Written for young adults, the Urban Underground series confronts issues that are of great importance to teens, such as friendship, loyalty, drugs, gangs, abuse, urban blight, bullies, and self-esteem to name a few. More than entertainment, these books can be a powerful learning and coping tool when a struggling reader connects with credible characters and a compelling storyline. The highly readable style and mature topics will appeal to young adult readers of both sexes and encourage them to finish each eBook. Cesar Chavez HS Series - Local homeless man, Griff Slocum, has been found dead. Murdered. Rod and Clay, Chavez High seniors, fall under suspicion--as well as a few other school bullies including Humberto Gomez, who suddenly has money to throw around. Ernesto is on the case because he can’t let the police handle things--Griff was someone he saw frequently, and he feels that he must help. And after all, it was Ernesto who witnessed Rod harassing Griff. Rod’s student ID was found near the body--a dark cloud of suspicion hangs over his head. Rod’s parents retain a lawyer, Ernesto’s uncle, to help their son. Humberto Gomez, Rod’s cousin, Rick Alanzar, Humberto’s best friend, and Clay Aguirre are also implicated. It turns out that Griff traded baseball cards. Some were valuable. Very valuable. Lacey Serrano, a freshman bully and Humberto’s girlfriend, is suddenly getting lavish gifts. Humberto is questioned. Did Griff possess something to die for?

High-Low, supernatural teen fiction--Apartment 4A follows a struggling teen, Bree, who has to take care of herself in a less than ideal situation. Bree is an orpan living with her aunt who is suffering from dimentia. She also has a dodgy brother that drinks too much. She has no one to count on but herself, until she starts hearing noises from a nearby empty apartment. Written at a 2.0 reading level, each book contains approximately 2500 words. Books are not sold separately. Bree knew her boss was dealing drugs. But she needed the job. Her brother only came home to steal. And her aunt was ill. “Just one last job,” Bree thought.

The Lockwood Lions’ crosstown rivals, the Grovehill Giants, seem to have it all. Or do they? When the cheer squad and the ballers get together, it always gets intense. But there are two sides to every story—whose side are you on? Each novel in the flip is approximately 30,000 words–170 pages. The ladies of Savvy Girl—Skylar, Ariel, Vanessa, Victoria, and Yaris—have their ups and downs. But they won’t let their drama interfere with the state title. The ballers of Fresh Guy—Ford, Ryder, Emerson, Stone, and Hagen—are tough athletes and grand showboaters. But can they take it to the Dome? Scream Loud: Vanessa House has a lot on her mind. She’s not perfect like her shy half-sister Victoria. Plus living with her father and his new wife in a cushy lifestyle makes her feel guilty about the struggles her mom and siblings have to endure. Hooking up with a wild friend, she gets out of control. Quiet Strength: After GHH loses their star kicker to the rival high school, Emerson thinks that he’s the best guy to take ER Stone’s place. But the coach won’t give him any play time because the season has already started. Emerson has another reason for wanting to make the team. Her name is Vanessa House.

A manhunt can involve helicopters, hounds and hundreds of military or police personnel, but it can also turn on the evidence of one broken spider’s web. Manhunts today might involve the technology of infrared cameras and surveillance devices such as powerful satellite technology, but they may also rely on examining the width, depth, tread and intervals of footprints, or observing minute changes in the natural environment. From searching for high-value enemy targets such as Osama bin Laden and Saddam Hussein to finding soldiers caught behind enemy lines, from escaped prisoners and serial killers to a missing child, SAS and Elite Forces Guide: Manhunt explores just how the military and police forces track people down. Including many case studies of high-value targets, suspected criminals and fugitives from justice, and with extensive background on the different techniques in tracking used, from traditional Native American trackers’ skills to the latest high-tech methods, Manhunt brings together the history and science of tracking. Illustrated with 150 maps and photographs, SAS and Elite Forces Guide: Manhunt is an authoritative examination of tracking from footprints to forensics and a must for anyone interested in the latest military practices, true crime and survival skills.

