Courtney Robertson joined season 16 of The Bachelor looking for love. A working model and newly single, Courtney fit the casting call: She was young, beautiful, and a natural in front of the cameras. Although she may have been there for all the right reasons, as the season unfolded and sparks began to fly something else was clear: She was not there to make friends. Courtney quickly became one of the biggest villains in Bachelor franchise history. She unapologetically pursued her man, steamrolled her competition, and broke the rules—including partaking in an illicit skinny-dip that sealed her proposal. Now, after a very public breakup with her Bachelor, Ben Flajnik, Courtney opens up and tells her own story—from her first loves to her first moments in the limo. She dishes on life before, during, and after the Bachelor, including Ben’s romantic proposal to her on a Swiss mountaintop and the tabloid frenzy that continued after the cameras stopped rolling. For the first time ever, a former Bachelor contestant takes us along on her journey to find love and reveals that “happily ever after” isn't always what it seems. Complete with stories, tips, tricks, and advice from your favorite Bachelor alumni, and filled with all the juicy details Courtney fans and foes alike want to know, I Didn’t Come Here to Make Friends is a must-read for every member of Bachelor nation.

Veering from the ludicrous to the endearing and back again, Notes From a Small Island is a delightfully irreverent jaunt around the unparalleled floating nation that has produced zebra crossings, Shakespeare, Twiggie Winkie's Farm, and places with names like Farleigh Wallop and Titsey.

This anthology -- the first general-reader collection of writing by Italian American authors -- is part manifesto, part Sunday dinner. A gathering of voices old and new, some speak in the accents of another age, some completely contemporary and assured, and all together for the first time. To stand with all the other popular media images we represent, now, at last, one exists in written form, the literature of Italian American life.Inside, there are excerpts from novels, memoirs, short stories, essays, and poems -- by the living and the dead, the famous and the obscure. The excerpts are variously moving, funny, poignant, lusty, biting, reverent, witty, loving, angry, and wise, dealing in the most profound aspects of our lives no matter who we are: home, love, sex, family, food, work, God, death.Characters range from gangsters to grandmas, lovers to fighters, thinkers to doers, sinners to saints, with special appearances by Frank Sinatra and the Virgin Mary.

If your workplace feels like a battle zone and colleagues sometimes act like adversaries, you ore not alone. Today four generations glare at one another across the conference table, and the potential for conflict and confusion has never been greater. Traditionalist employees with their "heads down, onward and upward" attitude live out a work ethic shaped during the Great Depression. Eighty million Baby Boomers vacillate between their overwhelming need to succeed and their growing desire to slow down and enjoy life. Generation Xers try to prove themselves constantly yet dislike the image of being overly ambitious, disrespectful, and irreverent. Millennials, new to the workforce, mix savvy with social conscience and promise to further change the business landscape. This insightful book provides hands-on methods to close the generation gaps. With effective tools to recruit, retain, motivate, and manage each generation, you can now create teamwork, not war, in today's highperformance workplace . . . where at any age, productivity is what counts.

For an extraordinary fifty-seven-year period, one of the nation's largest and fastest-growing companies was run by two men who were flesh and blood. The chief executives of the International Business Machines Corporation from 1914 until 1971 were Thomas J. Watson and Thomas J. Watson, father and son. That great corporation bears the imprint of both men -- their ambitions and their strengths -- but it also bears the consequences of a family that was in near-constant conflict.Sometimes wrong but never in doubt, both Watsons had clear -- and farsighted -- visions of what their company could become. They also had volcanic tempers. Their fights with each other combined with their commitment to leadership and excellence made IBM one of the most rewarding, yet gut-clutching firms to work for in the history of American business.We are accustomed to describing professional behavior as if men and women leave their emotions and vulnerabilities at home each day. In the case of the Watsons, filial and sibling strife could not be excluded from the office. In closely studying the desires and frustrations of the Watson family, eminent historian Richard S. Tedlow has produced something more than a family portrait or a company history. He has raised the nearly forbidden issue of the role of emotion in corporate life.This book explores the interplay between the person- alities of these two extraordinary men and the firm they created. Both Watsons had deeply held beliefs about what a corporation is and should be. These ideas helped make "Big Blue" the bluest of blue-chip stocks during the Watsons' tenure. These very beliefs, however, also sowed the seeds for IBM's disasters in the late 1980s and early 1990s, when the company had lost sight of the original meaning behind many of the practices each man put into place.Tracing the family's idiosyncratic ability to cope with each other's weaknesses but not their strengths, The Watson Dynasty is a book for every person who ever went to work but didn't want to check his personality at the door.

