, DC, seventy years after democracy has fallen, the number you’re assigned by the government decrees your fate. Seventeen-year-old orphan Kitty Doe is stuck as a III, looked down upon by the higher ranks. Until a chance encounter gives her the opportunity to become a VII and join the most powerful family in the country. If she says yes, Kitty will be transformed into Lila Hart, the Prime Minister’s niece, who died under mysterious circumstances. As a member of the Hart family, she will be famous. Adored. Especially by Lila’s boyfriend, Knox. But becoming part of society’s inner circle also means seeing its darkest secrets and learning a twisted game Kitty’s only beginning to understand…Praise for Aimee Carter ‘Intelligent and sharp and really stands out from the crowd.’ – Total Teen Fiction ‘I loved it, I could barely put it down. It seemed every other page held a secret that I never saw coming and left me breathless.’ - An Awful Lot of Reading Blog ‘This is an unmissable, stunning dystopian novel with the unique and unpredictable aspects that everyone loves.’ - Pretty Little Memoirs Blog ‘This is a fantastic start to what is bound to be a heart-stopping, spell-binding series.’ - K Books Blog ‘Pawn is the only other book in the Dystopian genre worth reading along with Hunger Games’ - Reality’s a Bore Blog ‘With a touch of The Hunger Games and Divergent, Pawn is not a book to be missed.’ Uncorked Thoughts Blog ‘Love, loss and betrayal, this story will capture you from the very beginning.’ - Once Upon a Moonlight Review Blog

A DANGEROUS REUNION After he couldn't save her brother, Army First Sergeant Josh Walker isn't about to let anything happen to Andrea Donovan. Josh may have saved her from one attack, but drug smugglers are desperate to get information about one of Andrea’s patients—a patient who’s disappeared without a trace. Despite the danger, the beautiful counselor refuses to hand over confidential files. Now Josh and Andrea have no choice but to battle on for their lives—and their love—or they'll be the latest casualty to get caught in the crossfire.

Can she drag him out of paradise? Landing reclusive marketing genius Dane Montgomery would be the coup of Ophelia Reid’s executive recruiting career—and her ticket to her dream job in Paris. It would also be practically impossible. With Dane firmly entrenched in his idyllic Hawaiian coffee plantation, and his intolerance of headhunters, luring him back to the New York rat race was a long shot. If Ophelia failed, she sacrificed her dream. And if she succeeded, Dane sacrificed his. Neither could afford to give in—or give up. But spending a week with Dane, exploring the island…and their growing attraction…may weaken Ophelia’s resolve. And Dane’s starting to see that New York has one thing Hawaii doesn’t—Ophelia Reid. Too bad she’s moving to Paris!

Destination wedding guest list: The Ex-Wife Megan McNeil is genuinely happy to escort her little girls to their father’s wedding in Kauai, Hawaii—even though she feels like a third wheel. One gorgeous groomsman definitely disagrees. But are they both carrying too much baggage to begin a new romance? The Best Man Devlin Marshall won't let anything spoil his buddy's big day—not even his own rocky marriage. Secrets and mistrust have divided him from his Amy, but the love in the air seems to be catching…. The Sister Family comes first. Deep down, Gabi Foster knows it, but this holiday is hurting her career. Can a sweet, sexy surfing instructor convince her that love is worth more than a business deal?

Rescued on her doorstep After an annus horribilis, the glittering lights of Manhattan are irresistible to English girl Carrie McKenzie. She's climbed the Empire State Building, but can't get a smile from her gorgeous neighbor! Until a tiny abandoned baby on her doorstep brings her to his door…. Cop Dan Cooper has an obligation to protect, and with Carrie out of her depth, he must come to her rescue. Surely two pairs of hands are better than one? Until she becomes a distraction, not just because of her tempting curves, but because of the pain in her eyes when she looks at the precious bundle in their charge….

Gone Marcie Powers sees her missing son everywhere, until she claims to have found him once more and there is something different in her tone. Suddenly her estranged husband, Joseph, finally believes her. Now they must trek through the bayou at the whims of a kidnapper to save their son or risk losing everything all over again…

Sami Fontaine wanted a baby more than anything. But she didn't want a husband! Where could she find a man willing to father a child without gaining a wife? The solution was simple: advertise... When gorgeous Noah Hawke turned up on her doorstep, Sami knew she'd found the perfect man. Only Noah wasn't reporting for baby-making duties: he'd been hired to watch over Sami. And the very best way to protect her was to marry her!

