A SEASON FOR LOVE? When he discovered his infant son, Bryan Beaumont was consumed with self-doubt. What did a high-flying executive know about parenting?But compassionate day-care working Laura Bates simply wouldn't allow a disillusioned Bryan to lose faith in himself–or his baby. While Laura knew the good Lord wanted her to help unite father and son, she felt far too vulnerable to open her heart to this dynamic and demanding man. Still, Bryan's tender smile stirred emotions she thought were gone forever. Would the coming season restore her hope for a joyous future? Welcome to Love Inspired?–stories that will lift your spirits and gladden your heart. Meet men and women facing the challenges of today's world and learning important lessons about life, faith and love.

When Cade Randall spotted Abby Moreau again, he couldn't calm the wild beating of his heart. But when he saw the boy beside her, it wasn't the passion of romance and long-lost yearning that swept over him. Instead it was the realization he was a father–and Abby had never told him! A protected teenager, Abby hadn't been able to fight her father–or trust Cade's love. So she'd vowed to raise her child alone. Now Cade demanded they wed–but he never mentioned love. This time should she just trust in Cade?

It was a grand white wedding that would make the society pages the world over–handsome British aristocrat Jarvis Larne was marrying beautiful American oil heiress Meryl Winters. But behind the lavish ceremony, their vows were a sham. Marrying for convenience had been the only way Jarvis could save his estate–and that had hurt his pride. But after the wedding came the wedding night–which exceeded both their expectations! Was their society wedding set to become a marriage for real?

Pediatrician Veronica Powers could handle crying babies and sticky-fingered toddlers without batting an eye, but in her personal life, order reigned supreme. So the beautiful and hardworking doctor was unnerved by her fascination with strong, sexy hospital administrator Ryan Malone–especially since his chaotic life involved three rambunctious kids and an inquisitive mother-in-law. Nevertheless, the single father was wreaking havoc with Ronni's well-ordered notions. And whether she wanted it or not, this man and his family were chipping away at Ronni's guarded heart and changing her mind about marriage!

Her Christmas gift came in a small velvet box… "Isn't it strange how things turn out? A week ago I was virtually jobless, almost homeless, and had totally sworn off men–a sad way to be before Christmas, don't you think? Now I'm not only working for the most gorgeous man alive, but I'm living in his house!" Meet sassy, smiley Sophie Harrington. Read in her own words how a much-needed job brings her up close and personal with rugged bachelor Gabriel York. Although Sophie is hardly a waif or stray, Gabriel ends up taking her in as a temporary lodger in his exclusive London home. How long before he realizes Sophie isn't just for Christmas–but for life…?

A convenient wife… An inconvenient love… Francesca walked into the room and Guy Dymoke was mesmerized. But she was pregnant with Guy's brother's baby. An impossible situation…and Guy had been hiding his feelings ever since. Years later, Francesca is now a widow, and when the will is read she's stunned to discover she's been placed into Guy's safekeeping…as his convenient wife! Guy wants to give Francesca and her son all the care in the world. He also yearns to tell her how much he really loves her. But he'll wait for the day that she gives her love freely in return….

When talk show host Dakota Delany agrees to allow bodyguard Ian Russell to shadow her for two weeks, she doesn't count on constantly battling the drop-dead-gorgeous man who monitors her every move. And she definitely doesn't expect the strong and silent Ian to immediately take hold of not only her safety, but also her heart. Strong-willed, feisty Dakota is hardly Ian's ideal client, but she might just be something more–his perfect match. And it would be more than a ratings triumph if the warring opposites put aside their differences and stopped protecting themselves from their shared fear: true love.

When it came to men, definitely the former. But Abby Saunders was certainly aware that when it came to her boss–and his mysterious, possibly unsavory dealings–it could well be the latter. So when she was introduced to crack crime reporter Logan St. John, she was relieved. After all, it was unlikely that the still-grieving, if gorgeous, widower would be looking for a relationship–and maybe he could help her figure out how much trouble she was really in…. As for Logan, his no-strings-attached connection with Abby was about to hit a snag. Oh, he could see how much danger she was in–spotting danger was his area of expertise, after all. Funny how he completely missed the signs around his heart….

A very public proposal! Gorgeous Sicilian Lorenzo Martelli had proposed to Helen in front of his whole family! How could she say anything other than…yes? Now the Big Day was getting alarmingly close–and the bride-to-be was getting cold feet! The groom, however, was as hot-blooded as ever. He wanted Helen, and Lorenzo always got what he wanted. But would he have to wait until she was ready to be his bride–by choice…?

SINGLE…WITH CHILDREN Running from a bad divorce Emily Major was looking for peace, quiet and a safe new life for her son. She was not looking for love, not even from a walking, talking cowboy fantasy like her new neighbor…. But rancher Adam Winchester was used to getting his way, especially when it came to women. With sweet talk and persistence, this hard-as-nails single father was determined to win Emily's heart–come hell, high water or…teenagers. With their kids wreaking havoc on romance, could they be lovers and family? Just how far was Adam willing to go to make the land–and the woman–his?