On the last hot day of summer in 1992, gunfire cracked over a rocky knob in northern Idaho, just south of the Canadian border. By the next day three people were dead, and a small war was joined, pitting the full might of federal law enforcement against one well-armed family. Drawing on extensive interviews with Randy Weaver's family, government insiders, and others, Jess Walter traces the paths that led the Weavers to their confrontation with federal agents and led the government to treat a family like a gang of criminals. This is the story of what happened on Ruby Ridge: the tragic and unlikely series of events that destroyed a family, brought down the number-two man in the FBI, and left in its wake a nation increasingly attuned to the dangers of unchecked federal power.

From the editors of Public Agenda.org, an entertaining, irreverent, and absolutely essential nonpartisan guide to the energy crisis Energy: It's a problem that never goes away (despite our best efforts as a nation to ignore it). Why has there been so much talk and so little actionIn Who Turned Out the LightsScott Bittle and Jean Johnson offer a much-needed reality check: The "Drill, Baby, Drill" versus "Every Day Is Earth Day" battle is not solving our problems, and the finger-pointing is just holding us up.Sorting through the political posturing and confusing techno-speak, they provide a fair-minded, "let's skip the jargon" explanation of the choices we face. And chapters such as "It's All Right Now (In Fact, It's a Gas)" prove that, while the problem is serious, getting a grip on it doesn't have to be. In the end, the authors present options from the right, left, and center but take just one position: The country must change the way it gets and uses energy, and the first step is to understand the choices.

With such seminal movies as The Exorcist and The French Connection, Academy Award-winning director William Friedkin secured his place as a great filmmaker. A maverick from the start, Friedkin joined other young directors who ushered in Hollywood's second Golden Age during the 1970s. Now, in his long-awaited memoir, Friedkin provides a candid portrait of an extraordinary life and career.His own success story has the makings of classic American film. He was born in Chicago, the son of Russian immigrants. Immediately after high school, he found work in the mailroom of a local television station, and patiently worked his way into the directing booth during the heyday of live TV. An award-winning documentary brought him attention as a talented new filmmaker, as well as an advocate for justice, and it caught the eye of producer David L. Wolper, who brought Friedkin to Los Angeles. There he moved from television (one of the last episodes of The Alfred Hitchcock Hour) to film (The Birthday Party, The Boys in the Band), displaying a versatile stylistic range. Released in 1971, The French Connection won five Academy Awards, including Best Picture and Best Director, and two years later, The Exorcist received ten Oscar nominations and catapulted Friedkin's career to stardom.Penned by the director himself, The Friedkin Connection takes readers on a journey through the numerous chance encounters and unplanned occurrences that led a young man from a poor urban neighborhood to success in one of the most competitive industries and art forms in the world.From the streets of Chicago to the executive suites of Hollywood, from star-studded movie sets to the precision of the editing room, from a pas-sionate new artistic life as a renowned director of operas to his most recent tour de force, Killer Joe, William Friedkin has much to say about the world of moviemaking and his place within it.Written with the narrative drive of one of his finest films, The Friedkin Connection is a wonderfully engaging look at an artist and an industry that has transformed who we are and how we see ourselves.

No contemporary pop performer's work mixes innovation and tradition like Rufus Wainwright's. He is the son of singer, songwriter, actor Loudon Wainwright III and legendary Canadian folk singer Kate McGarrigle whose story is one of towering highs and rock bottom lows in which family influences, sexual experimentation, and a crystal meth addiction in the early 2000s have greatly contributed to his creative process.In seeking to explain how Wainwright works and where his place lies in a great tradition, rock journalist Kirk Lake entered into many odd and diverse worlds Canadian folk, neo-Conservatism, drug addiction, gay liberation, Hollywood musicals as he followed Wainwright's journey from Van Dyke Parks to rehab to Carnegie Hall. The product of in-depth interviews with musicians, producers, filmmakers, family friends, There Will Be Rainbows is a fascinating, sometimes troubling study of the glorious enigma that is Rufus Wainwright.

