Deep learning from the ground up using R and the powerful Keras library! In Deep Learning with R, Second Edition you will learn: Deep learning from first principles Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation, neural style transfer, and image generation Deep Learning with R, Second Edition shows you how to put deep learning into action. It's based on the revised new edition of Francois Chollet's bestselling Deep Learning with Python. All code and examples have been expertly translated to the R language by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RStudio. Novices and experienced ML practitioners will love the expert insights, practical techniques, and important theory for building neural networks. about the technology Deep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow put deep learning within reach for all R users, even if they have no experience with advanced machine learning or neural networks. This book shows you how to get started on core DL tasks like computer vision, natural language processing, and more using R. what's inside Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation, neural style transfer, and image generation about the reader For readers with intermediate R skills. No previous experience with Keras, TensorFlow, or deep learning is required.

By proposing and forming a mobile manipulator for modern multi-floor buildings, A Robotic Framework for the Mobile Manipulator: Theory and Application helps readers visualize an end-to-end workflow for making a robot system work in a targeted environment. From a product-oriented viewpoint, this book is considered as a bridge from theories to real products, in which robotic software modules and the robotic system integration are mainly concerned. In the end, readers will have an overview of how to build and integrate various single robotic modules to execute a list of designed tasks in the real world, as well as how to make a robot system work independently, without human interventions. With references and execution guidelines provided at the end of each chapter, the book will be a useful tool for developers and researchers looking to expand their knowledge about the robotics and the robotic software.

The field and topic of optimization is not only a very hot topic now, it is morphing into new approaches. Presents a very contemporary approach. Appeal to mathematicians, yet will also find use in computer science and engineering, especially in operations research. Practical approach presents a framework to be used by students and professionals alike to tackle models needed for various applications and solutions.

The Year of the Raven reaches new heights on dark wings! With a few years under its collective belt, the Hearthstone team needed to find an edge: sharper and more striking than a corvid's beak. In The Art of Hearthstone, Volume IV: Year of the Raven, the designers, engineers, and artists of the smash-hit digital card game pour their cunning into innovative design changes, remarkable animated art, and all-new transmedia content. From the haunted lands of Gilneas in The Witchwood soaring to the laboratories of Outland in The Boomsday Project and touching down to the lively arena of Rastakhan's Rumble, the Year of the Raven has something unique for everyone. Fly alongside the Hearthstone team's creative genius (or madness?) to learn how it was done!

This book is for anyone who wants to gain an understanding of Blockchain technology and its potential. The book is research-oriented and covers different verticals of Blockchain technology. It discusses the characteristics and features of Blockchain, includes techniques, challenges, and future trends, along with case studies for deeper understanding. Blockchain Technology: Exploring Opportunities, Challenges, and Applications covers the core concepts related to Blockchain technology starting from scratch. The algorithms, concepts, and application areas are discussed according to current market trends and industry needs. It presents different application areas of industry and academia and discusses the characteristics and features of this technology. It also explores the challenges and future trends and provides an understanding of new opportunities. This book is for anyone at the beginner to intermediate level that wants to learn about the core concepts related to Blockchain technology.

At some point in your career, you'll realize there's more to being a software engineer than dealing with code. Is it time to become a manager? Or join a startup? In this insightful and entertaining book, Michael Lopp recalls his own make-or-break moments with Silicon Valley giants such as Apple, Slack, Pinterest, Palantir, Netscape, and Symantec to help you make better, more mindful career decisions. With more than 40 stand-alone stories, Lopp walks through a complete job lifecycle, starting with the interview and ending with the realization that it might be time to move on. You'll learn how to handle baffling circumstances in your job, understand what you want from your career, and discover how to thrive in your workplace. Learn how to navigate areas of your job that don't involve writing code Identify how the aspects you enjoy will affect your next career steps Build and maintain key relationships and interactions within your community Make choices that will help you have a deliberate career Recognize what's important to your manager and work on things that matter