Terror stalks a small Virginia town FBI rising star and criminal profiler Evelyn Baine knows how to think like a serial killer. But she’s never chased anyone like the Bakersville Burier, who hunts young women and displays them, half-buried, deep in the woods. As the body count climbs, Evelyn’s relentless pursuit of the killer puts her career—and her life—at risk. And the evil lurking in the Burier’s mind may be more than even she can unravel. Terror is closer than she thinks… The Bakersville Burier knows he’s got an FBI profiler on his trail. He knows who she is and where to find her. And he’s biding his time, because he’s planned a special punishment for Evelyn. She may have tracked other killers, but he vows to make this her last chase. This time it’s her turn to be hunted! Praise for Elizabeth Heiter “Gripping from the first page, VANISHED will keep you on the edge of your seat all the way to its searing conclusion…a roller coaster of a thriller.” — Jeffery Deaver, New York Times bestselling author

A mother for his son - Dedicated consultant and devoted single dad Hamish Adams is teh heartthrob of the emergency room. Hamish's life is a nonstop juggling act. Between caring for his young son and managing his demanding job, Hamish has no time for women. For the sake of his heart, and his child, that's how he intends to stay. That is, until beautiful nurse Charlotte Porter whirls into their lives! Vivacious, caring Charlotte is just what Jamish and little Cameron need. With Charlotte by their side, Hamish knows they would make a perfect family. But first he must put his heart on the line and ask Charlotte to be his wife.

Harness the power of Dynamics 365 Operations and discover all you need to implement it About This Book ? Master all the necessary tools and resources to evaluate Dynamics 365 for Operations, implement it, and proactively maintain it. ? Troubleshoot your problems effectively with your Dynamics 365 partner ? Learn about architecture, deployment choices, integration, configuration and data migration, development, testing, reporting and BI, support, upgrading, and more. Who This Book Is For This book is for technology leaders, project managers solution architects, and consultants who are planning to implement, are in the process of implementing, or are currently upgrading to Dynamics 365 for Operations. This book will help you effectively learn and implement Dynamics 365 for Operations. What You Will Learn ? Learn about Microsoft Dynamics 365, it's offerings, plans and details of Finance and Operations, Enterprise edition ? Understand the methodology and the tool, architecture, and deployment options ? Effectively plan and manage configurations and data migration, functional design, and technical design ? Understand integration frameworks, development concepts, best practices, and recommendations while developing new solutions ? Learn how to leverage intelligence and analytics through Power BI, machine learning, IOT, and Cortana intelligence ? Master testing, training, going live, upgrading, and how to get support during and after the implementation In Detail Microsoft Dynamics 365 for Finance and Operations, Enterprise edition, is a modern, cloud-first, mobile-first, ERP solution suitable for medium and large enterprise customers. This book will guide you through the entire life cycle of a implementation, helping you avoid common pitfalls while increasing your efficiency and effectiveness at every stage of the project. Starting with the foundations, the book introduces the Microsoft Dynamics 365 offerings, plans, and products. You will be taken through the various methodologies, architectures, and deployments so you can select, implement, and maintain Microsoft Dynamics 365 for Finance and Operations, Enterprise edition. You will delve in-depth into the various phases of implementation: project management, analysis, configuration, data migration, design, development, using Power BI, machine learning, Cortana analytics for intelligence, testing, training, and finally deployment, support cycles, and upgrading. This book focuses on providing you with information about the product and the various concepts and tools, along with real-life examples from the field and guidance that will empower you to execute and implement Dynamics 365 for Finance and Operations, Enterprise edition. Style and approach This book is a step-by-step guide focusing on implementing Dynamics 365 Operations solutions for your organization.

