“We Set the Dark on Fire burns bright. It will light the way for a new generation of rebels and lovers.” —NPR“Mejia pens a compelling, gripping story that mirrors real world issues of immigration and equality.” —BuzzfeedFive starred reviews!!In this daring and romantic fantasy debut perfect for fans of The Handmaid’s Tale and Latinx authors Zoraida Córdova and Anna-Marie McLemore, society wife-in-training Dani has a great awakening after being recruited by rebel spies and falling for her biggest rival. At the Medio School for Girls, distinguished young women are trained for one of two roles in their polarized society. Depending on her specialization, a graduate will one day run a husband’s household or raise his children. Both paths promise a life of comfort and luxury, far from the frequent political uprisings of the lower class.Daniela Vargas is the school’s top student, but her pedigree is a lie. She must keep the truth hidden or be sent back to the fringes of society.And school couldn’t prepare her for the difficult choices she must make after graduation, especially when she is asked to spy for a resistance group desperately fighting to bring equality to Medio.Will Dani cling to the privilege her parents fought to win for her, or will she give up everything she’s strived for in pursuit of a free Medio—and a chance at a forbidden love?

或许你读过这样一个故事：身无分文的孤儿简 · 爱开始了她在 Thornfield Hall 当家庭教师的新生活，在那里她遇到了阴郁忧郁的罗切斯特先生，两人产生了感情...等等，展开可能与你想的不一样，这一部对名著《简·爱》的一次浪漫、荒诞、恶作剧式的改写，准备好一次全新的冒险吧。 Move over, Charlotte Bront?. The authors of the New York Times bestselling My Lady Jane are back with an irreverent spin on Jane Eyre—a tale of mischief, romance, and supernatural mayhem perfect for fans of The Princess Bride or A Gentleman’s Guide to Vice and Virtue. You may think you know the story. Penniless orphan Jane Eyre begins a new life as a governess at Thornfield Hall, where she meets one dark, brooding Mr. Rochester—and, Reader, she marries him. Or does she?Prepare for an adventure of Gothic proportions, in which all is not as it seems, a certain gentleman is hiding more than skeletons in his closets, and one orphan Jane Eyre, aspiring author Charlotte Bronte, and supernatural investigator Alexander Blackwood are about to be drawn together on the most epic ghost hunt this side of Wuthering Heights.

The opening month of the Great War ending in the Battle of the Marne (6-9 September 1914) was a turning point in modern history. The French and British armies were forced into a long retreat from Belgium but subsequently regrouped to mount a successful counter-attack. However, the miracle of the Marne, as it was later called, ended in the stalemate of the trenches. The failure of the Imperial German Army to achieve a decisive victory led to thirty years of hostility, warfare and destruction, which cost millions of lives. During the retreat to the Marne over a million soldiers marched 20 miles a day carrying 60-lb packs in temperatures above 30 degrees. They were often short of food and only managed short snatches of rest. They fought a series of engagements over two weeks which ended in a battle from the plains of Lorraine to the gates of Paris. This march tested them to the limits of endurance and beyond. In this book Terry Cudbird recreates the experience of the infantry during their gruelling journey. He describes his own August walk from southern Belgium to the battlefield, which followed the exact route taken by a French Lieutenant in the Fifth Army. He draws on a wide range of personal reminiscences, not only French but also British and German. He takes us back to the landscapes of Northern France in 1914 and explains how they have changed since that August one hundred years ago. He also reflects on the soldiers' origins and training, and their morale as they set out. This is not another military history but a unique evocation of the powers of endurance of ordinary soldiers. It will appeal to those interested in the history of the Great War, including readers who want to explore the route of the retreat for themselves.