This title features tips and techniques for getting a great shot every time. Exposure is one of the most difficult and therefore in-demand topics with amateur photographers, who are always striving for the elusive "perfect shot". This essential guide from Bryan Peterson, author of the best-selling "Understanding Exposure", shows amateur photographers of all levels how to conquer more than 25 tricky exposure scenarios frequently found in the field. As every amateur shutterbug knows, certain exposure situations prove frustrating time and time again, whether photographing a high-contrast snow scene or getting the perfect backlit portrait. In this ready reference, Peterson demystifies common stumbling blocks one by one, with tips and techniques for getting a great shot every time.

Terraform has become a key player in the DevOps world for defining, launching, and managing infrastructure as code (IaC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, Azure, and more. This hands-on third edition, expanded and thoroughly updated for version 1.0 and beyond, shows you the fastest way to get up and running with Terraform. Gruntwork cofounder Yevgeniy (Jim) Brikman walks you through code examples that demonstrate Terraform's simple, declarative programming language for deploying and managing infrastructure with a few commands. Veteran sysadmins, DevOps engineers, and novice developers will quickly go from Terraform basics to running a full stack that can support a massive amount of traffic and a large team of developers. Compare Terraform with Chef, Puppet, Ansible, CloudFormation, Docker, and Packer Deploy servers, load balancers, and databases Create reusable infrastructure with Terraform modules Test your Terraform modules with static analysis, unit tests, and integration tests Configure CI/CD pipelines for both your apps and infrastructure code Use advanced Terraform syntax for loops, conditionals, and zero-downtime deployment New to the third edition: Get up to speed on Terraform 0.13 to 1.0 and beyond Manage secrets (passwords, API keys) with Terraform Work with multiple clouds and providers (including Kubernetes!)

Keep track of your online passwords in this elegant, yet inconspicuous, alphabetically tabbed notebook featuring a modern black-and-gold design. In this 4 x 5.75-inch, 128-page hardcover notebook with removable cover band, record the necessarily complex passwords and user login names required to thwart hackers. You'll find: Internet password safety and naming tips A to Z tabbed pages with space to list website, username, and five passwords for each Dedicated pages to record software license information, with spaces for license number, purchase date, renewal date, and monthly fee Dedicated pages to record network settings and passwords, including for modem, router, WAN, LAN, and wireless A notes section with blank lined pages Just say "no" to piles of sticky notes and scraps of paper with your passwords and logins! This internet password logbook provides an easy way to keep track of website addresses, usernames, and passwords in one discreet and convenient location.

Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area-including healthcare, finance, manufacturing, and marketing-could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science.

- the author is in the BIMA Hall of Fame and is Chief Technology & Innovation Officer at Ernst & Young - the book explains the current state of AI and how it is governed, as well as detailing five potential futures involving AI and providing a clear Roadmap to manage the future of AI - easy and fun to read

The book examines patterns of participation in human rights treaties. International relations theory is divided on what motivates states to participate in treaties, specifically human rights treaties. Instead of examining the specific motivations, this dissertation examines patterns of participation. In doing so, it attempts to match theoretical expectations of state behavior with participation. This book provides significant evidence that there are multiple motivations that lead states to participate in human rights treaties.