Over 80 recipes to help you breeze through your data analysis projects using R About This Book ? Analyse your data using the popular R packages like ggplot2 with ready-to-use and customizable recipes ? Find meaningful insights from your data and generate dynamic reports ? A practical guide to help you put your data analysis skills in R to practical use Who This Book Is For This book is for data scientists, analysts and even enthusiasts who want to learn and implement the various data analysis techniques using R in a practical way. Those looking for quick, handy solutions to common tasks and challenges in data analysis will find this book to be very useful. Basic knowledge of statistics and R programming is assumed. What You Will Learn ? Acquire, format and visualize your data using R ? Using R to perform an Exploratory data analysis ? Introduction to machine learning algorithms such as classification and regression ? Get started with social network analysis ? Generate dynamic reporting with Shiny ? Get started with geospatial analysis ? Handling large data with R using Spark and MongoDB ? Build Recommendation system- Collaborative Filtering, Content based and Hybrid ? Learn real world dataset examples- Fraud Detection and Image Recognition In Detail Data analytics with R has emerged as a very important focus for organizations of all kinds. R enables even those with only an intuitive grasp of the underlying concepts, without a deep mathematical background, to unleash powerful and detailed examinations of their data. This book will show you how you can put your data analysis skills in R to practical use, with recipes catering to the basic as well as advanced data analysis tasks. Right from acquiring your data and preparing it for analysis to the more complex data analysis techniques, the book will show you how you can implement each technique in the best possible manner. You will also visualize your data using the popular R packages like ggplot2 and gain hidden insights from it. Starting with implementing the basic data analysis concepts like handling your data to creating basic plots, you will master the more advanced data analysis techniques like performing cluster analysis, and generating effective analysis reports and visualizations. Throughout the book, you will get to know the common problems and obstacles you might encounter while implementing each of the data analysis techniques in R, with ways to overcoming them in the easiest possible way. By the end of this book, you will have all the knowledge you need to become an expert in data analysis with R, and put your skills to test in real-world scenarios. Style and Approach ? Hands-on recipes to walk through data science challenges using R ? Your one-stop solution for common and not-so-common pain points while performing real-world problems to execute a series of tasks. ? Addressing your common and not-so-common pain points, this is a book that you must have on the shelf

Simplify machine learning model implementations with Spark About This Book ? Solve the day-to-day problems of data science with Spark ? This unique cookbook consists of exciting and intuitive numerical recipes ? Optimize your work by acquiring, cleaning, analyzing, predicting, and visualizing your data Who This Book Is For This book is for Scala developers with a fairly good exposure to and understanding of machine learning techniques, but lack practical implementations with Spark. A solid knowledge of machine learning algorithms is assumed, as well as hands-on experience of implementing ML algorithms with Scala. However, you do not need to be acquainted with the Spark ML libraries and ecosystem. What You Will Learn ? Get to know how Scala and Spark go hand-in-hand for developers when developing ML systems with Spark ? Build a recommendation engine that scales with Spark ? Find out how to build unsupervised clustering systems to classify data in Spark ? Build machine learning systems with the Decision Tree and Ensemble models in Spark ? Deal with the curse of high-dimensionality in big data using Spark ? Implement Text analytics for Search Engines in Spark ? Streaming Machine Learning System implementation using Spark In Detail Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability, and optimization. Learning about algorithms enables a wide range of applications, from everyday tasks such as product recommendations and spam filtering to cutting edge applications such as self-driving cars and personalized medicine. You will gain hands-on experience of applying these principles using Apache Spark, a resilient cluster computing system well suited for large-scale machine learning tasks. This book begins with a quick overview of setting up the necessary IDEs to facilitate the execution of code examples that will be covered in various chapters. It also highlights some key issues developers face while working with machine learning algorithms on the Spark platform. We progress by uncovering the various Spark APIs and the implementation of ML algorithms with developing classification systems, recommendation engines, text analytics, clustering, and learning systems. Toward the final chapters, we’ll focus on building high-end applications and explain various unsupervised methodologies and challenges to tackle when implementing with big data ML systems. Style and approach This book is packed with intuitive recipes supported with line-by-line explanations to help you understand how to optimize your work flow and resolve problems when working with complex data modeling tasks and predictive algorithms. This is a valuable resource for data scientists and those working on large scale data projects.