Unleash the power of Python and its robust data science capabilities About This Book Unleash the power of Python 3 objects Learn to use powerful Python libraries for effective data processing and analysis Harness the power of Python to analyze data and create insightful predictive models Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics Who This Book Is For Entry-level analysts who want to enter in the data science world will find this course very useful to get themselves acquainted with Python’s data science capabilities for doing real-world data analysis. What You Will Learn Install and setup Python Implement objects in Python by creating classes and defining methods Get acquainted with NumPy to use it with arrays and array-oriented computing in data analysis Create effective visualizations for presenting your data using Matplotlib Process and analyze data using the time series capabilities of pandas Interact with different kind of database systems, such as file, disk format, Mongo, and Redis Apply data mining concepts to real-world problems Compute on big data, including real-time data from the Internet Explore how to use different machine learning models to ask different questions of your data In Detail The Python: Real-World Data Science course will take you on a journey to become an efficient data science practitioner by thoroughly understanding the key concepts of Python. This learning path is divided into four modules and each module are a mini course in their own right, and as you complete each one, you’ll have gained key skills and be ready for the material in the next module. The course begins with getting your Python fundamentals nailed down. After getting familiar with Python core concepts, it’s time that you dive into the field of data science. In the second module, you'll learn how to perform data analysis using Python in a practical and example-driven way. The third module will teach you how to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis to more complex data types including text, images, and graphs. Machine learning and predictive analytics have become the most important approaches to uncover data gold mines. In the final module, we'll discuss the necessary details regarding machine learning concepts, offering intuitive yet informative explanations on how machine learning algorithms work, how to use them, and most importantly, how to avoid the common pitfalls. Style and approach This course includes all the resources that will help you jump into the data science field with Python and learn how to make sense of data. The aim is to create a smooth learning path that will teach you how to get started with powerful Python libraries and perform various data science techniques in depth.

Master the art of getting the maximum out of your machine data using Splunk About This Book A practical and comprehensive guide to the advanced functions of Splunk,, including the new features of Splunk 6.3 Develop and manage your own Splunk apps for greater insight from your machine data Full coverage of high-level Splunk techniques including advanced searches, manipulations, and visualization Who This Book Is For This book is for Splunk developers looking to learn advanced strategies to deal with big data from an enterprise architectural perspective. It is expected that readers have a basic understanding and knowledge of using Splunk Enterprise. What You Will Learn Find out how to develop and manage apps in Splunk Work with important search commands to perform data analytics on uploaded data Create visualizations in Splunk Explore tweaking Splunk Integrate Splunk with any pre-existing application to perform data crunching efficiently and in real time Make your big data speak with analytics and visualizations using Splunk Use SDK and Enterprise integration with tools such as R and Tableau In Detail Master the power of Splunk and learn the advanced strategies to get the most out of your machine data with this practical advanced guide. Make sense of the hidden data of your organization – the insight of your servers, devices, logs, traffic and clouds. Advanced Splunk shows you how. Dive deep into Splunk to find the most efficient solution to your data problems. Create the robust Splunk solutions you need to make informed decisions in big data machine analytics. From visualizations to enterprise integration, this well-organized high level guide has everything you need for Splunk mastery. Start with a complete overview of all the new features and advantages of the latest version of Splunk and the Splunk Environment. Go hands on with uploading data, search commands for basic and advanced analytics, advanced visualization techniques, and dashboard customizing. Discover how to tweak Splunk to your needs, and get a complete on Enterprise Integration of Splunk with various analytics and visualization tools. Finally, discover how to set up and use all the new features of the latest version of Splunk. Style and approach This book follows a step by step approach. Every new concept is built on top of its previous chapter, and it is full of examples and practical scenarios to help the reader experiment as they read.

