Taming Hollywood's Best Man Shy Eloise Miller has hidden from attention since her mother's scandalous affairs destroyed her family. So having to act as maid of honour in a glitzy celebrity wedding is her worst nightmare! Under the glare of the world's media, she's paired with best man Noah Cross. On paper, this commitment-phobic Hollywood heart-throb is everything Eloise avoids. But soon he's unlocking Eloise's secret hopes, and tempting her to believe that her dreams of for ever might come true… Wedding of the Year Saying ‘I do’ in the spotlight!

THE COWGIRL OF HIS DREAMS Jen Taylor is this close to becoming a world-champion barrel racer. But when tragedy strikes bull rider Colt Mead, she puts her ambitions on hold…temporarily. The playboy of the circuit suddenly has a child depending on him. She can’t let her friend go it alone—no matter how much he hurt her… Colt knew Jen deserved better than a rootless bull rider. But caring for his orphaned half sister makes him realize how much he wants to be part of a family. And that family won’t be complete without the woman he loves as much more than a friend. Will she give up her dream to be part of his?

The engagement escapade! This season, all eyes are on biddable, well-connected Lady Belle. And for ambitious Benjamin Lovell, she’s the perfect candidate for a convenient marriage. First, though, he must contend with her fiercely protective sister, Lady Amelia Summoner. Amy is determined that only the right man will win her sister, and rakish Benjamin is certainly not that. Every move he makes, she’ll be one step ahead! Until the games get out of hand…and Amy realises she’s broken her own rules and fallen for Ben herself!

Best man to daddy! Nurse Lindsey Stewart knows that dancing with new, enigmatic Casualty doctor Dante Rossi is asking for trouble…but when he takes her hand at a wedding she’s powerless to resist. As their night turns into a weekend she learns there’s more to this charming best man than meets the eye. Returning to work, neither can escape their undeniable chemistry—even when trying to remain professional! Until Lindsey discovers she’s pregnant, and realises she might hold the key to healing Dante’s damaged heart…

Adding up to family Figures, not families, were her forte. Yet somehow CPA Katie WIlliams found herself accepting single dad Sam Millwright's desperate job offer to help care for his two young children. She took the job…temporarily. Because losing her heart to this love-starved family was definitely off the books. Sam knew Katie was different from her first day on the job. In just a short while, the new nanny had coaxed a smile from his sullen daughter and got his silent son to speak. And she awakened a part of the widower's heart he'd long since locked away. Still, Katie planned to leave—and Sam knew if he stood any chance of convincing her to stay, he had to show the temporary nanny that they could have a permanent future…together!

No more wedding marches for her! Wedding planner Roxie Honeycutt can make happy-ever-after come true for anyone except herself. Freshly divorced and done with love, she’s okay with watching clients walk down the aisle. What’s not okay? Sharing a charming Victorian house with accountant Byron Strong. He’s frustratingly sexy and determined to keep her confused. Roxie thought Byron’s expertise was numbers, yet somehow he sees her for who she really is. Somehow he understands the hurt she hides behind a trademark smile. Suddenly romance is tempting again, even if it means risking another heartbreak.

Slut or saint? Good friend or bad friend? In control or completely out of it? She's avoided boys, always topped her class and is poised to become the first female student council president in years. But being the good girl isn't always easy. Not when Natalie’s advice hurts more than it helps. Not when a boy she once dismissed becomes the one she can't stop thinking about. Soon Natalie’s learning that the line between good and bad is fuzzier than she thought and crossing it could end in disaster . . . or be the best choice she’s ever made.

Dr. Abby Curtis starts her new job in a busy A&E department with trepidation. Her consultant boss is notorious for his critical nature and she's had enough of overbearing men Her fears are borne out as Dr. Jordan Blakesley seems intent on faulting everything she does–but he's just so attractive that she cannot keep her eyes off him! And when dramatic events in Abby's life result in Jordan paying her very personal attention, she has to decide whether his protection is something she wants to depend upon for ever…

For former private investigator Dana Miller, there can be no peace of mind until she finds the person who killed her husband. Now a single mother to three boys, Dana wants closure. But it turns out she’ll need to form an alliance with the man she holds responsible for the death. And uncovering answers may mean bringing down the program her husband believed in. Rick Sanchez has no intention of letting Dana destroy all the good he and Ken Miller worked for. As he and Dana try to learn the truth about what happened, he discovers that he and his old friend have something else in common – an undeniable attraction toward this intrepid, high-spirited woman who fights for the people she loves.