In any military operation throughout history, few 24-hour periods have been as crucial as that of 6th June 1944. With the aid of specially commissioned maps, D-Day: The First 24 Hours series gives the dramatic history of the first 24 hours of the Normandy landings, and explains in detail the events that occurred in each landing zone. In this second volume of the series, the book describes the airborne landings by paratroopers and glider troops that secured the flanks of the Allied beachheads, including such famous encounters as Pegasus Bridge and Ste Mère Eglise, as well as the more secret operations carried out by the SAS, SOE and Maquis. With colour and black & white photographs and specially commissioned maps, the book is a guide to key events in the first 24 hours of the D-Day landings that saw the Allies successfully achieve a foothold in Northern Europe.

Teroristkinja!“ Teroristkinja!“ Svi su vikali kad sam ula unutra. Osvrnula sam se po prostoriji i videla mnogo pritvorenih ljudi. Jedan runi ovek zastraujueg izgleda mi se uneo u lice i rekao: Terorista je dobar samo kad je mrtav!“ Te rei su me toliko prestravile da sam se sruila na pod. Ovo je pria o gospoici Minami Jamagui, japanskoj teroristkinji.

Prequel to Frank Herbert & Bill Ransom’s Pandora Sequence. The starship Earthling, filled with thousands of hybernating colonists en route to a new world at Tau Ceti, is stranded beyond the solar system when the ship’s three Organic Mental Cores—disembodied human brains that control the vessel’s functions—go insane. An emergency skeleton crew sees only one chance for survival: to create an artificial consciousness in the Earthling’s primary computer, which could guide them to their destination . . . or could destroy the human race. This is Frank Herbert’s classic novel that begins the epic Pandora Sequence, which also includes The Jesus Incident, The Lazarus Effect, and The Ascension Factor.

Dragons are creatures of legend. Of magic. Of wisdom, nature, and the power of creation. They have been in every culture and mythology since the beginning of time. Writers are creatures of legend. With magic, wisdom, and the power of creation at their fingertips. They, too, are in every culture and have been creating their own mythologies since the beginning of time. Within each writer is the power of a dragon. . . . The power of creation. Gathered together are twenty-six stories from writers who dared to tame this power, including New York Times best-selling authors Brandon Sanderson, Jody Lynn Nye, Todd McCaffrey, and David Farland. Through fantasy, sci-fi, romance, and poetry, this anthology celebrates the magic and majesty of dragons, writers, and creativity. Within these pages, you’ll find dragons who fly through space, who raise hatchlings, who carry the power of life and death. Some dragons are even featured as swords, planes, and origami creatures. Dragon Writers is a special collection where magic and myth combine to create something legendary. All profits benefit the Don Hodge Memorial Scholarship fund for the Superstars Writing Seminar.

TARGETS ARE LOCKED! Five short novels by five masters of military SF capture the excitement, and hell, of fantastic future war—on and off the battlefield. Stories of terrifying monsters, dangerous aliens and staggering cosmic dreadnaughts march alongside far-flung courtroom dramas and cautionary tales involving man and his devices. Michael A. Stackpole—The Star Tigers are commandeered by a powerful alien overseer on a covert mission to a world long abandoned by an ancient species. There, the ruins of a forgotten war will tip the balance of their war, unless the Star Tigers can prevent it. Sarah A. Hoyt—Lucius Dante Maximilian Keeva is a well-respected leader of the Usaian Revolution, but treason in the ranks can cost him everything that makes life worth living—unless he takes justice into his own hands and breaks every military regulation in its pursuit. Doug Dandridge—Faced with an enemy more than two hundred times her own size, Cinda Klerk has two options: hide, and let it destroy the planet she is supposed to protect, or find a way to even the odds and kill the enemy, even at the cost of her ship and crew. Eytan Kollin and Dani Kollin—As the Unincorporated War envelops the entire solar system, a father must come to the rescue of a daughter he never raised. But he'll have to convince her to save herself first. Kevin J. Anderson—In the war against an alien menace, Earth’s greatest military commanders risk themselves on the front lines, but with an escape hatch: If the situation goes terribly wrong, they can switch places with a safe soldier far from the battlefield. But the cannon-fodder volunteers don’t consider that such a good deal. Set your cross-hairs on the Target Zone.