Described as the Irish John Peel, Dave Fanning has been a major player in the Irish and global music scene for over 30 years. In this compelling memoir, RTE Radio 2 DJ Dave Fanning will give the behind-the-scenes story of all the international musicians he has met, including The Rolling Stones, The Beatles, David Bowie, The Who and many, many more. Dave's story starts in the 60s, when he discovered his love for Bob Dylan, Joni Mitchell, Leonard Cohen and of course, The Beatles through the family sub*ion to the NME. This was to be his first glimpse of a world he would soon become an important part of. Graduating from pirate radio and a stint as Editor of Scene magazine, Dave joined RTE radio 2 when it launched in 1973, and quickly became the voice of a generation. Billboard magazine hailed him as the man solely responsible for the growth of Ireland's music industry. Renowned for supporting young, new Irish talent, Dave Fanning will detail the unique story of his role in the launch of U2 and his ongoing friendship with the band, delving into their humble beginnings and rise to fame. Including never-before-seen photographs and images from Dave's huge personal collection, this is an absolute must-have for any music fan and will be a significant contribution to the history of music.

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.

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.

Learn everything you need to build highly scalable, robust web applications using Angular release 4 About This Book ? Apply best practices and design patterns to achieve higher scalability in your Angular applications ? Understand the latest features of Angular and create your own components ? Get acquainted with powerful, advanced techniques in Angular to build professional web applications Who This Book Is For This book is for JavaScript developers with some prior exposure to Angular, at least through basic examples. We assume that you’ve got working knowledge of HTML, CSS, and JavaScript. What You Will Learn ? Implement asynchronous programming using Angular ? Beautify your application with the UI components built to the material design specification ? Secure your web application from unauthorized users ? Create complex forms, taking full advantage of 2-way data binding ? Test your Angular applications using the Jasmine and Protractor frameworks for better efficiency ? Learn how to integrate Angular with Bootstrap to create compelling web applications ? Use Angular built-in classes to apply animation in your app In Detail Got some experience of Angular under your belt? Want to learn everything about using advanced features for developing websites? This book is everything you need for the deep understanding of Angular that will set you apart from the developer crowd. Angular has introduced a new way to build applications. Creating complex and rich web applications, with a lighter resource footprint, has never been easier or faster. Angular is now at release 4, with significant changes through previous versions. This book has been written and tested for Angular release 4. Angular is a mature technology, and you'll likely have applications built with earlier versions. This book starts by showing you best practices and approaches to migrating your existing Angular applications so that you can be immediately up-to-date. You will take an in-depth look at components and see how to control the user journey in your applications by implementing routing and navigation. You will learn how to work with asynchronous programming by using Observables. To easily build applications that look great, you will learn all about template syntax and how to beautify applications with Material Design. Mastering forms and data binding will further speed up your application development time. Learning about managing services and animations will help you to progressively enhance your applications. Next you’ll use native directives to integrate Bootstrap with Angular. You will see the best ways to test your application with the leading options such as Jasmine and Protractor. At the end of the book, you’ll learn how to apply design patterns in Angular, and see the benefits they will bring to your development. Style and approach This book provides comprehensive coverage of all aspects of development with Angular. You will learn about all the most powerful Angular concepts, with examples and best practices. This book is everything you need for the deep understanding of Angular that will set you apart from the developer crowd.

Develop deep neural networks in Theano with practical code examples for image classification, machine translation, reinforcement agents, or generative models. About This Book ? Learn Theano basics and evaluate your mathematical expressions faster and in an efficient manner ? Learn the design patterns of deep neural architectures to build efficient and powerful networks on your datasets ? Apply your knowledge to concrete fields such as image classification, object detection, chatbots, machine translation, reinforcement agents, or generative models. Who This Book Is For This book is indented to provide a full overview of deep learning. From the beginner in deep learning and artificial intelligence, to the data scientist who wants to become familiar with Theano and its supporting libraries, or have an extended understanding of deep neural nets. Some basic skills in Python programming and computer science will help, as well as skills in elementary algebra and calculus. What You Will Learn ? Get familiar with Theano and deep learning ? Provide examples in supervised, unsupervised, generative, or reinforcement learning. ? Discover the main principles for designing efficient deep learning nets: convolutions, residual connections, and recurrent connections. ? Use Theano on real-world computer vision datasets, such as for digit classification and image classification. ? Extend the use of Theano to natural language processing tasks, for chatbots or machine translation ? Cover artificial intelligence-driven strategies to enable a robot to solve games or learn from an environment ? Generate synthetic data that looks real with generative modeling ? Become familiar with Lasagne and Keras, two frameworks built on top of Theano In Detail This book offers a complete overview of Deep Learning with Theano, a Python-based library that makes optimizing numerical expressions and deep learning models easy on CPU or GPU. The book provides some practical code examples that help the beginner understand how easy it is to build complex neural networks, while more experimented data scientists will appreciate the reach of the book, addressing supervised and unsupervised learning, generative models, reinforcement learning in the fields of image recognition, natural language processing, or game strategy. The book also discusses image recognition tasks that range from simple digit recognition, image classification, object localization, image segmentation, to image captioning. Natural language processing examples include text generation, chatbots, machine translation, and question answering. The last example deals with generating random data that looks real and solving games such as in the Open-AI gym. At the end, this book sums up the best -performing nets for each task. While early research results were based on deep stacks of neural layers, in particular, convolutional layers, the book presents the principles that improved the efficiency of these architectures, in order to help the reader build new custom nets. Style and approach It is an easy-to-follow example book that teaches you how to perform fast, efficient computations in Python. Starting with the very basics-NumPy, installing Theano, this book will take you to the smooth journey of implementing Theano for advanced computations for machine learning and deep learning.

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.

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?

"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.