常识告诉我们，你总是可以选择你对待事件的反应。 但是，正如企业顾问Stephen Klemich和临床心理学家Mara Klemich所主张的那样，除非你意识到自己为什么要做出选择，以及内心和大脑如何共同塑造你的行为，否则你根本无法改变根深蒂固的行为模式，这也就是为什么人们总是会重复自己犯过的错误和消极的行为。本书对此进行了深入的探讨并提出改变的可行办法，让你可以对自己和周围做的世界出积极的影响。 A leadership consultant and neuropsychologist identify the universal habits of the heart and mind—the keys to unlocking our true potential, creating our best selves and?eliminating behavior patterns that hold us back.?Why is it so hard for leaders to coach employees who are struggling? Why do we repeat the same mistakes and negative behaviors? Common wisdom says you always have a choice in how you react or respond. But, as corporate consultant Stephen Klemich and clinical psychologist Mara Klemich contend, until you recognize why you make choices, and how the heart and the brain work together to shape your behavior, you can’t change long-ingrained patterns and discover your best self.The Klemichs have developed a model backed by extensive research and data, and paired it with character-led personal development, to help you answer the "Why?" and eliminate behavior that is “below the line.” In Above the Line, they argue that that the quality of your life flows from the attitudes of your heart. Offering wise, compassionate, and practical advice, this book explores the deep, fundamental drivers of human behavior that exist within your heart—the seat of your character. It reveals that all of these behaviors can be explained by four principles—humility, love, pride, and fear—which influence every facet of your life, for better or for worse.We are all designed for greatness, but so often our best self is pitted against our worst. The pressures of life are pulling our character below the line while our authentic self is drawing us to live above the line. When you fully understand that the four principles are at the root of your behavior, you can begin the journey to become your best self and navigate life more effectively and successfully. Filled with proven strategies, Above the Line will create lasting changes in your behavior and improve your life personally and professionally—so you can make a positive impact on the world around you.

Do you enjoy learning new things? Are you knowledgeable about a wide range of topics? Or perhaps you are a quizmaster looking for new material? Whatever the motivation for buying this quiz book you are sure to like these alphabetically linked questions - all of the answers begin with the same letter and are arranged in sections from A-Z.Containing over 1,100 brain-teasing general knowledge questions, The Alphabetical General Knowledge Quiz Book has been designed to cater for a broad range of abilities and the first letter of each answer is provided to give you a clue if you are on the right lines.Packed full of fascinating facts, this book is both fun and educational, and an excellent tool for learning. Choose a letter at random or work your way through the questions from A-Z. This quiz book offers a good way for the whole family to broaden their general knowledge, so why not challenge your children and find out who is the trivia champion in your house.

“Stitched together with love, this is a story just waiting for your favorite reading chair. With her signature style and skill, Susan Wiggs delivers an intricate patchwork of old wounds and new beginnings, romance and the healing power of friendship, wrapped in a lovely little community that’s hiding a few secrets of its own.”   — Lisa Wingate, New York Times Bestselling author of Before We Were YoursThe #1 New York Times bestselling author brings us her most ambitious and provocative work yet—a searing and timely novel that explores the most volatile issue of our time—domestic violence. At the break of dawn, Caroline Shelby rolls into Oysterville, Washington, a tiny hamlet at the edge of the raging Pacific.She’s come home.Home to a place she thought she’d left forever, home of her heart and memories, but not her future. Ten years ago, Caroline launched a career in the glamorous fashion world of Manhattan. But her success in New York imploded on a wave of scandal and tragedy, forcing her to flee to the only safe place she knows.And in the backseat of Caroline’s car are two children who were orphaned in a single chilling moment—five-year-old Addie and six-year-old Flick. She’s now their legal guardian—a role she’s not sure she’s ready for. But the Oysterville she left behind has changed. Her siblings have their own complicated lives and her aging parents are hoping to pass on their thriving seafood restaurant to the next generation. And there’s Will Jensen, a decorated Navy SEAL who’s also returned home after being wounded overseas. Will and Caroline were forever friends as children, with the promise of something more . . . until he fell in love with Sierra, Caroline’s best friend and the most beautiful girl in town. With her modeling jobs drying up, Sierra, too, is on the cusp of reinventing herself.Caroline returns to her favorite place: the sewing shop owned by Mrs. Lindy Bloom, the woman who inspired her and taught her to sew. There she discovers that even in an idyllic beach town, there are women living with the deepest of secrets. Thus begins the Oysterville Sewing Circle—where women can join forces to support each other through the troubles they keep hidden. Yet just as Caroline regains her creativity and fighting spirit, and the children begin to heal from their loss, an unexpected challenge tests her courage and her heart. This time, though, Caroline is not going to run away. She’s going to stand and fight for everything—and everyone—she loves.