Create a fascinating 3D printing-ready puzzle in no time! About This Book Learn how to design a 3D printable model from an existing physical object Rekindle your mathematical mind to design perfectly interlocking complex pieces of a puzzle Personalize the puzzle’s design with a photo or shape of your own choice Who This Book Is For The book is meant for fairly advanced 3D printing designers who know their way around Blender, and know how to print out basic shapes. What You Will Learn Design, manipulate, and export 3D models for 3D printing with Blender Master the art from creating meshes, scaling, subdivision, and adding detail with the Boolean modifier to sculpting a custom shape Cut a model into small pieces and learn to design complex interlocking joints In Detail Jigsaw puzzles derive their name from when they were cut from wood sheets using a hand-woodworking tool called a jig saw back in the 1760s. Have you ever wondered how a model idea for a jigsaw puzzle is articulated, and how it was made with these traditional toolsThrough this book, you will master the techniques of designing simple to complex puzzles models for 3D printing. We will quickly introduce you to some simple and effective principles of designing 3D printed objects using Blender. Through the course of the book, you'll explore various robust sculpting methods supported by Blender that allow you to edit objects with actions such as bends or curves, similar to drawing or building up a clay structure of different shapes and sizes. Finally, when the model is sculpted, you'll learn some methods to cut the model and carve out multiple pieces of perfectly-fitting edges of different geometries to complete the puzzle. Style and approach This practical guide explores the union of 3D printing techniques and working with Blender to create intuitive puzzle designs. With a step-by-step approach, you'll learn to use Blender’s shape editing tools to make a basic puzzle shape and combine that with the sculpted model to create the final piece for 3D printing.

Create fast, scalable, and high performance applications with C#, ASP.NET Core 1.0, and MVC 6 About This Book Learn the importance of measuring, profiling, and locating the most impactful problems Discover the common areas you might encounter performance problems and areas you don’t need to worry about Understand the differences between development workstations and production infrastructure and how these can amplify problems Design workflows that run asynchronously and are resilient to transient performance issues Who This Book Is For This book is for ASP.NET and C# developers who have experience with the MVC framework for web application development and are looking to deploy applications that will perform well in live production environments. These could be virtual machines or hosted by a cloud service provider such as AWS or Azure. What You Will Learn Why performance matters and when it should be considered Use different tools to measure performance Spot common performance issues, their root causes, and how to easily mitigate them Improve performance at the network level and I/O level, and how to optimize the application as a whole Work with caching and message queuing tools, including patterns and strategies Discover the dark side of performance improvement and find out how to manage complexity Monitor performance as part of continuous integration and regression testing Assess and solve performance issues with other advanced technologies In Detail ASP.NET Core is the new, open source, and cross-platform, web-application framework from Microsoft. It's a stripped down version of ASP.NET that's lightweight and fast. This book will show you how to make your web apps deliver high performance when using it. We'll address many performance improvement techniques from both a general web standpoint and from a C#, ASP.NET Core, and .NET Core perspective. This includes delving into the latest frameworks and demonstrating software design patterns that improve performance. We will highlight common performance pitfalls, which can often occur unnoticed on developer workstations, along with strategies to detect and resolve these issues early. By understanding and addressing challenges upfront, you can avoid nasty surprises when it comes to deployment time. We will introduce performance improvements along with the trade-offs that they entail. We will strike a balance between premature optimization and inefficient code by taking a scientific- and evidence-based approach. We'll remain pragmatic by focusing on the big problems. By reading this book, you'll learn what problems can occur when web applications are deployed at scale and know how to avoid or mitigate these issues. You'll gain experience of how to write high-performance applications without having to learn about issues the hard way. You'll see what's new in ASP.NET Core, why it's been rebuilt from the ground up, and what this means for performance. You will understand how you can now develop on and deploy to Windows, Mac OS X, and Linux using cross-platform tools, such as Visual Studio Code. Style and approach Starting with a drill down into the nuts and bolts of various performance parameters, you will get an understanding of the ASP.NET MVC 6 framework with the help of rich code-based examples that will equip you to build highly scalable and optimized applications.

