Your hands-on reference guide to developing, training, and optimizing your machine learning models Key Features * Your guide to learning efficient machine learning processes from scratch * Explore expert techniques and hacks for a variety of machine learning concepts * Write effective code in R, Python, Scala, and Spark to solve all your machine learning problems Book Description Machine learning makes it possible to learn about the unknowns and gain hidden insights into your datasets by mastering many tools and techniques. This book guides you to do just that in a very compact manner. After giving a quick overview of what machine learning is all about, Machine Learning Quick Reference jumps right into its core algorithms and demonstrates how they can be applied to real-world scenarios. From model evaluation to optimizing their performance, this book will introduce you to the best practices in machine learning. Furthermore, you will also look at the more advanced aspects such as training neural networks and work with different kinds of data, such as text, time-series, and sequential data. Advanced methods and techniques such as causal inference, deep Gaussian processes, and more are also covered. By the end of this book, you will be able to train fast, accurate machine learning models at your fingertips, which you can easily use as a point of reference. What you will learn * Get a quick rundown of model selection, statistical modeling, and cross-validation * Choose the best machine learning algorithm to solve your problem * Explore kernel learning, neural networks, and time-series analysis * Train deep learning models and optimize them for maximum performance * Briefly cover Bayesian techniques and sentiment analysis in your NLP solution * Implement probabilistic graphical models and causal inferences * Measure and optimize the performance of your machine learning models Who this book is for If you’re a machine learning practitioner, data scientist, machine learning developer, or engineer, this book will serve as a reference point in building machine learning solutions. You will also find this book useful if you’re an intermediate machine learning developer or data scientist looking for a quick, handy reference to all the concepts of machine learning. You’ll need some exposure to machine learning to get the best out of this book.

Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras Key Features * Get to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and Keras * Implement advanced concepts and popular machine learning algorithms in real-world projects * Build analytics, computer vision, and neural network projects Book Description Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects. The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you’ll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you’ll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you’ll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you’ll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. By the end of this book, you’ll be able to analyze data seamlessly and make a powerful impact through your projects. What you will learn * Understand the Python data science stack and commonly used algorithms * Build a model to forecast the performance of an Initial Public Offering (IPO) over an initial discrete trading window * Understand NLP concepts by creating a custom news feed * Create applications that will recommend GitHub repositories based on ones you’ve starred, watched, or forked * Gain the skills to build a chatbot from scratch using PySpark * Develop a market-prediction app using stock data * Delve into advanced concepts such as computer vision, neural networks, and deep learning Who this book is for This book is for machine learning practitioners, data scientists, and deep learning enthusiasts who want to take their machine learning skills to the next level by building real-world projects. The intermediate-level guide will help you to implement libraries from the Python ecosystem to build a variety of projects addressing various machine learning domains. Knowledge of Python programming and machine learning concepts will be helpful.

Big data processing and analytics at speed and scale using command line tools. Key Features * Perform string processing, numerical computations, and more using CLI tools * Understand the essential components of data science development workflow * Automate data pipeline scripts and visualization with the command line Book Description The Command Line has been in existence on UNIX-based OSes in the form of Bash shell for over 3 decades. However, very little is known to developers as to how command-line tools can be OSEMN (pronounced as awesome and standing for Obtaining, Scrubbing, Exploring, Modeling, and iNterpreting data) for carrying out simple-to-advanced data science tasks at speed. This book will start with the requisite concepts and installation steps for carrying out data science tasks using the command line. You will learn to create a data pipeline to solve the problem of working with small-to medium-sized files on a single machine. You will understand the power of the command line, learn how to edit files using a text-based and an. You will not only learn how to automate jobs and scripts, but also learn how to visualize data using the command line. By the end of this book, you will learn how to speed up the process and perform automated tasks using command-line tools. What you will learn * Understand how to set up the command line for data science * Use AWK programming language commands to search quickly in large datasets. * Work with files and APIs using the command line * Share and collect data with CLI tools * Perform visualization with commands and functions * Uncover machine-level programming practices with a modern approach to data science Who this book is for This book is for data scientists and data analysts with little to no knowledge of the command line but has an understanding of data science. Perform everyday data science tasks using the power of command line tools.

Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python Key Features * A go-to guide to help you master AI algorithms and concepts * 8 real-world projects tackling different challenges in healthcare, e-commerce, and surveillance * Use TensorFlow, Keras, and other Python libraries to implement smart AI applications Book Description This book will be a perfect companion if you want to build insightful projects from leading AI domains using Python. The book covers detailed implementation of projects from all the core disciplines of AI. We start by covering the basics of how to create smart systems using machine learning and deep learning techniques. You will assimilate various neural network architectures such as CNN, RNN, LSTM, to solve critical new world challenges. You will learn to train a model to detect diabetic retinopathy conditions in the human eye and create an intelligent system for performing a video-to-text translation. You will use the transfer learning technique in the healthcare domain and implement style transfer using GANs. Later you will learn to build AI-based recommendation systems, a mobile app for sentiment analysis and a powerful chatbot for carrying customer services. You will implement AI techniques in the cybersecurity domain to generate Captchas. Later you will train and build autonomous vehicles to self-drive using reinforcement learning. You will be using libraries from the Python ecosystem such as TensorFlow, Keras and more to bring the core aspects of machine learning, deep learning, and AI. By the end of this book, you will be skilled to build your own smart models for tackling any kind of AI problems without any hassle. What you will learn * Build an intelligent machine translation system using seq-2-seq neural translation machines * Create AI applications using GAN and deploy smart mobile apps using TensorFlow * Translate videos into text using CNN and RNN * Implement smart AI Chatbots, and integrate and extend them in several domains * Create smart reinforcement, learning-based applications using Q-Learning * Break and generate CAPTCHA using Deep Learning and Adversarial Learning Who this book is for This book is intended for data scientists, machine learning professionals, and deep learning practitioners who are ready to extend their knowledge and potential in AI. If you want to build real-life smart systems to play a crucial role in every complex domain, then this book is what you need. Knowledge of Python programming and a familiarity with basic machine learning and deep learning concepts are expected to help you get the most out of the book

Power up your network applications with Python programming Key Features * Master Python skills to develop powerful network applications * Grasp the fundamentals and functionalities of SDN * Design multi-threaded, event-driven architectures for echo and chat servers Book Description This Learning Path highlights major aspects of Python network programming such as writing simple networking clients, creating and deploying SDN and NFV systems, and extending your network with Mininet. You’ll also learn how to automate legacy and the latest network devices. As you progress through the chapters, you’ll use Python for DevOps and open source tools to test, secure, and analyze your network. Toward the end, you'll develop client-side applications, such as web API clients, email clients, SSH, and FTP, using socket programming. By the end of this Learning Path, you will have learned how to analyze a network's security vulnerabilities using advanced network packet capture and analysis techniques. This Learning Path includes content from the following Packt products: * Practical Network Automation by Abhishek Ratan * Mastering Python Networking by Eric Chou * Python Network Programming Cookbook, Second Edition by Pradeeban Kathiravelu, Dr. M. O. Faruque Sarker What you will learn * Create socket-based networks with asynchronous models * Develop client apps for web APIs, including S3 Amazon and Twitter * Talk to email and remote network servers with different protocols * Integrate Python with Cisco, Juniper, and Arista eAPI for automation * Use Telnet and SSH connections for remote system monitoring * Interact with websites via XML-RPC, SOAP, and REST APIs * Build networks with Ryu, OpenDaylight, Floodlight, ONOS, and POX * Configure virtual networks in different deployment environments Who this book is for If you are a Python developer or a system administrator who wants to start network programming, this Learning Path gets you a step closer to your goal. IT professionals and DevOps engineers who are new to managing network devices or those with minimal experience looking to expand their knowledge and skills in Python will also find this Learning Path useful. Although prior knowledge of networking is not required, some experience in Python programming will be helpful for a better understanding of the concepts in the Learning Path.