Twenty years ago Jo Devereux fled Mucknamore, the small Irish village where she grew up, driven away by buried secrets and hatreds, swearing never to return? Now she is back and wants to uncover the truth about what really went on between her family and their friends, the O’Donovans, during Ireland’s bitter Civil War. The consequences of that division in the 1920s carried down into Jo’s own life, shattering her relationship with Rory O’Donovan, the only man she ever loved and driving her to leave Ireland. Now, Jo’s estranged mother has died, leaving her a suitcase full of letters and diaries that may answer questions about the past.? Was her great-uncle really murdered by Dan O’Donovan, his best friend?? What would drive somebody to do that?? And what part did her beloved grandmother play in this conflict? Jo's happy life in San Francisco has been unraveling since her friend Richard died last year. So now, much to her own surprise, she decides to stay on in Mucknamore and see if the letters and diaries bequeathed by her mother might provide the key to unlock the truth. Over the course of a long hot summer, Jo draws close again to Rory, who still lives in Mucknamore and is mired in an unhappy marriage. As she tells him about their shared family past, they realize their love affair was doomed long before they were born. Now that they know, can there be a second chance at happiness? Rory is urging her to rebel, to forget the past and start over again.? But reading their shared history has made Jo cautious. The strength of her feelings frightens her. Is there any way she can be true to Rory and herself, but also to the family she rejected when she was young and headstrong? After The Rising is a sweeping, multigenerational tale set in the 1920s and 1990s Ireland and 1980s San Francisco. It is the first book in The Irish Trilogy, followed by Before the Fall.? This is perfect for fans of Barbara Erskine, MJ Lee or Anne Griffin.

Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key Features *A step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZ *A modern, practical and computational approach to Bayesian statistical modeling *A tutorial for Bayesian analysis and best practices with the help of sample problems and practice exercises. Book Description The second edition of Bayesian Analysis with Python is an introduction to the main concepts of applied Bayesian inference and its practical implementation in Python using PyMC3, a state-of-the-art probabilistic programming library, and ArviZ, a new library for exploratory analysis of Bayesian models. The main concepts of Bayesian statistics are covered using a practical and computational approach. Synthetic and real data sets are used to introduce several types of models, such as generalized linear models for regression and classification, mixture models, hierarchical models, and Gaussian processes, among others. By the end of the book, you will have a working knowledge of probabilistic modeling and you will be able to design and implement Bayesian models for your own data science problems. After reading the book you will be better prepared to delve into more advanced material or specialized statistical modeling if you need to. What you will learn *Build probabilistic models using the Python library PyMC3 *Analyze probabilistic models with the help of ArviZ *Acquire the skills required to sanity check models and modify them if necessary *Understand the advantages and caveats of hierarchical models *Find out how different models can be used to answer different data analysis questions *Compare models and choose between alternative ones *Discover how different models are unified from a probabilistic perspective *Think probabilistically and benefit from the flexibility of the Bayesian framework Who this book is for If you are a student, data scientist, researcher, or a developer looking to get started with Bayesian data analysis and probabilistic programming, this book is for you. The book is introductory so no previous statistical knowledge is required, although some experience in using Python and NumPy is expected.