Build scalable microservices with Spring, Docker, and Mesos About This Book Learn how to efficiently build and implement microservices in Spring, and how to use Docker and Mesos to push the boundaries of what you thought possible Examine a number of real-world use cases and hands-on code examples. Distribute your microservices in a completely new way Who This Book Is For If you are a Spring developers and want to build cloud-ready, internet-scale applications to meet modern business demands, then this book is for you Developers will understand how to build simple Restful services and organically grow them to truly enterprise grade microservices ecosystems. What You Will Learn Get to know the microservices development lifecycle process See how to implement microservices governance Familiarize yourself with the microservices architecture and its benefits Use Spring Boot to develop microservices Find out how to avoid common pitfalls when developing microservices Be introduced to end-to-end microservices written in Spring Framework and Spring Boot In Detail The Spring Framework is an application framework and inversion of the control container for the Java platform. The framework's core features can be used by any Java application, but there are extensions to build web applications on top of the Java EE platform. This book will help you implement the microservice architecture in Spring Framework, Spring Boot, and Spring Cloud. Written to the latest specifications of Spring, you'll be able to build modern, Internet-scale Java applications in no time. We would start off with the guidelines to implement responsive microservices at scale. We will then deep dive into Spring Boot, Spring Cloud, Docker, Mesos, and Marathon. Next you will understand how Spring Boot is used to deploy autonomous services, server-less by removing the need to have a heavy-weight application server. Later you will learn how to go further by deploying your microservices to Docker and manage it with Mesos. By the end of the book, you'll will gain more clarity on how to implement microservices using Spring Framework and use them in Internet-scale deployments through real-world examples. Style and approach The book follows a step by step approach on how to develop microservices using Spring Framework, Spring Boot, and a set of Spring Cloud components that will help you scale your applications.

Get to grips with 3D printing and learn to model designs using Blender About This Book From the author who brought you the first practical look at 3D printing with 3D Printing Blueprints Get a comprehensive coverage of the prototyping techniques you need to know to start printing your own 3D designs Rekindle your mathematical genius to design personalized objects for complex puzzles Who This Book Is For If you’re new to the world of 3D printing, this is the book for you. Some basic knowledge of Blender and geometry would be helpful, but is not necessary. What You Will Learn Get to know about the different types of 3D printers and their limitations See how Y, H, and T shapes illustrate different ideas of successful 3D design for home 3D printers Set up and configure Blender to model a file for 3D printing Understand material characteristics, printing specifications, tolerances, and design tips Work through the techniques of editing complex meshes, smoothing, combining shapes, and exporting them into STL files for printing Break down complex geometries into multiple simple shapes and model them in layers using Blender Design, manipulate, and export 3D models for 3D printing with Blender Master the art of creating meshes, scaling, subdivision, and adding detail with the Boolean modifier as well as sculpting a custom shape Cut a model into small pieces and understand how to design complex interlocking joints that form a part of a jigsaw puzzle In Detail 3D printing has revolutionized the way that global industries conceptualize and design products for mass consumption. Considered as the next “trillion-dollar” business, every industry is in the race to equip its personnel with techniques to prototype and simplify complex manufacturing process. This book will take you through some simple to complex and effective principles of designing 3D printed objects using Blender. There is a comprehensive coverage of projects such as a 3D print-ready octopus pencil holder, which will teach you how to add basic geometric shapes, and use techniques such as extruding and subdividing to transform these shapes into complex meshes. Furthermore, you’ll learn to use various techniques to derive measurements for an object, model these objects using Blender, organize the parts into layers, and later combine them to create the desired object with the help of a 3D printable SD card holder ring design project. The final project will help you master the techniques of designing simple to complex puzzles models for 3D printing. Through the course of the book, we'll explore various robust sculpting methods supported by Blender to create objects. You’ll move, rotate, and scale the object, and manipulate the view. You’ll edit objects with actions such as bends or curves, similar to drawing or building up a clay structure of different shapes and sizes. By the end of the book, you will have gained thorough practical hands-on experience to be able to create a real-world 3D printable object of your choice. Style and approach This is a hands-on guide to the world of 3D printing. With the help of simple to complex projects, you'll learn various techniques to design 3D printable objects using Blender.