A hands on approach to learning ReasonML from the perspective of a web developer. Key Features * Hands on learning by building a real world app shell that includes client-side routing and more. * Understand Reason’s ecosystem including BuckleScript and various npm workflows. * Learn how Reason differs from TypeScript and Flow, and how to use it to make refactoring less stressful. Book Description ReasonML, also known as Reason, is a new syntax and toolchain for OCaml that was created by Facebook and is meant to be approachable for web developers. Although OCaml has several resources, most of them are from the perspective of systems development. This book, alternatively, explores Reason from the perspective of web development. You'll learn how to use Reason to build safer, simpler React applications and why you would want to do so. Reason supports immutability by default, which works quite well in the context of React. In learning Reason, you will also learn about its ecosystem – BuckleScript, JavaScript interoperability, and various npm workflows. We learn by building a real-world app shell, including a client-side router with page transitions, that we can customize for any Reason project. You'll learn how to leverage OCaml's excellent type system to enforce guarantees about business logic, as well as preventing runtime type errors.You'll also see how the type system can help offload concerns that we once had to keep in our heads. We'll explore using CSS-in-Reason, how to use external JSON in Reason, and how to unit-test critical business logic. By the end of the book, you'll understand why Reason is exploding in popularity and will have a solid foundation on which to continue your journey with Reason. What you will learn * Learn why Reason is exploding in popularity and why it's the future of React * Become familiar with Reason's syntax and semantics * Learn about Reason's ecosystem: BuckleScript and JavaScript interoperability * Learn how to build React applications with Reason * Learn how to use Reason's type system as a tool to provide amazing guarantees * Gain a solid foundation on which to continue your journey Who this book is for The target audience of this book is web developers who are somewhat familiar with ReactJS and who want to learn why ReasonML is the future of ReactJS.

Test, fuzz, and break web applications and services using Burp Suite’s powerful capabilities Key Features * Master the skills to perform various types of security tests on your web applications * Get hands-on experience working with components like scanner, proxy, intruder and much more * Discover the best-way to penetrate and test web applications Book Description Burp suite is a set of graphic tools focused towards penetration testing of web applications. Burp suite is widely used for web penetration testing by many security professionals for performing different web-level security tasks. The book starts by setting up the environment to begin an application penetration test. You will be able to configure the client and apply target whitelisting. You will also learn to setup and configure Android and IOS devices to work with Burp Suite. The book will explain how various features of Burp Suite can be used to detect various vulnerabilities as part of an application penetration test. Once detection is completed and the vulnerability is confirmed, you will be able to exploit a detected vulnerability using Burp Suite. The book will also covers advanced concepts like writing extensions and macros for Burp suite. Finally, you will discover various steps that are taken to identify the target, discover weaknesses in the authentication mechanism, and finally break the authentication implementation to gain access to the administrative console of the application. By the end of this book, you will be able to effectively perform end-to-end penetration testing with Burp Suite. What you will learn * Set up Burp Suite and its configurations for an application penetration test * Proxy application traffic from browsers and mobile devices to the server * Discover and identify application security issues in various scenarios * Exploit discovered vulnerabilities to execute commands * Exploit discovered vulnerabilities to gain access to data in various datastores * Write your own Burp Suite plugin and explore the Infiltrator module * Write macros to automate tasks in Burp Suite Who this book is for If you are interested in learning how to test web applications and the web part of mobile applications using Burp, then this is the book for you. It is specifically designed to meet your needs if you have basic experience in using Burp and are now aiming to become a professional Burp user.

Twenty-five beautifully written stories, penned in exile, evocatively depicting life on a manor in feudal Russia and examining the conflicts between serfs and landlordsA Sportsman’s Notebook, Ivan Turgenev’s first literary masterpiece, is a sweeping portrayal of the magnificent nineteenth–century Russian countryside and the harsh lives of those who inhabited it. In a powerful and gripping series of sketches, a hunter wanders through the vast landscape of steppe and forest in search of game, encountering a varied cast of peasants, landlords, bailiffs, overseers, horse traders, and merchants. He witnesses both feudal tyranny and the submission of the tyrannized, against a backdrop of the sublime and pitiless terrain of rural Russia.These exquisitely rendered stories, now with a stirring introduction from Daniyal Mueenuddin, were not only universally popular with the reading public but, through the influence they exerted on important members of the Tsarist bureaucracy, contributed to the major political event of mid–nineteenth–century Russia: the Great Emancipation of the serfs in 1861. Rarely has a book that offers such undiluted literary pleasure also been so strong a force for significant social change, one that continues to speak to readers centuries later.