What if your devastating breakup became this summer’s hit single? In this rock-and-roll retelling of Jane Austen’s Persuasion, music can either bring you together or tear you apart. At her dying mother’s request, Claire dumps Jared, the only boy she’s ever loved. Left with a broken family and a broken heart, Claire is furious when she discovers that her biggest regret became Jared’s big break. While Jared is catapulted into rock-star status, another piece of Claire’s heart crumbles every time his song plays on the radio. The summer after her senior year, it’s been months since the big breakup, and Claire is just trying to keep her head down and make it through a tense trip to the beach with her family. But when Jared shows up, and old feelings reignite, can Claire and Jared let go of the past? Or will they be stuck singing the same old refrain.

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.

Whirlwind Weddings Beauty and the beast? Cynical millionaire Perseus Kostopoulos is no Prince Charming–his Greek-god features are marred by a two-inch scar above his jaw. But Samantha can't help but find her boss attractive, especially when, in return for a simple favor, he offers to grant her three wishes! All she had to do is become his temporary wife…. But this is to be a purely practical marriage; Samantha his bride by day alone. Only she hasn't been bought by the promise of wishes. Perseus himself is the prize she seeks…if only he'd make her his wife for real! Who says you can't hurry love?

His kisses were irresistible Alex D'Amour was an unexpected–and decidedly unwelcome!–guest in Elissa Crosby's home. Not wanting to spoil the Christmas mood for her two younger sisters and their families, she asked Alex to pretend they were friends. But he got carried away by his part and what her sisters actually saw was Alex–the affectionate lover! Had independent Elissa finally met her match? Only she knew that Alex was not wanting her so much as her beautiful home. But under the spell of the Christmas mistletoe–and Alex's magical kisses–miracles could happen…. ENCHANTED BRIDES– Wanted: three dream husbands for three loving sisters

Conflicting desires… Sarah Fox has never let a man come between her and her high-profile career as a TV reporter, until a handsome stranger saves her life…and shows her other, more rewarding ways of spending her time! Since a tragic brush with the pres, Luke Ansfield has had no desire to be back in the limelight. Sadly, his desire to be with Sarah keeps thrusting him into it. Luke could encourage her to change careers, but can he live with himself if he stands in the way of Sarah's future? Maybe he should convince her to leave him–but can he live without her?

His choice of wife… Taryn had no doubts that when Mike O'Malley looked at her, he was seeing another woman: the mysterious, beautiful Crystal–his former fiancée, who'd broken his heart. Everyone said Taryn was the spitting image of her…. Was that the reason Mike was taking such a personal interest in Taryn? He claimed he wasn't interested in marrying anyone–but there was no denying the powerful attraction between them. Could it be that, despite his claims, Mike had marriage on his mind–and, if so, would he ever look into Taryn's eyes and see only her? "Ms. Duke captivates readers with…intense passion, a strong emotional conflict and endearing characters." –Romantic Times

Once bitten, twice shy Nothing could fade the bitter memories Candy had of Cameron Strythe. How could he have been so callous, abandoning her pregnant sister all those years ago? He'd disrupted their lives, and he was stilldisturbing Candy's peace of mind with his dynamic presence and all too charming manner…. But this man had betrayed her sister and, Candy vowed, it was her absolute duty to exact a full and meaningful revenge–at any cost! "Helen Brooks pens a superb story with rich characters, sparkling interplay and a riveting emotional conflict." –Romantic Times

Name: Cody James Age: 30 Occupation: Rancher Looking for:A wife and mother for my children. The Yellow Rose Matchmakers claimed to be able to match any woman with her Mr. Right. And Emily couldn't deny that the man she'd been matched with, Cody James, sounded perfect–on paper, at least. The reality was even better–the tall, sexy cowboy took Emily Kirkwood's breath away. Too bad that Emily hadn't joined the Yellow Rose to find a man but to write a Valentine's story on…well…how to get a man. Only, Cody was available… and perhaps what this story needed was a little in-depth research! Texas Grooms Wanted! Only cowboys need apply!