Leverage Scala and Machine Learning to study and construct systems that can learn from data About This Book ? Explore a broad variety of data processing, machine learning, and genetic algorithms through diagrams, mathematical formulation, and updated source code in Scala ? Take your expertise in Scala programming to the next level by creating and customizing AI applications ? Experiment with different techniques and evaluate their benefits and limitations using real-world applications in a tutorial style Who This Book Is For If you’re a data scientist or a data analyst with a fundamental knowledge of Scala who wants to learn and implement various Machine learning techniques, this book is for you. All you need is a good understanding of the Scala programming language, a basic knowledge of statistics, a keen interest in Big Data processing, and this book! What You Will Learn ? Build dynamic workflows for scientific computing ? Leverage open source libraries to extract patterns from time series ? Write your own classification, clustering, or evolutionary algorithm ? Perform relative performance tuning and evaluation of Spark ? Master probabilistic models for sequential data ? Experiment with advanced techniques such as regularization and kernelization ? Dive into neural networks and some deep learning architecture ? Apply some basic multiarm-bandit algorithms ? Solve big data problems with Scala parallel collections, Akka actors, and Apache Spark clusters ? Apply key learning strategies to a technical analysis of financial markets In Detail The discovery of information through data clustering and classification is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, engineering design, logistics, manufacturing, and trading strategies, to detection of genetic anomalies. The book is your one stop guide that introduces you to the functional capabilities of the Scala programming language that are critical to the creation of machine learning algorithms such as dependency injection and implicits. You start by learning data preprocessing and filtering techniques. Following this, you'll move on to unsupervised learning techniques such as clustering and dimension reduction, followed by probabilistic graphical models such as Na?ve Bayes, hidden Markov models and Monte Carlo inference. Further, it covers the discriminative algorithms such as linear, logistic regression with regularization, kernelization, support vector machines, neural networks, and deep learning. You’ll move on to evolutionary computing, multibandit algorithms, and reinforcement learning. Finally, the book includes a comprehensive overview of parallel computing in Scala and Akka followed by a de*ion of Apache Spark and its ML library. With updated codes based on the latest version of Scala and comprehensive examples, this book will ensure that you have more than just a solid fundamental knowledge in machine learning with Scala. Style and approach This book is designed as a tutorial with hands-on exercises using technical analysis of financial markets and corporate data. The approach of each chapter is such that it allows you to understand key concepts easily.

Build simple, maintainable, and easy to deploy machine learning applications. About This Book ? Build simple, but powerful, machine learning applications that leverage Go’s standard library along with popular Go packages. ? Learn the statistics, algorithms, and techniques needed to successfully implement machine learning in Go ? Understand when and how to integrate certain types of machine learning model in Go applications. Who This Book Is For This book is for Go developers who are familiar with the Go syntax and can develop, build, and run basic Go programs. If you want to explore the field of machine learning and you love Go, then this book is for you! Machine Learning with Go will give readers the practical skills to perform the most common machine learning tasks with Go. Familiarity with some statistics and math topics is necessary. What You Will Learn ? Learn about data gathering, organization, parsing, and cleaning. ? Explore matrices, linear algebra, statistics, and probability. ? See how to evaluate and validate models. ? Look at regression, classification, clustering. ? Learn about neural networks and deep learning ? Utilize times series models and anomaly detection. ? Get to grip with techniques for deploying and distributing analyses and models. ? Optimize machine learning workflow techniques In Detail The mission of this book is to turn readers into productive, innovative data analysts who leverage Go to build robust and valuable applications. To this end, the book clearly introduces the technical aspects of building predictive models in Go, but it also helps the reader understand how machine learning workflows are being applied in real-world scenarios. Machine Learning with Go shows readers how to be productive in machine learning while also producing applications that maintain a high level of integrity. It also gives readers patterns to overcome challenges that are often encountered when trying to integrate machine learning in an engineering organization. The readers will begin by gaining a solid understanding of how to gather, organize, and parse real-work data from a variety of sources. Readers will then develop a solid statistical toolkit that will allow them to quickly understand gain intuition about the content of a dataset. Finally, the readers will gain hands-on experience implementing essential machine learning techniques (regression, classification, clustering, and so on) with the relevant Go packages. Finally, the reader will have a solid machine learning mindset and a powerful Go toolkit of techniques, packages, and example implementations. Style and approach This book connects the fundamental, theoretical concepts behind Machine Learning to practical implementations using the Go programming language.