An engrossing debut novel that cannily reimagines the extraordinary life and mysterious death of bohemian Georgetown socialite Mary Pinchot Meyer— secret lover of JFK, ex-wife of a CIA chief, sexual adventurer, LSD explorer and early feminist living by her own rules.She was a longtime lover of JFK.She was the ex-wife of a CIA chief. She was the sister-in-law of the Washington Post’s Ben Bradlee.She believed in mind expansion and took LSD with Timothy Leary. She was a painter, a socialite and a Bohemian in Georgetown during the Cold War.And she ended up dead in an unsolved murder a year after JFK’s assassination.The diary she kept was never found.Until now. . . .

Winner of the New Mexico-Arizona Book Award for Historical FictionA Paperback OriginalFrom the author of A Dangerous Duet comes the next book in her Victorian mystery series, this time following a daring female painter and the Scotland Yard detective who is investigating her brother’s suspicious death.A young painter digs beneath the veneer of Victorian London’s art world to learn the truth behind her brother’s murder... Edwin is dead. That’s what Inspector Matthew Hallam of Scotland Yard tells Annabel Rowe when she discovers him searching her brother’s flat for clues. While the news is shocking, Annabel can’t say it’s wholly unexpected, given Edwin’s past as a dissolute risk-taker and art forger, although he swore he’d reformed. After years spent blaming his reckless behavior for their parents’ deaths, Annabel is now faced with the question of who murdered him—because Edwin’s death was both violent and deliberate. A valuable French painting he’d been restoring for an auction house is missing from his studio: find the painting, find the murderer. But the owner of the artwork claims it was destroyed in a warehouse fire years ago.As a painter at the prestigious Slade School of Art and as Edwin’s closest relative, Annabel makes the case that she is crucial to Matthew’s investigation. But in their search for the painting, Matthew and Annabel trace a path of deceit and viciousness that reaches far beyond the elegant rooms of the auction house, into an underworld of politics, corruption, and secrets someone will kill to keep.    

NEW YORK TIMES BESTSELLERLegendary Navajo policeman Lieutenant Joe Leaphorn takes center stage in this riveting atmospheric mystery from New York Times bestselling author Anne Hillerman that combines crime, superstition, and tradition and brings the desert Southwest vividly alive.Joe Leaphorn may have retired from the Tribal Police, but he finds himself knee-deep in a perplexing case involving a priceless artifact＆#8212;a reminder of a dark time in Navajo history. Joe＆#8217;s been hired to find a missing biil, a traditional dress that had been donated to the Navajo Nation. His investigation takes a sinister turn when the leading suspect dies under mysterious circumstances and Leaphorn himself receives anonymous warnings to beware＆#8212;witchcraft is afoot.While the veteran detective is busy working to untangle his strange case, his former colleague Jim Chee and Officer Bernie Manuelito are collecting evidence they hope will lead to a cunning criminal behind a rash of burglaries. Their case takes a complicated turn when Bernie finds a body near a popular running trail. The situation grows more complicated when the death is ruled a homicide, and the Tribal cops are thrust into a turf battle because the murder involves the FBI. As Leaphorn, Chee, and Bernie draw closer to solving these crimes, their parallel investigations begin to merge . . . and offer an unexpected opportunity that opens a new chapter in Bernie＆#8217;s life.

The first entry in a clever, lighthearted mystery series set in modern Provence—a delightful blend of Agatha Christie and Peter Mayle—featuring the irrepressible Penelope Kite, a young-at-heart divorcee with a knack for stumbling across dead bodies.It’s love at first sight when Penelope Kite sees Le Chant d’Eau—The Song of Water—the stone farmhouse tucked high in the hills above the Luberon valley, complete with a garden, swimming pool, and sweeping mountain vistas. For years, Penelope put her unfaithful ex-husband and her ungrateful stepchildren first. Since taking early retirement from her job in forensics at the Home Office in England, she’s been an unpaid babysitter and chauffeur for her grandchildren. Now, she’s going to start living for herself. Though her dream house needs major renovations, Penelope impulsively buys the property and moves to St. Merlot. But Penelope’s daydreams of an adventurous life in Provence didn’t include finding a corpse floating face down in her swimming pool. The discovery of the dead man plunges her headlong into a Provençal stew of intrigue and lingering resentments simmering beneath the deceptively sunny village. Having worked in the forensics office, Penelope knows a thing or two about murder investigations. To find answers, she must carefully navigate between her seemingly ubiquitous, supercilious (and enviably chic) estate agent, the disdainful chief of police, and the devilishly handsome mayor—even as she finds herself tempted by all the delicacies the region has to offer. Thank goodness her old friend Frankie is just a flight away . . . and that Penelope is not quite as naïve as her new neighbors in St. Merlot believe.Set against the exquisite backdrop of Provence, steeped in history, atmosphere, and secrets, Death in Provence introduces an irresistible heroine and a delightful new mystery series.