In "SharePoint 2003 Advanced Concepts," two world-class SharePoint consultants show how to make SharePoint " jump through hoops" for you-and do exactly what you want. Jason Nadrowski and Stacy Draper have built some of the most diverse SharePoint enterprise implementations. Now, drawing on their extraordinary " in the trenches" experience, they present solutions, techniques, and examples you simply won' t find anywhere else. "SharePoint 2003 Advanced Concepts" addresses every facet of SharePoint customization, from site definitions and templates to document libraries and custom properties. The authors cover both Windows SharePoint Services and SharePoint Portal Server 2003 and illuminate SharePoint' s interactions with other technologies-helping you troubleshoot problems far more effectively. Next time you encounter a tough SharePoint development challenge, don' t waste time: get your proven solution right here, in "SharePoint 2003 Advanced Concepts," - Construct more powerful site and list templates - Control how SharePoint uses ghosted and unghosted pages - Use custom site definitions to gain finer control over your site - Build list definitions with custom metadata, views, and forms - Troubleshoot WEBTEMP, ONET.XML, SCHEMA.XML, SharePoint databases, and their interactions - Create custom property types to extend SharePoint' s functionality - Integrate with other systems and SharePoint sites so that you can use their information more effectively - Customize themes and interactive Help, one step at a time - Customize email alerts and system notifications - Extend the capabilities of document libraries - Control document display and behavior based on extensions

Digital Image Processing with C++ presents the theory of digital image processing, and implementations of algorithms using a dedicated library. Processing a digital image means transforming its content (denoising, stylizing, etc.), or extracting information to solve a given problem (object recognition, measurement, motion estimation, etc.). This book presents the mathematical theories underlying digital image processing, as well as their practical implementation through examples of algorithms implemented in the C++ language, using the free and easy-to-use CImg library. Chapters cover in a broad way the field of digital image processing and proposes practical and functional implementations of each method theoretically described. The main topics covered include filtering in spatial and frequency domains, mathematical morphology, feature extraction and applications to segmentation, motion estimation, multispectral image processing and 3D visualization. Students or developers wishing to discover or specialize in this discipline, teachers and researchers wishing to quickly prototype new algorithms, or develop courses, will all find in this book material to discover image processing or deepen their knowledge in this field.

Access US Census Bureau geographic and demographic data directly within R. Wrangle Census data with tidyverse tools and work with margins of error in the American Community Survey. Make maps and interactive web visualizations with US Census data. Explore Census data with spatial analysis using the sf package. Integrate Census data into spatial and machine learning models.

This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. The volumes focus on computing systems, although the methods may also be applied to other systems. The first volume covers Chapter 1 to Chapter 14, whose subtitle is ``Performance Modeling and Background". The second volume encompasses Chapter 15 to Chapter 25 and has the subtitle ``Reliability and Availability Modeling, Measuring and Workload, and Lifetime Data Analysis". This text is helpful for computer performance professionals for supporting planning, design, configuring, and tuning the performance, reliability, and availability of computing systems. Such professionals may use these volumes to get acquainted with specific subjects by looking at the particular chapters. Many examples in the textbook on computing systems will help them understand the concepts covered in each chapter. The text may also be helpful for the instructor who teaches performance, reliability, and availability evaluation subjects. Many possible threads could be configured according to the interest of the audience and the duration of the course. Chapter 1 presents a good number of possible courses programs that could be organized using this text. Volume II is composed of the last two parts. Part III examines reliability and availability modeling by covering a set of fundamental notions, definitions, redundancy procedures, and modeling methods such as Reliability Block Diagrams (RBD) and Fault Trees (FT) with the respective evaluation methods, adopts Markov chains, Stochastic Petri nets and even hierarchical and heterogeneous modeling to represent more complex systems. Part IV discusses performance measurements and reliability data analysis. It first depicts some basic measuring mechanisms applied in computer systems, then discusses workload generation. After, we examine failure monitoring and fault injection, and finally, we discuss a set of techniques for reliability and maintainability data analysis.

"Exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it." -John Horgan "If you want to know about AI, read this book...It shows how a supposedly futuristic reverence for Artificial Intelligence retards progress when it denigrates our most irreplaceable resource for any future progress: our own human intelligence." -Peter Thiel Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. A computer scientist working at the forefront of natural language processing, Erik Larson takes us on a tour of the landscape of AI to reveal why this is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don't correlate data sets. We make conjectures, informed by context and experience. And we haven't a clue how to program that kind of intuitive reasoning, which lies at the heart of common sense. Futurists insist AI will soon eclipse the capacities of the most gifted mind, but Larson shows how far we are from superintelligence-and what it would take to get there. "Larson worries that we're making two mistakes at once, defining human intelligence down while overestimating what AI is likely to achieve...Another concern is learned passivity: our tendency to assume that AI will solve problems and our failure, as a result, to cultivate human ingenuity." -David A. Shaywitz, Wall Street Journal "A convincing case that artificial general intelligence-machine-based intelligence that matches our own-is beyond the capacity of algorithmic machine learning because there is a mismatch between how humans and machines know what they know." -Sue Halpern, New York Review of Books

This book offers a fresh approach to a range of pressing issues, emphasising the value of establishing economic crime as a sub-discipline within criminology. This will be essential reading for a range of more applied graduate courses across the UK and Europe on counter-fraud, money laundering, corruption, security management and financial crime investigation. Given the prominence of 'economic crime' amongst police forces, law enforcement agencies and government, this book has a secondary market amongst practitioners.

Uses a modular structure, oriented to solve several small-sized cybersecurity problems, each workable in about two weeks with a hands-on approach Evolves from the experience of educating students for more than ten years, following the same principle Includes tutorial work that guides students through a development model aiming to stimulate specific education for non-functional requirements implementation Integrates well-known multimedia resources aiming to explain background concepts and to familiarize students with technological tools. Provides many examples generated from actual occurrences, including those generated by European and NATO experiences

Advanced Android (TM) Application Development, Fourth Edition, is the definitive guide to building robust, commercial-grade Android apps. Systematically revised and updated, this guide brings together powerful, advanced techniques for the entire app development cycle, including design, coding, testing, debugging, and distribution. With the addition of quizzes and exercises in every chapter, it is ideal for both professional and classroom use. An outstanding practical reference for the newest Android APIs, this guide provides in-depth explanations of code utilizing key API features and includes downloadable sample apps for nearly every chapter. Together, they provide a solid foundation for any modern app project. Throughout, the authors draw on decades of in-the-trenches experience as professional mobile developers to provide tips and best practices for highly efficient development. They show you how to break through traditional app boundaries with optional features, including the Android NDK, Google Analytics and Android Wear APIs, and Google Play Game Services. New coverage in this edition includes Integrating Google Cloud Messaging into your apps Utilizing the new Google location and Google Maps Android APIs Leveraging in-app billing from Google Play, as well as third-party providers Getting started with the Android Studio IDE Localizing language and using Google Play App Translation services Extending your app's reach with Lockscreen widgets and DayDreams Leveraging improvements to Notification, Web, SMS, and other APIs Annuzzi has released new source code samples for use with Android Studio. The code updates are posted to the associated blog site: http://advancedandroidbook.blogspot.com/ This title is an indispensable resource for intermediate- to advanced-level Java programmers who are now developing for Android, and for seasoned mobile developers who want to make the most of the new Android platform and hardware. This revamped, newly titled edition is a complete update of Android (TM) Wireless Application Development, Volume II: Advanced Topics, Third Edition.

Online Child Sexual Abuse: Grooming, Policing and Child Protection in a Multi-Media World addresses the complex, multi-faceted and, at times, counter-intuitive relationships between online grooming behaviours, risk assessment, police practices, and the actual danger of subsequent abuse in the physical world. Online child sexual abuse has become a high profile and important issue in public life. When children are victims, there is clearly intense public and political interest and concern. Sex offenders are society's most reviled deviants and the object of seemingly undifferentiated public fear and loathing. This may be evidenced in ongoing efforts to advance legislation, develop police tactics and to educate children and their carers to engage with multi-media and the internet safely. Understanding how sex offenders use the internet and how the police and the government are responding to their behaviour is central to the development of preventative measures. Based on extensive ethnographic research conducted with the police and a specialist paedophile unit, here Elena Marellozzo presents an informed analysis of online child sexual abuse: of the patterns and characteristics of online grooming, and of the challenges and techniques that characterize its policing. Connecting theory, research and practice in the field of policing, social policy, victimology and criminology, this book adds significantly to our understanding and knowledge of the problem of online child sexual abuse, the way in which victims are targeted and how this phenomenon is, and might be, policed.

