Hired: one wife! Annabelle Forrester has only ever loved one man–Rand Dumbarton. The gorgeous tycoon had swept her off her feet and proposed marriage. But their whirlwind courtship had ended bitterly. Annabelle had been unable to forgive him for trying to make her choose between him and her job. The pint-size private eye is, however, shocked when her latest client turns out to be none other than Rand Dumbarton. It seems to Annabelle a cruel twist of fate that the man who couldn't accept her occupation now needs her help. But does Rand want her for business–or as his bride? Love Undercover Their mission was marriage!

BACHELOR TERRITORY She's his client Roman Lufka is a rough, tough private investigator. He's been hired to protect Brittany Langford. The easiest way to be by her side, twenty-four hours a day, is to go undercover–as Brittany's husband. …and his wife! But if protecting his "wife" is easy, living with her isn't. They're perfect strangers–and for Roman, Brit is all too perfect. It seems this confirmed bachelor is facing his toughest assignment yet–falling in love! "Rebecca Winters writes from the heart…" –Debbi Macomber There are two sides to every story…and now it's his turn!

THE RIGHT HUSBAND… In two weeks, Lacey McCade was supposed to walk down the aisle and say "I do" to the man of every woman's dreams…except her own. So when she heard about a short-term position at Black's Bluff Ranch, Lacey knew the live-in-job would give her time to think. But think was all she could do…about Ethan Black, her very sexy employer…. From the tender way he cared for his little charges to the tough way he tended to the land, Ethan made Lacey's heart stop, swell and swoon. But the proud, half Native-American rancher had closed his own heart to loving again. Still, something in Ethan's searing, soul-searching gaze dared Lacey to hope he'd make her wedding dreams come true….

JUNE BRIDES HIS MEANT-TO-BE BRIDE When doe-eyed, all gowned-up-and-no-groom-in-sight Megan Morison sought refuge in his arms, bachelor John Vermont offered her a roof over her head, a job to pay the bills and his rugged shoulder to lean on…. HER DESTINED GROOM Megan had had her fill of people trying to run her life, but with strong, silent, steely-eyed John Vermont, she felt truly safe, accepted…and dare she believed loved? But John claimed that marriage wasn't for him, though his longing looks and heated kisses suggested otherwise. And now Megan wished this gorgeous albeit gruff ship captain would take the gift destiny offered and make her his lawfully wedded wife…. Celebrate a month of joyful marriages with Silhouette Romance!

Bachelor Gulch The Bachelor: Wyatt McCully, dedicated–and extremely eligible–town sheriff. Though husband-hungry women were flocking to Jasper Gulch, there was only one single gal Wyatt wanted. The Bride: Lisa Markman, a woman with a yearning for marriage, and with a secret. She couldn't dare consider lawman Wyatt as a potential groom. The sexy sheriff could tell when a woman was interested, and Lisa had all the signs of succumbing to his charming ways. So why did she refuse to take his heartfelt proposals seriously? Wyatt decided he had to uncover everything about the mysterious woman he intended to claim as his wife, and set out to make the pursuit his pleasure…and hers! Bachelor Gulch. This little town wanted women–but are these bachelors ready for marriage?

There's no place like home… Unless, like Kaarl, you are a demon and your home is Hell…literally! While the rest of Hell enjoys cruel games, Kaarl is looking for a new challenge. So he makes a deal with the devil himself: time in the Mortal Realm in return for human souls… The Mortal Realm offers a taste of freedom he could never experience in Hell and Kaarl jumps at the chance to fulfil his dream. But gathering human souls comes with a cost and as more and more souls lose their way, Kaarl realises that he is creating Hell on his beloved Earth. Now to save the Mortal Realm, Kaarl's going to have to switch sides… Praise for JL Morris 'This was a great read. Very entertaining.' - Koeur's Book Reviews 'A great story from a young author who has, I believe, a strong future in the literary world if he can produce more books like this.' - Fiona's Book Reviews