Over 75 practical recipes to confidently design an efficient virtual datacenter with VMware vSphere 6.x About This Book Get the first book on the market that helps you design a virtualized data center with VMware vSphere 6 Achieve enhanced compute, storage, network, and management capabilities for your virtual data center Exciting and practical recipes help you to design a virtual data easily by leveraging the features of VMware vSphere 6 Who This Book Is For If you are an administrator or consultant interested in designing virtualized datacenter environments using VMware vSphere 6.x or previous versions of vSphere and the supporting components, this book is for you. It will help both new and experienced architects deliver professional VMware vSphere virtual datacenter designs. What You Will Learn Identify key factors related to a vSphere design and apply them to every step of the design process Mitigate security risks and meet compliance requirements in a vSphere design. Create a vSphere conceptual design by identifying technical and business requirements Determine the type of database to use based on the deployment size. Design for performance, availability, recoverability, manageability, and security Map the logical resource design into the physical vSphere design Create professional vSphere design documentation to ensure a successful implementation of the vSphere design Leverage the latest vSphere 6.x features to ensure manageability, performance, availability, and security in a virtual datacenter design In Detail VMware is the industry leader in data center virtualization. The vSphere 6.x suite of products provides a robust and resilient platform to virtualize server and application workloads. With the release of 6.x a whole range of new features has come along such as ESXi Security enhancements, fault tolerance, high availability enhancements, and virtual volumes, thus simplifying the secure management of resources, the availability of applications, and performance enhancements of workloads deployed in the virtualized datacenter. This book provides recipes to create a virtual datacenter design using the features of vSphere 6.x by guiding you through the process of identifying the design factors and applying them to the logical and physical design process. You’ll follow steps that walk you through the design process from beginning to end, right from the discovery process to creating the conceptual design; calculating the resource requirements of the logical storage, compute, and network design; mapping the logical requirements to a physical design; security design; and finally creating the design documentation. The recipes in this book provide guidance on making design decisions to ensure the successful creation, and ultimately the successful implementation, of a VMware vSphere 6.x virtual data center design. Style and Approach The book follows a recipe-based approach that consists of practical recipes to effectively design a virtual data center.

Master the art of building analytical models using R About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunning R graphs Develop key skills and techniques with R to create and customize data mining algorithms Use R to optimize your trading strategy and build up your own risk management system Discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R Who This Book Is For This course is for data scientist or quantitative analyst who are looking at learning R and take advantage of its powerful analytical design framework. It’s a seamless journey in becoming a full-stack R developer. What You Will Learn Describe and visualize the behavior of data and relationships between data Gain a thorough understanding of statistical reasoning and sampling Handle missing data gracefully using multiple imputation Create diverse types of bar charts using the default R functions Familiarize yourself with algorithms written in R for spatial data mining, text mining, and so on Understand relationships between market factors and their impact on your portfolio Harness the power of R to build machine learning algorithms with real-world data science applications Learn specialized machine learning techniques for text mining, big data, and more In Detail The R learning path created for you has five connected modules, which are a mini-course in their own right. As you complete each one, you'll have gained key skills and be ready for the material in the next module! This course begins by looking at the Data Analysis with R module. This will help you navigate the R environment. You'll gain a thorough understanding of statistical reasoning and sampling. Finally, you'll be able to put best practices into effect to make your job easier and facilitate reproducibility. The second place to explore is R Graphs, which will help you leverage powerful default R graphics and utilize advanced graphics systems such as lattice and ggplot2, the grammar of graphics. You'll learn how to produce, customize, and publish advanced visualizations using this popular and powerful framework. With the third module, Learning Data Mining with R, you will learn how to manipulate data with R using code snippets and be introduced to mining frequent patterns, association, and correlations while working with R programs. The Mastering R for Quantitative Finance module pragmatically introduces both the quantitative finance concepts and their modeling in R, enabling you to build a tailor-made trading system on your own. By the end of the module, you will be well-versed with various financial techniques using R and will be able to place good bets while making financial decisions. Finally, we'll look at the Machine Learning with R module. With this module, you'll discover all the analytical tools you need to gain insights from complex data and learn how to choose the correct algorithm for your specific needs. You'll also learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, and so on. Style and approach Learn data analysis, data visualization techniques, data mining, and machine learning all using R and also learn to build models in quantitative finance using this powerful language.

Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop About This Book This is a primer on functional-programming-style techniques to help you efficiently process and analyze all of your data Get acquainted with the best and newest tools available such as Scala, Spark, Parquet and MLlib for machine learning Learn the best practices to incorporate new Big Data machine learning in your data-driven enterprise to gain future scalability and maintainability Who This Book Is For Mastering Scala Machine Learning is intended for enthusiasts who want to plunge into the new pool of emerging techniques for machine learning. Some familiarity with standard statistical techniques is required. What You Will Learn Sharpen your functional programming skills in Scala using REPL Apply standard and advanced machine learning techniques using Scala Get acquainted with Big Data technologies and grasp why we need a functional approach to Big Data Discover new data structures, algorithms, approaches, and habits that will allow you to work effectively with large amounts of data Understand the principles of supervised and unsupervised learning in machine learning Work with unstructured data and serialize it using Kryo, Protobuf, Avro, and AvroParquet Construct reliable and robust data pipelines and manage data in a data-driven enterprise Implement scalable model monitoring and alerts with Scala In Detail Since the advent of object-oriented programming, new technologies related to Big Data are constantly popping up on the market. One such technology is Scala, which is considered to be a successor to Java in the area of Big Data by many, like Java was to C/C++ in the area of distributed programing. This book aims to take your knowledge to next level and help you impart that knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees. Most of the data that we produce today is unstructured and raw, and you will learn to tackle this type of data with advanced topics such as regression, classification, integration, and working with graph algorithms. Finally, you will discover at how to use Scala to perform complex concept analysis, to monitor model performance, and to build a model repository. By the end of this book, you will have gained expertise in performing Scala machine learning and will be able to build complex machine learning projects using Scala. Style and approach This hands-on guide dives straight into implementing Scala for machine learning without delving much into mathematical proofs or validations. There are ample code examples and tricks that will help you sail through using the standard techniques and libraries. This book provides practical examples from the field on how to correctly tackle data analysis problems, particularly for modern Big Data datasets.

A practical, indispensable security guide that will navigate you through the complex realm of securely building and deploying systems in our IoT-connected world About This Book Learn to design and implement cyber security strategies for your organization Learn to protect cyber-physical systems and utilize forensic data analysis to beat vulnerabilities in your IoT ecosystem Learn best practices to secure your data from device to the cloud Gain insight into privacy-enhancing techniques and technologies Who This Book Is For This book targets IT Security Professionals and Security Engineers (including pentesters, security architects and ethical hackers) who would like to ensure security of their organization's data when connected through the IoT. Business analysts and managers will also find it useful. What You Will Learn Learn how to break down cross-industry barriers by adopting the best practices for IoT deployments Build a rock-solid security program for IoT that is cost-effective and easy to maintain Demystify complex topics such as cryptography, privacy, and penetration testing to improve your security posture See how the selection of individual components can affect the security posture of the entire system Use Systems Security Engineering and Privacy-by-design principles to design a secure IoT ecosystem Get to know how to leverage the burdgening cloud-based systems that will support the IoT into the future. In Detail With the advent of Intenret of Things (IoT), businesses will be faced with defending against new types of threats. The business ecosystem now includes cloud computing infrastructure, mobile and fixed endpoints that open up new attack surfaces, a desire to share information with many stakeholders and a need to take action quickly based on large quantities of collected data. . It therefore becomes critical to ensure that cyber security threats are contained to a minimum when implementing new IoT services and solutions. . The interconnectivity of people, devices, and companies raises stakes to a new level as computing and action become even more mobile, everything becomes connected to the cloud, and infrastructure is strained to securely manage the billions of devices that will connect us all to the IoT. This book shows you how to implement cyber-security solutions, IoT design best practices and risk mitigation methodologies to address device and infrastructure threats to IoT solutions. This book will take readers on a journey that begins with understanding the IoT and how it can be applied in various industries, goes on to describe the security challenges associated with the IoT, and then provides a set of guidelines to architect and deploy a secure IoT in your Enterprise. The book will showcase how the IoT is implemented in early-adopting industries and describe how lessons can be learned and shared across diverse industries to support a secure IoT. Style and approach This book aims to educate readers on key areas in IoT security. It walks readers through engaging with security challenges and then provides answers on how to successfully manage IoT security and build a safe infrastructure for smart devices. After reading this book, you will understand the true potential of tools and solutions in order to build real-time security intelligence on IoT networks.