Leverage PowerShell to perform many day-to-day tasks in Microsoft Azure Key Features *Deploy and manage Azure virtual machines with PowerShell commands. *Get to grips with core concept of Azure PowerShell such as working with images and disks, custom script extension, high availability and more. *Leverage hands-on projects to successfully apply what you learned through the course of this book. Book Description As an IT professional, it is important to keep up with cloud technologies and learn to manage those technologies. PowerShell is a critical tool that must be learned in order to effectively and more easily manage many Azure resources. This book is designed to teach you to leverage PowerShell to enable you to perform many day-to-day tasks in Microsoft Azure. Taking you through the basic tasks of installing Azure PowerShell and connecting to Azure, you will learn to properly connect to an Azure tenant with PowerShell. Next, you will dive into tasks such as deploying virtual machines with PowerShell, resizing them, and managing their power states with PowerShell. Then, you will learn how to complete more complex Azure tasks with PowerShell, such as deploying virtual machines from custom images, creating images from existing virtual machines, and creating and managing of data disks. Later, you will learn how to snapshot virtual machines, how to encrypt virtual machines, and how to leverage load balancers to ensure high availability with PowerShell. By the end of this book, you will have developed dozens of PowerShell skills that are invaluable in the deployment and management of Azure virtual machines. What you will learn *Manage virtual machines with PowerShell *Resize a virtual machine with PowerShell *Create OS disk snapshots via PowerShell *Deploy new virtual machines from snapshots via PowerShell *Provision and attach data disks to a virtual machine via PowerShell *Load balance virtual machines with PowerShell *Manage virtual machines with custom script extensions Who this book is for This book is intended for IT professionals who are responsible for managing Azure virtual machines. No prior PowerShell or Azure experience is needed.

Learn development skills and improve productivity when programming in Microsoft Dynamics NAV 2018 - the popular Enterprise Resourse Planning management system used across a variety of industries for business process management Key Features *Solve common business problems with the valuable features and flexibility of Dynamics NAV *Understand the structure of NAV database - how documents and business entities are mapped to DB tables *Design user interface and bind the presentation layer with the data storage Book Description Microsoft Dynamics NAV is an enterprise resource planning (ERP) software suite for organizations. The system offers specialized functionality for manufacturing, distribution, government, retail, and other industries. This book gets you started with its integrated development environment for solving problems by customizing business processes. This book introduces the NAV development environment – C/SIDE. It gives an overview of the internal system language and the most essential development tools. The book will enable the reader to customize and extend NAV functionality with C/AL code, design a user interface through pages, create role centers, and build advanced reports in Microsoft Visual Studio. By the end of the book, you will have learned how to extend the NAV data model, how to write and debug custom code, and how to exchange data with external applications. What you will learn *Manage NAV Server configuration with Microsoft Management Console *Manage NAV installation with the NAV Administration Shell *Create integration events and extend functionality via the NAV event model *Run XML Ports from C/AL code *Design reports and write client code in RDLC expressions Who this book is for This book is for experienced NAV users who have an understanding of basic programming concepts. Familiarity with NAV development environment or its internal development language-C/AL is not expected.

Architect scalable, reliable, and maintainable applications for enterprises with Python Key Features *Explore various Python design patterns used for enterprise software development *Apply best practices for testing and performance optimization to build stable applications *Learn about different attacking strategies used on enterprise applications and how to avoid them Book Description Dynamically typed languages like Python are continuously improving. With the addition of exciting new features and a wide selection of modern libraries and frameworks, Python has emerged as an ideal language for developing enterprise applications. Hands-On Enterprise Application Development with Python will show you how to build effective applications that are stable, secure, and easily scalable. The book is a detailed guide to building an end-to-end enterprise-grade application in Python. You will learn how to effectively implement Python features and design patterns that will positively impact your application lifecycle. The book also covers advanced concurrency techniques that will help you build a RESTful application with an optimized frontend. Given that security and stability are the foundation for an enterprise application, you’ll be trained on effective testing, performance analysis, and security practices, and understand how to embed them in your codebase during the initial phase. You’ll also be guided in how to move on from a monolithic architecture to one that is service oriented, leveraging microservices and serverless deployment techniques. By the end of the book, you will have become proficient at building efficient enterprise applications in Python. What you will learn *Understand the purpose of design patterns and their impact on application lifecycle *Build applications that can handle large amounts of data-intensive operations *Uncover advanced concurrency techniques and discover how to handle a large number of requests in production *Optimize frontends to improve the client-side experience of your application *Effective testing and performance profiling techniques to detect issues in applications early in the development cycle *Build applications with a focus on security *Implement large applications as microservices to improve scalability Who this book is for If you’re a developer who wants to build enterprise-grade applications, this book is for you. Basic to intermediate-level of programming experience with Python and database systems is required to understand the concepts covered in this book.

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.

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 .

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.

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.