Speed up the design and implementation of deep learning solutions using Apache Spark Key Features * Explore the world of distributed deep learning with Apache Spark * Train neural networks with deep learning libraries such as BigDL and TensorFlow * Develop Spark deep learning applications to intelligently handle large and complex datasets Book Description Deep learning is a subset of machine learning where datasets with several layers of complexity can be processed. Hands-On Deep Learning with Apache Spark addresses the sheer complexity of technical and analytical parts and the speed at which deep learning solutions can be implemented on Apache Spark. The book starts with the fundamentals of Apache Spark and deep learning. You will set up Spark for deep learning, learn principles of distributed modeling, and understand different types of neural nets. You will then implement deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) on Spark. As you progress through the book, you will gain hands-on experience of what it takes to understand the complex datasets you are dealing with. During the course of this book, you will use popular deep learning frameworks, such as TensorFlow, Deeplearning4j, and Keras to train your distributed models. By the end of this book, you'll have gained experience with the implementation of your models on a variety of use cases. What you will learn * Understand the basics of deep learning * Set up Apache Spark for deep learning * Understand the principles of distribution modeling and different types of neural networks * Obtain an understanding of deep learning algorithms * Discover textual analysis and deep learning with Spark * Use popular deep learning frameworks, such as Deeplearning4j, TensorFlow, and Keras * Explore popular deep learning algorithms Who this book is for If you are a Scala developer, data scientist, or data analyst who wants to learn how to use Spark for implementing efficient deep learning models, Hands-On Deep Learning with Apache Spark is for you. Knowledge of the core machine learning concepts and some exposure to Spark will be helpful.

The third action-packed story in Matt Phelan’s acclaimed Knights vs. series! Five daring heroes face their most difficult challenge yet: saving Camelot itself. Can the band of friends survive an evil queen, a powerful Faerie King, and one nasty dragon? This heavily illustrated middle grade adventure is a hilarious tale of derring-do, perfect for reluctant readers as well as fans of The Terrible Two and The Wild Robot. A year has passed since the knights battled monsters on the mist-covered Orkney Isles. The knights have searched high and low for the elusive Queen Morgause, who is bent on destroying King Arthur and all of Camelot. Finally, a tip from the legendary Green Knight sends the heroes searching for the Faerie Realm, an eerie world where nothing is what it seems. Together, the knights will lose an old friend, discover a new ally, face a dangerous dragon, and learn what it means to be a legend. With art on nearly every page, including an epic fight scene depicted in several graphic-novel–style spreads, this engaging story is ideal for reluctant readers, aspiring knights, and action-adventure fans. Camelot may never be the same after these heroes come to the rescue!

Explore powerful Azure DevOps solutions to develop and deploy your software faster and more efficiently. Key Features * Build modern microservice-based systems with Azure architecture * Learn to deploy and manage cloud services and virtual machines * Configure clusters with Azure Service Fabric for deployment Book Description This Learning Path helps you understand microservices architecture and leverage various services of Microsoft Azure Service Fabric to build, deploy, and maintain highly scalable enterprise-grade applications. You will learn to select an appropriate Azure backend structure for your solutions and work with its toolkit and managed apps to share your solutions with its service catalog. As you progress through the Learning Path, you will study Azure Cloud Services, Azure-managed Kubernetes, and Azure Container Services deployment techniques. To apply all that you’ve understood, you will build an end-to-end Azure system in scalable, decoupled tiers for an industrial bakery with three business domains. Toward the end of this Learning Path, you will build another scalable architecture using Azure Service Bus topics to send orders between decoupled business domains with scalable worker roles processing these orders. By the end of this Learning Path, you will be comfortable in using development, deployment, and maintenance processes to build robust cloud solutions on Azure. This Learning Path includes content from the following Packt products: * Learn Microsoft Azure by Mohamed Wali * Implementing Azure Solutions - Second Edition by Florian Klaffenbach, Oliver Michalski, Markus Klein * Microservices with Azure by Namit Tanasseri and Rahul Rai What you will learn * Study various Azure Service Fabric application programming models * Create and manage a Kubernetes cluster in Azure Kubernetes Service * Use site-to-site VPN and ExpressRoute connections in your environment * Design an Azure IoT app and learn to operate it in various scenarios * Implement a hybrid Azure design using Azure Stack * Build Azure SQL databases with Code First Migrations * Integrate client applications with Web API and SignalR on Azure * Implement the Azure Active Directory (Azure AD) across the entire system Who this book is for If you are an IT system architect, network admin, or a DevOps engineer who wants to implement Azure solutions for your organization, this Learning Path is for you. Basic knowledge of the Azure Cloud platform will be beneficial.