This book is your guide to exploring the possibilities in the field of deep learning, making use of Google's TensorFlow. You will learn about convolutional neural networks, and logistic regression while training models for deep learning to gain key insights into your data. About This Book ? Explore various possibilities with deep learning and gain amazing insights from data using Google’s brainchild-- TensorFlow ? Want to learn what more can be done with deep learning? Explore various neural networks with the help of this comprehensive guide ? Rich in concepts, advanced guide on deep learning that will give you background to innovate in your environment Who This Book Is For If you are a data scientist who performs machine learning on a regular basis, are familiar with deep neural networks, and now want to gain expertise in working with convoluted neural networks, then this book is for you. Some familiarity with C++ or Python is assumed. What You Will Learn ? Set up your computing environment and install TensorFlow ? Build simple TensorFlow graphs for everyday computations ? Apply logistic regression for classification with TensorFlow ? Design and train a multilayer neural network with TensorFlow ? Intuitively understand convolutional neural networks for image recognition ? Bootstrap a neural network from simple to more accurate models ? See how to use TensorFlow with other types of networks ? Program networks with SciKit-Flow, a high-level interface to TensorFlow In Detail Dan Van Boxel’s Deep Learning with TensorFlow is based on Dan’s best-selling TensorFlow video course. With deep learning going mainstream, making sense of data and getting accurate results using deep networks is possible. Dan Van Boxel will be your guide to exploring the possibilities with deep learning; he will enable you to understand data like never before. With the efficiency and simplicity of TensorFlow, you will be able to process your data and gain insights that will change how you look at data. With Dan’s guidance, you will dig deeper into the hidden layers of abstraction using raw data. Dan then shows you various complex algorithms for deep learning and various examples that use these deep neural networks. You will also learn how to train your machine to craft new features to make sense of deeper layers of data. In this book, Dan shares his knowledge across topics such as logistic regression, convolutional neural networks, recurrent neural networks, training deep networks, and high level interfaces. With the help of novel practical examples, you will become an ace at advanced multilayer networks, image recognition, and beyond. Style and Approach This book is your go-to guide to becoming a deep learning expert in your organization. Dan helps you evaluate common and not-so-common deep neural networks with the help of insightful examples that you can relate to, and show how they can be exploited in the real world with complex raw data.

This unique book provides you with a wealth of tips, tricks, best practices, and answers to the day-to-day questions that programmers face in their careers. It is split into three parts: Coder Skills, Freelancer Skills, and Career Skills, providing the knowledge you need to get ahead in programming. About This Book ? Over 50 essays with practical advice on improving your programming career ? Practical focus gives solutions to common problems, and methods to become a better coder ? Includes advice for existing programmers and those wanting to begin a career in programming Who This Book Is For This book is useful for programmers of any ability or discipline. It has advice for those thinking about beginning a career in programming, those already working as a fully employed programmer, and for those working as freelance developers. What You Will Learn ? Improve your soft skills to become a better and happier coder ? Learn to be a better developer ? Grow your freelance development business ? Improve your development career ? Learn the best approaches to breaking down complex topics ? Have the confidence to charge what you're worth as a freelancer ? Succeed in developer job interviews In Detail This is an all-purpose toolkit for your programming career. It has been built by Jordan Hudgens over a lifetime of coding and teaching coding. It helps you identify the key questions and stumbling blocks that programmers encounter, and gives you the answers to them! It is a comprehensive guide containing more than 50 insights that you can use to improve your work, and to give advice in your career. The book is split up into three topic areas: Coder Skills, Freelancer Skills, and Career Skills, each containing a wealth of practical advice. Coder Skills contains advice for people starting out, or those who are already working in a programming role but want to improve their skills. It includes such subjects as: how to study and understand complex topics, and getting past skill plateaus when learning new languages. Freelancer Skills contains advice for developers working as freelancers or with freelancers. It includes such subjects as: knowing when to fire a client, and tips for taking over legacy applications. Career Skills contains advice for building a successful career as a developer. It includes such subjects as: how to improve your programming techniques, and interview guides and developer salary negotiation strategies. Style and approach This unique book provides over 50 insightful essays full of practical advice for improving your programming career. The book is split into three broad sections covering different aspects of a developer's career. Each essay is self-contained and can be read individually, or in chunks.