Become an expert at using Python for advanced statistical analysis of data using real-world examples About This Book Clean, format, and explore data using graphical and numerical summaries Leverage the IPython environment to efficiently analyze data with Python Packed with easy-to-follow examples to develop advanced computational skills for the analysis of complex data Who This Book Is For If you are a competent Python developer who wants to take your data analysis skills to the next level by solving complex problems, then this advanced guide is for you. Familiarity with the basics of applying Python libraries to data sets is assumed. What You Will Learn Read, sort, and map various data into Python and Pandas Recognise patterns so you can understand and explore data Use statistical models to discover patterns in data Review classical statistical inference using Python, Pandas, and SciPy Detect similarities and differences in data with clustering Clean your data to make it useful Work in Jupyter Notebook to produce publication ready figures to be included in reports In Detail Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. Ever imagined how to become an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your dataWell, look no further, this is the book you want! Through this comprehensive guide, you will explore data and present results and conclusions from statistical analysis in a meaningful way. You’ll be able to quickly and accurately perform the hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making. You’ll start off by learning about the tools available for data analysis in Python and will then explore the statistical models that are used to identify patterns in data. Gradually, you’ll move on to review statistical inference using Python, Pandas, and SciPy. After that, we’ll focus on performing regression using computational tools and you’ll get to understand the problem of identifying clusters in data in an algorithmic way. Finally, we delve into advanced techniques to quantify cause and effect using Bayesian methods and you’ll discover how to use Python’s tools for supervised machine learning. Style and approach This book takes a step-by-step approach to reading, processing, and analyzing data in Python using various methods and tools. Rich in examples, each topic connects to real-world examples and retrieves data directly online where possible. With this book, you are given the knowledge and tools to explore any data on your own, encouraging a curiosity befitting all data scientists.

Bring life to your robot using ROS robotic applications About This Book .This book will help you boost your knowledge of ROS and give you advanced practical experience you can apply to your ROS robot platforms.This is the only book that offers you step-by-step instructions to solidify your ROS understanding and gain experience using ROS tools.From eminent authors, this book offers you a plethora of fun-filled examples to make your own quadcopter, turtlebot, and two-armed robots Who This Book Is For If you are a robotics developer, whether a hobbyist, researchers or professional, and are interested in learning about ROS through a hands-on approach, then this book is for you. You are encouraged to have a working knowledge of GNU/Linux systems and Python. What You Will Learn .Get to know the fundamentals of ROS and apply its concepts to real robot examples.Control a mobile robot to navigate autonomously in an environment.Model your robot designs using URDF and Xacro, and operate them in a ROS Gazebo simulation.Control a 7 degree-of-freedom robot arm for visual servoing.Fly a quadcopter to autonomous waypoints.Gain working knowledge of ROS tools such as Gazebo, rviz, rqt, and Move-It.Control robots with mobile devices and controller boards In Detail The visionaries who created ROS developed a framework for robotics centered on the commonality of robotic systems and exploited this commonality in ROS to expedite the development of future robotic systems. From the fundamental concepts to advanced practical experience, this book will provide you with an incremental knowledge of the ROS framework, the backbone of the robotics evolution. ROS standardizes many layers of robotics functionality from low-level device drivers to process control to message passing to software package management. This book provides step-by-step examples of mobile, armed, and flying robots, describing the ROS implementation as the basic model for other robots of these types. By controlling these robots, whether in simulation or in reality, you will use ROS to drive, move, and fly robots using ROS control. Style and approach This is an easy-to-follow guide with hands-on examples of ROS robots, both real and in simulation.