Diary of a Wimpy Kid meets Percy Jackson in Odd Gods, the critically acclaimed and hilarious illustrated series about the middle school gods you never hear about in myths. In book two, Oddonis must embark on the strangest odyssey ever to save Zeus from the world’s cutest curse. Sometimes it feels like Oddonis can’t do anything right. Especially compared to his literally perfect twin brother, Adonis. But this time, Oddonis has really messed up by accidentally turning his father, the all-powerful king of the gods, Zeus, into a giant baby. Now it’s up to Oddonis to assemble a team of his odd friends—Mathena, Gaseous, and Puneous—and journey to the underworld to get the curse reversed. Along the way, Oddonis will have to overcome a series of dangerous obstacles, his obnoxious brother, his own self-doubt, and the horrible scents of his best friend Gaseous.Can Gods as unlikely, unusual, and unheroic as Oddonis and his friends really save the day?Get ready to overcome the odds in the second hilarious book about the Odd Gods from author David Slavin, filled with dozens of black-and-white illustrations by award-winning artist Adam Lane. 

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.

Patricia MacLachlan, beloved author of the Newbery Medal-winning Sarah, Plain and Tall, has crafted another lyrical and touching novel for young readers about finding hope after the loss of a loved one.Declan O’Brien always had a gentle word to share, odd phrases he liked to repeat, and songs to sing while he played basketball. His favorite song was "Dona Nobis Pacem," “Grant Us Peace.” His family loved him deeply and always knew they were loved in return.But a terrible accident one day changes their lives forever, and Fiona and Finn O’Brien are left without a father. Their mother is at a loss. What words are there to guide them through such overwhelming grief?At the suggestion of their friend Luke, Fiona and Finn volunteer at an animal rescue shelter, where they meet two sweet dogs who are in need of comfort, too. Perhaps with time, patience, and their father’s gentle words in their hearts, hope will spark once more.* Junior Library Guild Selection * Bank Street Best Children's Book of the Year 2019 (9-12) *

Acclaimed poet and Young People’s Poet Laureate Naomi Shihab Nye shines a spotlight on the things we cast away, from plastic water bottles to those less fortunate, in this collection of more than eighty original and never-before-published poems. A deeply moving, sometimes funny, and always provocative poetry collection for all ages.“Nye at her engaging, insightful best.”—Kirkus (starred review) “How much have you thrown away in your lifetime already? Do you ever think about it? Where does this plethora of leavings come from? How long does it take you, even one little you, to fill the can by your desk?”—Naomi Shihab Nye National Book Award Finalist, Young People’s Poet Laureate, and devoted trash-picker-upper Naomi Shihab Nye explores these questions and more in this original collection of poetry that features more than eighty new poems. “I couldn’t save the world, but I could pick up trash,” she says in her introduction to this stunning volume.With poems about food wrappers, lost mittens, plastic straws, refugee children, trashy talk, the environment, connection, community, responsibility to the planet, politics, immigration, time, junk mail, trash collectors, garbage trucks, all that we carry and all that we discard, this is a rich, engaging, moving, and sometimes humorous collection for readers ages twelve to adult. Features an index.

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras Key Features *Implement machine learning algorithms to build, train, and validate algorithmic models *Create your own algorithmic design process to apply probabilistic machine learning approaches to trading decisions *Develop neural networks for algorithmic trading to perform time series forecasting and smart analytics Book Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies. This book shows how to access market, fundamental, and alternative data via API or web scraping and offers a framework to evaluate alternative data. You’ll practice the ML work?ow from model design, loss metric definition, and parameter tuning to performance evaluation in a time series context. You will understand ML algorithms such as Bayesian and ensemble methods and manifold learning, and will know how to train and tune these models using pandas, statsmodels, sklearn, PyMC3, xgboost, lightgbm, and catboost. This book also teaches you how to extract features from text data using spaCy, classify news and assign sentiment scores, and to use gensim to model topics and learn word embeddings from financial reports. You will also build and evaluate neural networks, including RNNs and CNNs, using Keras and PyTorch to exploit unstructured data for sophisticated strategies. Finally, you will apply transfer learning to satellite images to predict economic activity and use reinforcement learning to build agents that learn to trade in the OpenAI Gym. What you will learn *Implement machine learning techniques to solve investment and trading problems *Leverage market, fundamental, and alternative data to research alpha factors *Design and fine-tune supervised, unsupervised, and reinforcement learning models *Optimize portfolio risk and performance using pandas, NumPy, and scikit-learn *Integrate machine learning models into a live trading strategy on Quantopian *Evaluate strategies using reliable backtesting methodologies for time series *Design and evaluate deep neural networks using Keras, PyTorch, and TensorFlow *Work with reinforcement learning for trading strategies in the OpenAI Gym Who this book is for Hands-On Machine Learning for Algorithmic Trading is for data analysts, data scientists, and Python developers, as well as investment analysts and portfolio managers working within the finance and investment industry. If you want to perform efficient algorithmic trading by developing smart investigating strategies using machine learning algorithms, this is the book for you. Some understanding of Python and machine learning techniques is mandatory.

Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks Key Features *Understand the foundations of meta learning algorithms *Explore practical examples to explore various one-shot learning algorithms with its applications in TensorFlow *Master state of the art meta learning algorithms like MAML, reptile, meta SGD Book Description Meta learning is an exciting research trend in machine learning, which enables a model to understand the learning process. Unlike other ML paradigms, with meta learning you can learn from small datasets faster. Hands-On Meta Learning with Python starts by explaining the fundamentals of meta learning and helps you understand the concept of learning to learn. You will delve into various one-shot learning algorithms, like siamese, prototypical, relation and memory-augmented networks by implementing them in TensorFlow and Keras. As you make your way through the book, you will dive into state-of-the-art meta learning algorithms such as MAML, Reptile, and CAML. You will then explore how to learn quickly with Meta-SGD and discover how you can perform unsupervised learning using meta learning with CACTUs. In the concluding chapters, you will work through recent trends in meta learning such as adversarial meta learning, task agnostic meta learning, and meta imitation learning. By the end of this book, you will be familiar with state-of-the-art meta learning algorithms and able to enable human-like cognition for your machine learning models. What you will learn *Understand the basics of meta learning methods, algorithms, and types *Build voice and face recognition models using a siamese network *Learn the prototypical network along with its variants *Build relation networks and matching networks from scratch *Implement MAML and Reptile algorithms from scratch in Python *Work through imitation learning and adversarial meta learning *Explore task agnostic meta learning and deep meta learning Who this book is for Hands-On Meta Learning with Python is for machine learning enthusiasts, AI researchers, and data scientists who want to explore meta learning as an advanced approach for training machine learning models. Working knowledge of machine learning concepts and Python programming is necessary.

Implement defensive techniques in your ecosystem successfully with Python Key Features * Identify and expose vulnerabilities in your infrastructure with Python * Learn custom exploit development . * Make robust and powerful cybersecurity tools with Python Book Description With the current technological and infrastructural shift, penetration testing is no longer a process-oriented activity. Modern-day penetration testing demands lots of automation and innovation; the only language that dominates all its peers is Python. Given the huge number of tools written in Python, and its popularity in the penetration testing space, this language has always been the first choice for penetration testers. Hands-On Penetration Testing with Python walks you through advanced Python programming constructs. Once you are familiar with the core concepts, you’ll explore the advanced uses of Python in the domain of penetration testing and optimization. You’ll then move on to understanding how Python, data science, and the cybersecurity ecosystem communicate with one another. In the concluding chapters, you’ll study exploit development, reverse engineering, and cybersecurity use cases that can be automated with Python. By the end of this book, you’ll have acquired adequate skills to leverage Python as a helpful tool to pentest and secure infrastructure, while also creating your own custom exploits. What you will learn * Get to grips with Custom vulnerability scanner development * Familiarize yourself with web application scanning automation and exploit development * Walk through day-to-day cybersecurity scenarios that can be automated with Python * Discover enterprise-or organization-specific use cases and threat-hunting automation * Understand reverse engineering, fuzzing, buffer overflows , key-logger development, and exploit development for buffer overflows. * Understand web scraping in Python and use it for processing web responses * Explore Security Operations Centre (SOC) use cases * Get to understand Data Science, Python, and cybersecurity all under one hood Who this book is for If you are a security consultant , developer or a cyber security enthusiast with little or no knowledge of Python and want in-depth insight into how the pen-testing ecosystem and python combine to create offensive tools , exploits , automate cyber security use-cases and much more then this book is for you. Hands-On Penetration Testing with Python guides you through the advanced uses of Python for cybersecurity and pen-testing, helping you to better understand security loopholes within your infrastructure .