A practical guide to help you undertand the ability of Apache jMeter to load and performance test various server types in a more efficient way. About This Book ? Use jMeter to create and run tests to improve the performance of your webpages and applications ? Learn to build a test plan for your websites and analyze the results ? Unleash the power of various features and changes introduced in Apache jMeter 3.0 Who This Book Is For This book is for software professionals who want to understand and improve the performance of their applications with Apache jMeter. What You Will Learn ? See why performance testing is necessary and learn how to set up JMeter ? Record and test with JMeter ? Handle various form inputs in JMeter and parse results during testing ? Manage user sessions in web applications in the context of a JMeter test ? Monitor JMeter results in real time ? Perform distributed testing with JMeter ? Get acquainted with helpful tips and best practices for working with JMeter In Detail JMeter is a Java application designed to load and test performance for web application. JMeter extends to improve the functioning of various other static and dynamic resources. This book is a great starting point to learn about JMeter. It covers the new features introduced with JMeter 3 and enables you to dive deep into the new techniques needed for measuring your website performance. The book starts with the basics of performance testing and guides you through recording your first test scenario, before diving deeper into JMeter. You will also learn how to configure JMeter and browsers to help record test plans. Moving on, you will learn how to capture form submission in JMeter, dive into managing sessions with JMeter and see how to leverage some of the components provided by JMeter to handle web application HTTP sessions. You will also learn how JMeter can help monitor tests in real-time. Further, you will go in depth into distributed testing and see how to leverage the capabilities of JMeter to accomplish this. You will get acquainted with some tips and best practices with regard to performance testing. By the end of the book, you will have learned how to take full advantage of the real power behind Apache JMeter. Style and approach The book is a practical guide starting with introducing the readers to the importance of automated testing. It will then be a beginner’s journey from getting introduced to Apache jMeter to an in-detail discussion of more advanced features and possibilities with it.

Build Machine Learning models with a sound statistical understanding. About This Book ? Learn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics. ? Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering. ? Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and Python. Who This Book Is For This book is intended for developers with little to no background in statistics, who want to implement Machine Learning in their systems. Some programming knowledge in R or Python will be useful. What You Will Learn ? Understand the Statistical and Machine Learning fundamentals necessary to build models ? Understand the major differences and parallels between the statistical way and the Machine Learning way to solve problems ? Learn how to prepare data and feed models by using the appropriate Machine Learning algorithms from the more-than-adequate R and Python packages ? Analyze the results and tune the model appropriately to your own predictive goals ? Understand the concepts of required statistics for Machine Learning ? Introduce yourself to necessary fundamentals required for building supervised & unsupervised deep learning models ? Learn reinforcement learning and its application in the field of artificial intelligence domain In Detail Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. This book will teach you all it takes to perform complex statistical computations required for Machine Learning. You will gain information on statistics behind supervised learning, unsupervised learning, reinforcement learning, and more. Understand the real-world examples that discuss the statistical side of Machine Learning and familiarize yourself with it. You will also design programs for performing tasks such as model, parameter fitting, regression, classification, density collection, and more. By the end of the book, you will have mastered the required statistics for Machine Learning and will be able to apply your new skills to any sort of industry problem. Style and approach This practical, step-by-step guide will give you an understanding of the Statistical and Machine Learning fundamentals you'll need to build models.

Use scikit-learn to apply machine learning to real-world problems About This Book ? Master popular machine learning models including k-nearest neighbors, random forests, logistic regression, k-means, naive Bayes, and artificial neural networks ? Learn how to build and evaluate performance of efficient models using scikit-learn ? Practical guide to master your basics and learn from real life applications of machine learning Who This Book Is For This book is intended for software engineers who want to understand how common machine learning algorithms work and develop an intuition for how to use them, and for data scientists who want to learn about the scikit-learn API. Familiarity with machine learning fundamentals and Python are helpful, but not required. What You Will Learn ? Review fundamental concepts such as bias and variance ? Extract features from categorical variables, text, and images ? Predict the values of continuous variables using linear regression and K Nearest Neighbors ? Classify documents and images using logistic regression and support vector machines ? Create ensembles of estimators using bagging and boosting techniques ? Discover hidden structures in data using K-Means clustering ? Evaluate the performance of machine learning systems in common tasks In Detail Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. Using powerful algorithms and techniques offered by machine learning you can automate any analytical model. This book examines a variety of machine learning models including popular machine learning algorithms such as k-nearest neighbors, logistic regression, naive Bayes, k-means, decision trees, and artificial neural networks. It discusses data preprocessing, hyperparameter optimization, and ensemble methods. You will build systems that classify documents, recognize images, detect ads, and more. You will learn to use scikit-learn’s API to extract features from categorical variables, text and images; evaluate model performance, and develop an intuition for how to improve your model’s performance. By the end of this book, you will master all required concepts of scikit-learn to build efficient models at work to carry out advanced tasks with the practical approach. Style and approach This book is motivated by the belief that you do not understand something until you can describe it simply. Work through toy problems to develop your understanding of the learning algorithms and models, then apply your learnings to real-life problems.