Learn the techniques used by the most successful IT people in the world. About This Book ? Get real-life case studies for different IT roles, developers, testers, analysts, project managers, DBAs ? Identify with your IT scenarios and take the right decision to move up in your career ? Improve your EQ and face any difficult scenario confidently and effectively Who This Book Is For This book is for professionals across the IT domain who work as developers, administrators, architects, administrators system analysts, and so on, who want to create a better working environment around them by improving their own emotional intelligence. This book assumes that you are a beginner to emotional intelligence and will help you understand the basic concepts before helping you with real life scenarios. What You Will Learn ? Improve your observation skills to understand people better ? Know how to identify what motivates you and those around you ? Develop strategies for working more effectively with others ? Increase your capacity to influence people and improve your communication skills ? Understand how to successfully complete tasks through other people ? Discover how to control the emotional content of your decision-making In Detail This book will help you discover your emotional quotient (EQ) through practices and techniques that are used by the most successful IT people in the world. It will make you familiar with the core skills of Emotional Intelligence, such as understanding the role that emotions play in life, especially in the workplace. You will learn to identify the factors that make your behavior consistent, not just to other employees, but to yourself. This includes recognizing, harnessing, predicting, fostering, valuing, soothing, increasing, decreasing, managing, shifting, influencing or turning around emotions and integrating accurate emotional information into decision-making, reasoning, problem solving, etc., because, emotions run business in a way that spreadsheets and logic cannot. When a deadline lurks, you’ll know the steps you need to take to keep calm and composed. You’ll find out how to meet the deadline, and not get bogged down by stress. We’ll explain these factors and techniques through real-life examples faced by IT employees and you’ll learn using the choices that they made. This book will give you a detailed analysis of the events and behavioral pattern of the employees during that time. This will help you improve your own EQ to the extent that you don’t just survive, but thrive in a competitive IT industry. Style and approach You will be taken through real-life events faced by IT employees in different scenarios. These real-world cases are analyzed along with the response of the employees, which will help you to develop your own emotion intelligence quotient and face any difficult scenario confidently and effectively.

Over 60 hands-on recipes that get you acquainted with Drupal 8's features and help you harness its power About This Book ? Discover the enhanced content authoring experience that comes with Drupal 8 and how to customize it ? Take advantage of the broadened multilingual and tools of the new version to provide an internationalized website ? This step-by-step guide will show you how to deploy from development, staging, and production of a website with Drupal 8's brand new configuration management system Who This Book Is For The audience of the Drupal 8 Cookbook have been using Drupal and are ready to get a grasp of what to expect in Drupal 8. They have worked with Drupal as site builders, back-end developers, and front-end developers and are eager to see what awaits when they start using Drupal 8. This book will be a resource that allows them to get started and have a reference to building new applications with Drupal. What You Will Learn ? Extend Drupal through contributed or custom modules and themes ? Develop an internationalized website with Drupal's multilingual tools ? Integrate third-party front-end and back-end libraries with Drupal ? Turn Drupal into a web services provider using REST ? Create a mobile-first responsive Drupal application ? Run SimpleTest and PHPUnit to test Drupal ? Understand the plugin system that powers many of Drupal 8's new APIs to extend its functionality ? Get to grips with the mechanics of the configuration management system and the ability to import and export site configuration In Detail Began as a message board, Drupal today is open source software maintained and developed by a community of over 1,000,000 users and developers. Drupal is used by numerous local businesses to global corporations and diverse organizations all across the globe. With Drupal 8’s exciting features it brings, this book will be your go-to guide to experimenting with all of these features through helpful recipes. We’ll start by showing you how to customize and configure the Drupal environment as per your requirements, as well as how to install third-party libraries and then use them in the Drupal environment. Then we will move on to creating blocks and custom modules with the help of libraries. We will show you how to use the latest mobile-first feature of Drupal 8, which will help you make your apps responsive across all the major platforms. This book will also show you how to incorporate multilingual facilities in your sites, use web services and third-party plugins with your applications from inside Drupal 8, and test and deploy your apps. Style and approach This practical, recipe-based book will provide you with actionable techniques and methods to improve your existing Drupal development skills.