When Amelia Allenby escaped a stifling London ballroom for the quiet solitude of the Derbyshire countryside, the very last thing she wanted was an extremely large, if—she grudgingly admits—passably attractive man disturbing her daily walks. Lecturing the surveyor about property rights doesn’t work and, somehow, he has soon charmed his way into lemon cakes, long walks, and dangerously heady kisses.The very last place Sydney wished to be was in the shadow of the ruins of Pelham Hall, the inherited property that stole everything from him. But as he awaits his old friend, the Duke of Hereford, he finds himself increasingly captivated by the maddeningly lovely and exceptionally odd Amelia. He quickly finds that keeping his ownership of Pelham Hall a secret is as impossible as keeping himself from falling in love with her.But when the Duke of Hereford arrives, Sydney’s ruse is revealed and what started out as a delicate deception has become a love too powerful to ignore. Will they let a lifetime of hurt come between them or can these two lost souls find love and peace in each other?

The intriguing futuristic dystopian story begun with The Lost Puzzler continues in this expansive speculative science fiction adventure.There is nothing out of the ordinary in waking up . . . unless you’re dead.Sent on a dangerous mission with little hope of succeeding, the man known as “Twinkle Eyes” has beaten the odds and found the key that could save civilization: Rafik, a teenage boy with the power to unlock the invaluable Tarakan technology that can restart their world. But the world might not be ready for what is unleashed, and now Twinkle Eyes must find a needle in a haystack in order to save himself . . . and perhaps the world.This time, though, he will not go it alone. And while his companions—from the fiery Vincha to the laconic Galinak—have their own motivations, each will be vital in solving the last grand puzzle. One that could bring prosperity and progress to the world or destroy humanity’s last hope for ascension.Now, a lone assassin from another era, two old friends, a dead man, a ruthless rogue mercenary, and a vicious warlord are all hunting for the ultimate prize. But what will happen when the final secret is unlocked, and technology long since buried once again finds its way into the hands of mankind?

Now a National Bestseller!What if the Russians really are colluding with Americans...on the left?#1 New York Times bestselling author Newt Gingrich makes his return to political fiction with this rollicking tale of high-stakes international intrigue—the first book in a new, contemporary series, filled with adventure, betrayal, and politics—that captures the tensions and divides of America and the world today. Valerie Mayberry is the FBI’s counterintelligence expert on domestic terrorism.Brett Garrett is a dishonorably discharged ex-Navy SEAL, now a gun for hire, working as a security contractor in Eastern Europe. When a high ranking Kremlin official must be smuggled out of Russia, Mayberry and Garrett are thrown together to exfiltrate him and preempt a deadly poisonous strike.As these unlikely partners work to protect their human asset, their mission is threatened by domestic politics: leftist protests, congressional infighting, and a culture riven by hatred. Collusion raises many of the most significant issues facing America in real life today. How big a threat is Russia? Are American leftist activists susceptible to influence from abroad? How far will our enemies go to disrupt our politics and weaken the nation? Can we trust the media to differentiate between the good guys and the bad guys? Newt Gingrich and Pete Earley have entertained and educated readers with three previous works. From its explosive opening through several twists and turns to its heart-stopping end, Collusion is their most timely and powerful novel yet.