Harness the power of Scala to program Spark and analyze tonnes of data in the blink of an eye! About This Book ? Learn Scala’s sophisticated type system that combines Functional Programming and object-oriented concepts ? Work on a wide array of applications, from simple batch jobs to stream processing and machine learning ? Explore the most common as well as some complex use-cases to perform large-scale data analysis with Spark Who This Book Is For Anyone who wishes to learn how to perform data analysis by harnessing the power of Spark will find this book extremely useful. No knowledge of Spark or Scala is assumed, although prior programming experience (especially with other JVM languages) will be useful to pick up concepts quicker. What You Will Learn ? Understand object-oriented & functional programming concepts of Scala ? In-depth understanding of Scala collection APIs ? Work with RDD and DataFrame to learn Spark’s core abstractions ? Analysing structured and unstructured data using SparkSQL and GraphX ? Scalable and fault-tolerant streaming application development using Spark structured streaming ? Learn machine-learning best practices for classification, regression, dimensionality reduction, and recommendation system to build predictive models with widely used algorithms in Spark MLlib & ML ? Build clustering models to cluster a vast amount of data ? Understand tuning, debugging, and monitoring Spark applications ? Deploy Spark applications on real clusters in Standalone, Mesos, and YARN In Detail Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you. The first part introduces you to Scala, helping you understand the object-oriented and functional programming concepts needed for Spark application development. It then moves on to Spark to cover the basic abstractions using RDD and DataFrame. This will help you develop scalable and fault-tolerant streaming applications by analyzing structured and unstructured data using SparkSQL, GraphX, and Spark structured streaming. Finally, the book moves on to some advanced topics, such as monitoring, configuration, debugging, testing, and deployment. You will also learn how to develop Spark applications using SparkR and PySpark APIs, interactive data analytics using Zeppelin, and in-memory data processing with Alluxio. By the end of this book, you will have a thorough understanding of Spark, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big. Style and approach Filled with practical examples and use cases, this book will hot only help you get up and running with Spark, but will also take you farther down the road to becoming a data scientist.

Advanced analytics on your Big Data with latest Apache Spark 2.x About This Book ? An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities. ? Extend your data processing capabilities to process huge chunk of data in minimum time using advanced concepts in Spark. ? Master the art of real-time processing with the help of Apache Spark 2.x Who This Book Is For If you are a developer with some experience with Spark and want to strengthen your knowledge of how to get around in the world of Spark, then this book is ideal for you. Basic knowledge of Linux, Hadoop and Spark is assumed. Reasonable knowledge of Scala is expected. What You Will Learn ? Examine Advanced Machine Learning and DeepLearning with MLlib, SparkML, SystemML, H2O and DeepLearning4J ? Study highly optimised unified batch and real-time data processing using SparkSQL and Structured Streaming ? Evaluate large-scale Graph Processing and Analysis using GraphX and GraphFrames ? Apply Apache Spark in Elastic deployments using Jupyter and Zeppelin Notebooks, Docker, Kubernetes and the IBM Cloud ? Understand internal details of cost based optimizers used in Catalyst, SystemML and GraphFrames ? Learn how specific parameter settings affect overall performance of an Apache Spark cluster ? Leverage Scala, R and python for your data science projects In Detail Apache Spark is an in-memory cluster-based parallel processing system that provides a wide range of functionalities such as graph processing, machine learning, stream processing, and SQL. This book aims to take your knowledge of Spark to the next level by teaching you how to expand Spark’s functionality and implement your data flows and machine/deep learning programs on top of the platform. The book commences with an overview of the Spark ecosystem. It will introduce you to Project Tungsten and Catalyst, two of the major advancements of Apache Spark 2.x. You will understand how memory management and binary processing, cache-aware computation, and code generation are used to speed things up dramatically. The book extends to show how to incorporate H20, SystemML, and Deeplearning4j for machine learning, and Jupyter Notebooks and Kubernetes/Docker for cloud-based Spark. During the course of the book, you will learn about the latest enhancements to Apache Spark 2.x, such as interactive querying of live data and unifying DataFrames and Datasets. You will also learn about the updates on the APIs and how DataFrames and Datasets affect SQL, machine learning, graph processing, and streaming. You will learn to use Spark as a big data operating system, understand how to implement advanced analytics on the new APIs, and explore how easy it is to use Spark in day-to-day tasks. Style and approach This book is an extensive guide to Apache Spark modules and tools and shows how Spark's functionality can be extended for real-time processing and storage with worked examples.