The acclaimed author of Where the Watermelons Grow is back with a story perfect for fans of Lynda Mullaly Hunt and Ali Benjamin, about finding friendship after a tragic loss. It’s been eighty-three days since Annie Lee’s daddy died, but she still sees reminders of him everywhere. His record player mysteriously plays his favorite songs, there’s shaving cream in the sink every morning, and the TV keeps flipping to the Duke basketball games he loved.She knows Mama notices it too, but Mama’s been working around the clock to make ends meet. To make matters worse, Annie Lee’s friends ditched her over the summer. She feels completely alone—until she meets Mitch. Though Mitch is tough and confident on the outside, she may need a friend just as badly as Annie Lee. But after losing so much, Annie Lee is afraid to let anyone get too close.And Mitch isn’t the only friend trying to break through Annie Lee’s defenses. Ray, an elderly pianist who plays at a local mall, has been giving her piano lessons. His music is pure magic, and Annie Lee hopes it might be the key to healing her broken heart. But when Ray goes missing, searching for him means breaking a promise to Mitch.Faced with once again losing those who mean the most to her, Annie Lee must make a choice: retreat back into her shell, or risk admitting how much she needs Mitch and Ray—even if it means getting hurt all over again.Just like in her debut, Where the Watermelons Grow, Cindy Baldwin brings her signature twist of magic to this authentically heartfelt story.

Get ready for the Windows 10: 70-698 exam and configure Windows to manage data recovery Key Features * Implement Windows 10 operational and administrative tasks * Configure devices, remote management settings, advanced management tools, and device drivers * Comprehensive guide to help you work efficiently in Windows 10 Book Description The Installing and Configuring Windows 10: 70-698 Exam Guide is designed to confirm what you already know, while also updating your knowledge of Windows 10. With its easy-to-follow guidance, you will quickly learn the user interface and discover steps to work efficiently in Windows 10 to rule out delays and obstacles. This book begins by covering various ways of installing Windows 10, followed by instructions on post-installation tasks. You will learn about the deployment of Windows 10 in Enterprise and also see how to configure networking in Windows 10. You’ll understand how to leverage Disk Management and Windows PowerShell to configure disks, volumes, and file system options. As you progress through the chapters, you will be able to set up remote management in Windows 10 and learn more about Windows update usage, behavior, and settings. You will also gain insights that will help you monitor and manage data recovery and explore how to configure authentication, authorization, and advanced management tools in Windows 10. By the end of this book, you will be equipped with enough knowledge to take the 70-698 exam and explore different study methods to improve your chances of passing the exam with ease. What you will learn * Discover various ways of installing Windows 10 * Understand how to configure devices and device drivers * Configure and support IPv4 and IPv6 network settings * Troubleshoot storage and removable device issues * Get to grips with data access and usage * Explore the advanced management tools available in Windows 10 Who this book is for This book is for IT professionals who perform installation, configuration, general local management and maintenance of Windows 10 core services and are preparing to clear the Windows 10: 70-698 exam

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.

From the author of Stick Dog comes the second book in a highly illustrated early chapter book series about three best friends whose plans, missions, and schemes are sure to shake up their school. Featuring two-color art on every page and fun activities at the end of each book!Simon always has a lot to say. And sometimes he can’t stop talking–even in the middle of class. When Simon gets in trouble for jabbering at school, his best friends, Molly and Rosie, think up a plan to keep him from getting grounded at home! It involves cars, suds, and pink plastic flamingos! But will their big plan turn into an even bigger disaster? Each hilarious friendship story in this series is designed to set independent readers up for success—with short, fast-paced chapters, black-and-red art on every page, and progress bars at the end of each chapter!

From the author of Stick Dog comes the first book in a highly illustrated early chapter book series about three best friends whose plans, missions, and schemes are sure to shake up their school. Featuring two-color art on every page and fun activities at the end of each book!Molly gets things stuck in her head sometimes. When she sees a jar of candy on Principal Shelton’s desk, she absolutely needs to know how many candies are in that jar! Luckily, her two best friends, Simon and Rosie, are ready to help her find the answer—even if it means detention for all of them!Each hilarious friendship story in this series is designed to set independent readers up for success—with short, fast-paced chapters, black-and-red art on every page, and progress bars at the end of each chapter!