"纽约时报畅销书，巴诺书店年度图书，多家网站、媒体评价年度小说 《Since We Fell》的作者丹尼斯·勒翰也十分令人期待，他创作的多部作品均被改编为电影，如克林特·伊斯特伍德执导，西恩·潘主演的《神秘河》，马丁·西科塞斯执导，莱奥纳多·迪卡普里奥主演的《禁闭岛》，还有本·阿弗莱克执导并主演的《夜色人生》等等，这些作品以复杂的人性，悬疑惊悚的剧情和反转见长，既给人酣畅淋漓的故事体验，又引人深思。 《Since We Fell》保留了作者的一贯水准，讲述了瑞秋·查尔兹的故事，精神崩溃的瑞秋一直生活在自我封闭中，然而，无论怎么看她其实都拥有这完美的家庭。 直到一个下雨的午后，一次偶然的邂逅使她的生活和婚姻支离破碎，她被卷入一场充满欺骗、暴力，甚至可能是疯狂的阴谋中，她必须找到自己内在的力量来征服难以想象的恐惧和事件的真相。 NEW YORK TIMES BESTSELLER Barnes and Noble Best Book of the YearBookpage Best of 2017Booklist Best Crime NovelPopSugar Best Book of 2017The new novel from New York Times bestseller Dennis Lehane, author of Mystic River and Shutter Island“Lehane is the master of complex human characters thrust into suspenseful, page-turning situations.” —Gillian FlynnSince We Fell follows Rachel Childs, a former journalist who, after an on-air mental breakdown, now lives as a virtual shut-in. In all other respects, however, she enjoys an ideal life with an ideal husband. Until a chance encounter on a rainy afternoon causes that ideal life to fray. As does Rachel’s marriage. As does Rachel herself. Sucked into a conspiracy thick with deception, violence, and possibly madness, Rachel must find the strength within herself to conquer unimaginable fears and mind-altering truths. By turns heart- breaking, suspenseful, romantic, and sophisticated, Since We Fell is a novel of profound psychological insight and tension. It is Dennis Lehane at his very best.

“A twisty, jet-fueled thriller… Don’t miss it!” – Lisa GardnerPacked with the electrifying pacing and pulse-pounding suspense of Harlan Coben and Lisa Gardner, a thrilling debut about a mother desperate to find the connections between her missing husband and a deadly stalker who knows too much about her own dark family history.Driving home one rainy night, Cassie Larkin sees a man and woman fighting on the side of the road. After calling 911, the veterinarian makes a split-second decision that will throw her sedate suburban life into chaos. Against all reason and advice, she gets out of her minivan and chases after the violent man, trying to help his victim. When Cassie physically tries to stop him, he suddenly turns on her and spits out an ominous threat: “Let her die, and I’ll let you live.”A veterinarian trained to heal, Cassie can’t let the woman die. But while she’s examining the unconscious victim, the attacker steals her car. Now he has her name. Her address. And he knows about her children. Though they warn her to be careful, the police assure her that the perpetrator—a criminal named Carver Sweet—won’t get near her. Cassie isn’t so sure. The next day—Halloween—her husband disappears while trick-or-treating with their six-year-old daughter. Are these disturbing events a coincidence or the beginning of a horrifying nightmare? Her husband has been growing distant—is it possible he’s become involved with another woman? Is Cassie’s confrontation with the road-side attacker connected to her husband’s disappearance? With all these questions swirling in her mind Cassie can trust no one, maybe not even herself. The only thing she knows for sure is that she can’t sit back while the people she loves are in danger.As she desperately searches for answers, Cassie discovers that nothing is as random as it seems, and that she is more than willing to fight—to go the most terrifying extremes—to save her family and her marriage.

Renée Knight follows up her international sensation Disclaimer with this shivery tale of psychological suspense, featuring a character as disturbing and compelling as Mrs. Danvers in Daphne Du Maurier’s Rebecca.From her first day as Personal Assistant to the celebrated Mina Appleton, Christine Butcher understands what is expected of her. Absolute loyalty. Absolute discretion. For twenty years, Christine has been a most devoted servant, a silent witness to everything in Mina’s life. So quiet, you would hardly know she is there. Day after day, year after year, Christine has been there, invisible—watching, listening, absorbing all the secrets floating around her. Keeping them safe. Christine is trusted. But those years of loyalty and discretion come with a high price. And eventually Christine will pay.Yet, it would be a mistake to underestimate such a steadfast woman. Because as everyone is about to discover, there’s a dangerous line between obedience and obsession.