Build, Manage and Improve your infrastructure effortlessly. About This Book ? An up-to-date and comprehensive resource on Terraform that lets you quickly and efficiently launch your infrastructure ? Learn how to implement your infrastructure as code and make secure, effective changes to your infrastructure ? Learn to build multi-cloud fault-tolerant systems and simplify the management and orchestration of even the largest scale and most complex cloud infrastructures Who This Book Is For This book is for developers and operators who already have some exposure to working with infrastructure but want to improve their workflow and introduce infrastructure as a code practice. Knowledge of essential Amazon Web Services components (EC2, VPC, IAM) would help contextualize the examples provided. Basic understanding of Jenkins and Shell *s will be helpful for the chapters on the production usage of Terraform. What You Will Learn ? Understand what Infrastructure as Code (IaC) means and why it matters ? Install, configure, and deploy Terraform ? Take full control of your infrastructure in the form of code ? Manage complete infrastructure, starting with a single server and scaling beyond any limits ? Discover a great set of production-ready practices to manage infrastructure ? Set up CI/CD pipelines to test and deliver Terraform stacks ? Construct templates to simplify more complex provisioning tasks In Detail Terraform is a tool used to efficiently build, configure, and improve the production infrastructure. It can manage the existing infrastructure as well as create custom in-house solutions. This book shows you when and how to implement infrastructure as a code practices with Terraform. It covers everything necessary to set up the complete management of infrastructure with Terraform, starting with the basics of using providers and resources. It is a comprehensive guide that begins with very small infrastructure templates and takes you all the way to managing complex systems, all using concrete examples that evolve over the course of the book. The book ends with the complete workflow of managing a production infrastructure as code—this is achieved with the help of version control and continuous integration. The readers will also learn how to combine multiple providers in a single template and manage different code bases with many complex modules. It focuses on how to set up continuous integration for the infrastructure code. The readers will be able to use Terraform to build, change, and combine infrastructure safely and efficiently. Style and approach This book will help and guide you to implement Terraform in your infrastructure. The readers will start by working on very small infrastructure templates and then slowly move on to manage complex systems, all by using concrete examples that will evolve during the course of the book.

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….

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!

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…

If you like Debra's books, check out HER MULE HOLLOW COWBOY & RAFE book 1&2 of her new series New Horizon Ranch of Mule Hollow FALLING FOR THE COWBOY Rowdy McDermott has a plan. Stay on the straight and narrow, help the foster boys on Sunrise Ranch, and forget about love. The last thing he expected is his pretty new neighbor falling literally into his arms. Lucy Calvert is glad the handsome cowboy broke her fall, but isn't ready for the feelings he's stirring in her heart. She's heard rumors about his past, and is steering clear from the kind of man he used to be. With a little help from his boys, can Rowdy show her that people--and hearts--can change? Cowboys of Sunrise Ranch: These men have hearts as big as Texas.

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

If street magic was easy, everyone would be doing it. I’m Domino Riley, an enforcer for Shanar Rashan. Like most mob bosses in L.A., he’s a powerful sorcerer, battling for control of the city, gathering up the magic of violent and powerful emotions and storing it for his own use. Rashan saved me from the streets and made me his lieutenant. You could say I’m his go-to girl. Recently, a fellow gangster was ritually executed, and now I have to find out which of Rashan’s enemies was behind it—and why. The cryptic messages I’m getting from the Beyond tell me it wasn’t a simple hit. With the bodies piling up, I need to win an occult gang war, take out the supernatural traitor within our outfit, and, oh yeah, deal with the mixed messages I’m getting from the boss’s son… MOB RULES

Once touched… Marisa Somerville has changed. Now a confident, groomed, successful businesswoman, she’s nothing like the scared wife of an abusive husband that Rafe Peveril survived a plane crash with six years ago. Never forgotten… She has a different name, but he’d know those siren green eyes, and lush lips anywhere. Yet she insists they’ve never met and Rafe wants to know why. She might deny knowing him but she can’t deny how she responds to his touch…

HER LIFE IS ON THE LINE For a year, U.S. Marshal Hunter Davis has protected witness Annie Delacorte and her toddler daughter. But now, someone is determined to stop Annie from testifying against the men who killed her husband. To guard Annie, by-the-book Hunter will have to break a promise to himself: to not get emotionally involved. After all, he already cares more deeply than he ever imagined for the sweet family of two . . . a family he’ll do anything to keep safe and sound by his side. Witness Protection: Hiding in plain sight.

His only chance to be a father… Navy SEAL captain Nikos Vassalos is a shell of the man he once was. Tortured by PTSD, he isolates himself on his luxury yacht. But his bitter solitude is interrupted–by a heavily pregnant woman who tells him he's about to be a dad! Putting her own deep-rooted fears of rejection aside, Stephanie Marsh is determined that her baby will know its father. Only this cold, suspicious Nikos is not the man she once fell for. Will the tiny miracle growing inside her help them find the happy ending they both deserve–together?