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Liz Talbot thinks she's seen another ghost when she meets Calista McQueen. She's the spitting image of Marilyn Monroe. Born precisely fifty years after the ill-fated star, Calista's life has eerily mirrored the late starlet's--and she fears the looming anniversary of Marilyn's death will also be hers. Before Liz can open a case file, Calista's life coach is executed. Suspicious characters swarm around Calista like mosquitoes on a sultry lowcountry evening: her certifiable mother, a fake aunt, her control-freak psychoanalyst, a private yoga instructor, her peculiar housekeeper, and an obsessed ex-husband. Liz digs in to find a motive for murder, but she's besieged with distractions. Her ex has marriage and babies on his mind. Her too-sexy partner engages in a campaign of repeat seduction. Mamma needs help with Daddy's devotion to bad habits. And a gang of wild hogs is running loose on Stella Maris. With the heat index approaching triple digits, Liz races to uncover a diabolical murder plot in time to save not only Calista's life, but also her own.
The Charleston streets are dressed for the holidays in sophisticated Southern style: topiaries adorned with red ribbons, garland entwined with white lights, and poinsettias potted in gold planters. The high class bordello in a stately historic home is certainly no exception. When Private Investigator Liz TalbotU+2019s dear friend Olivia swears she saw a dead body in the parlor of this bordello, one Olivia accidentally co-owns, Liz promptly comes to her aid. With her wedding back home on Stella Maris less than a week away, Liz must juggle one elderly madam, two ex and future in-laws, three ghosts in the bordello, four giddy bridesmaids, five lovely courtesans, six suspicious patrons ... and a partridge in a pear tree as she tries to keep her bridesmaid out of jail and live to walk down the aisle.
1. Don’t sleep around. 2. Don’t kiss and tell. 3. Be nice. 4. Don’t text or call. 5. Don’t fall in love. The rules were simple...until they weren't. I have everything I ever thought I could want: a nice home, a job I love, two beautiful girls, and my husband, Gabe - my high school sweetheart who still rocks my world. If you ask anyone to describe me they would say, "Oh, Mirella? She's such a nice girl." And that’s true...until a mysterious, peculiar man and his beautiful wife enter our lives. Weston and Bridget Hanson are no ordinary couple—they’re stunning, enigmatic, and sexy as hell. During the course of one unexpected evening, my ordinary world is turned upside down. How could it not be when Weston and Bridget propose the unthinkable? And when the unthinkable is so very tempting, giving in becomes inevitable. It sounds so logical and simple. Just five rules and we can all have what we desire. But the heart doesn't follow rules, and now passion, jealousy, and confusion threaten to tear everything apart. Two beautiful couples. Five simple rules. One hot mess.
The essence of perennial Stoic wisdom in aphorisms of stunning insight and simplicity. The West's first and best little instruction book offers thoroughly contemporary and pragmatic reflections on how best to live with serenity and joy.
The role of maths and statistics in the world of web analytics is not clear to many marketers. Not many talk or write about the usage of statistics and data science in conversion optimization. This book has been written to fill this knowledge gap.This expert guide will teach you exactly what you need to know. It will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions which can quickly improve the bottom-line of your online business. Every topic covered in this book has something to do directly with your day to day job. This book covers vital topics on maths and statistics which every internet marketer/web analyst should get familiar with in order to achieve optimum results from their analysis, marketing campaigns and conversion optimization efforts. It explains some of the most useful statistics terms/concepts one by one and will also show you their practical use in web analytics and conversion optimization, so that you can take advantage of them straightaway. "
Master machine learning techniques with R to deliver insights for complex projectsAbout This Book• Get to grips with the application of Machine Learning methods using an extensive set of R packages• Understand the benefits and potential pitfalls of using machine learning methods• Implement the numerous powerful features offered by R with this comprehensive guide to building an independent R-based ML systemWho This Book Is ForIf you want to learn how to use R's machine learning capabilities to solve complex business problems, then this book is for you. Some experience with R and a working knowledge of basic statistical or machine learning will prove helpful.What You Will Learn• Gain deep insights to learn the applications of machine learning tools to the industry• Manipulate data in R efficiently to prepare it for analysis• Master the skill of recognizing techniques for effective visualization of data• Understand why and how to create test and training data sets for analysis• Familiarize yourself with fundamental learning methods such as linear and logistic regression• Comprehend advanced learning methods such as support vector machines• Realize why and how to apply unsupervised learning methodsIn DetailMachine learning is a field of Artificial Intelligence to build systems that learn from data. Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning to your data.The book starts with introduction to Cross-Industry Standard Process for Data Mining. It takes you through Multivariate Regression in detail. Moving on, you will also address Classification and Regression trees. You will learn a couple of “Unsupervised techniques”. Finally, the book will walk you through text analysis and time series.The book will deliver practical and real-world solutions to problems and variety of tasks such as complex recommendation systems. By the end of this book, you will gain expertise in performing R machine learning and will be able to build complex ML projects using R and its packages.Style and approachThis is a book explains complicated concepts with easy to follow theory and real-world, practical applications. It demonstrates the power of R and machine learning extensively while highlighting the constraints.

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