If you love Susan Mallery and Jill Shalvis, you won’t want to miss this new novel of second chances, dogs, and knitting, from the author of Pupcakes and Sit! Stay! Speak! Laid off, cheated on, mugged: what else can go wrong in Maeve Stephens’ life? So when she learns her birth mother has left her a house, a vintage VW Beetle, and a marauding cat, in the small town of Timber Creek, Washington, she packs up to discover the truth about her past. She arrives to the sight of a cheerful bulldog abandoned on her front porch, a reclusive but tempting author living next door, and a set of ready-made friends at the St. Francis Society for Wayward Pets, where women knit colorful sweaters for the dogs and cats in their care. But there’s also an undercurrent of something that doesn’t sit right with Maeve. What’s the secret (besides her!) that her mother had hidden?If Maeve is going to make Timber Creek her home, she must figure out where she fits in and unravel the truth about her past. But is she ready to be adopted again—this time, by an entire town…?

Foreword by David Perlmutter, MD, author of Grain BrainThe cult-classic health book, now revised and updated with a quick start cleanse, easy recipes, and more.It’s not news that Americans are sicker than ever. Seventy million of us suffer from digestive problems like acid reflux, irritable bowel syndrome (IBS), or gastro esophageal reflex disorder (GERD). Another forty million have been diagnosed with anxiety and/or depression and a staggering fifty million Americans live with an autoimmune disease. But what is newsworthy is that all of these conditions share a common thread you’ve probably never heard of: candida."Candida" is the term for a group of yeast organisms that have lived in our digestive tract for millennia, in harmony with the other thousands of bacteria, viruses, and archaea that make up our microbiome. But due to poor diets, processed foods, overuse of antibiotics, environmental toxins, and increased stress, our microbiome has been under steady and constant attack for decades. Yeast are of a heartier stock than bacterial microbes, and as bacteria die off, yeast begins to overgrow in the digestive tract, a condition known as candidiasis. Mild and moderate cases of candidiasis present with fatigue, IBS, eczema, depression, brain fog, migraines, and weight gain. Severe cases allow the afflicted to develop autoimmune disease (such as Multiple Sclerosis), cancer, and Alzheimer’s.Ann Boroch’s self-published book, The Candida Cure, has been the #1 resource in candida treatment since 2008. Her program—which she used to heal herself from a life-threatening autoimmune disorder—has stood the test of time, and has become a life-changing resource for more than 65,000 people. Now, in this revised edition,  readers have even more tools, with updated information and case histories, a quick start cleanse, and all-new recipes and eating plans.

Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis. Key Features *Bridge your data analysis with the power of programming, complex algorithms, and AI *Use Python and its extensive libraries to power your way to new levels of data insight *Work with AI algorithms, TensorFlow, graph algorithms, NLP, and financial time series *Explore this modern approach across with key industry case studies and hands-on projects Book Description Data Analysis with Python offers a modern approach to data analysis so that you can work with the latest and most powerful Python tools, AI techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science with the power of programming and algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyze data with hands-on examples using Python-based tools and Jupyter Notebook. You'll find the right balance of theory and practice, with extensive code files that you can integrate right into your own data projects. Explore the power of this approach to data analysis by then working with it across key industry case studies. Four fascinating and full projects connect you to the most critical data analysis challenges you’re likely to meet in today. The first of these is an image recognition application with TensorFlow – embracing the importance today of AI in your data analysis. The second industry project analyses social media trends, exploring big data issues and AI approaches to natural language processing. The third case study is a financial portfolio analysis application that engages you with time series analysis - pivotal to many data science applications today. The fourth industry use case dives you into graph algorithms and the power of programming in modern data science. You'll wrap up with a thoughtful look at the future of data science and how it will harness the power of algorithms and artificial intelligence. What you will learn *A new toolset that has been carefully crafted to meet for your data analysis challenges *Full and detailed case studies of the toolset across several of today’s key industry contexts *Become super productive with a new toolset across Python and Jupyter Notebook *Look into the future of data science and which directions to develop your skills next Who this book is for This book is for developers wanting to bridge the gap between them and data scientists. Introducing PixieDust from its creator, the book is a great desk companion for the accomplished Data Scientist. Some fluency in data interpretation and visualization is assumed. It will be helpful to have some knowledge of Python, using Python libraries, and some proficiency in web development.