Python Packages introduces Python packaging at an introductory and practical level that's suitable for those with no previous packaging experience. Despite this, the text builds up to advanced topics such as automated testing, creating documentation, versioning and updating a package, and implementing continuous integration and deployment. Covering the entire Python packaging life cycle, this essential guide takes readers from package creation all the way to effective maintenance and updating. Python Packages focuses on the use of current and best-practice packaging tools and services like poetry, cookiecutter, pytest, sphinx, GitHub, and GitHub Actions. Features: The book's source code is available online as a GitHub repository where it is collaborated on, automatically tested, and built in real time as changes are made; demonstrating the use of good reproducible and clear project workflows. Covers not just the process of creating a package, but also how to document it, test it, publish it to the Python Package Index (PyPI), and how to properly version and update it. All concepts in the book are demonstrated using examples. Readers can follow along, creating their own Python packages using the reproducible code provided in the text. Focuses on a modern approach to Python packaging with emphasis on automating and streamlining the packaging process using new and emerging tools such as poetry and GitHub Actions.

The categorisation of analytical projects could help to simplify complexity reasonably and, at the same time, clarify the critical aspects of analytical initiatives. But how can this complex work be categorized? What makes it so complex? Data Analytics Initiatives: Managing Analytics for Success emphasizes that each analytics project is different. At the same time, analytics projects have many common aspects, and these features make them unique compared to other projects. Describing these commonalities helps to develop a conceptual understanding of analytical work. However, features specific to each initiative affects the entire analytics project lifecycle. Neglecting them by trying to use general approaches without tailoring them to each project can lead to failure. In addition to examining typical characteristics of the analytics project and how to categorise them, the book looks at specific types of projects, provides a high-level assessment of their characteristics from a risk perspective, and comments on the most common problems or challenges. The book also presents examples of questions that could be asked of relevant people to analyse an analytics project. These questions help to position properly the project and to find commonalities and general project challenges.

The COVID-19 pandemic has had so many unprecedented consequences. The great global shift from office work to remote work is one such consequence, with which many information security professionals are struggling. Office workers have been hastily given equipment that has not been properly secured or must use personal devices to perform office work. The proliferation of videoconferencing has brought about new types of cyber-attacks. When the pandemic struck, many organizations found they had no, or old and unworkable, business continuity and disaster recovery plans. Business Recovery and Continuity in a Mega Disaster: Cybersecurity Lessons Learned from the COVID-19 Pandemic reviews the COVID-19 pandemic and related information security issues. It then develops a series of lessons learned from this reviews and explains how organizations can prepare for the next global mega disaster. The following presents some of the key lessons learned: The lack of vetting for third party suppliers and vendors The lack of controls surrounding data privacy, especially as it relates to the personal identifiable information (PPI) data sets The intermingling of home and corporate networks The lack of a secure remote workforce The emergence of supply chain attacks (e.g., Solar Winds) To address the issues raised in these lessons learned, CISOs and their security teams must have tools and methodologies in place to address the following: The need for incident response, disaster recovery, and business continuity plans The need for effective penetration testing The importance of threat hunting The need for endpoint security The need to use the SOAR model The importance of a zero-trust framework This book provides practical coverage of these topics to prepare information security professionals for any type of future disaster. The COVID-19 pandemic has changed the entire world to unprecedented and previously unimaginable levels. Many businesses, especially in the United States, were completely caught off guard, and they had no concrete plans put into place, from a cybersecurity standpoint, for how to deal with this mega disaster. This how-to book fully prepares CIOs, CISOs, and their teams for the next disaster, whether natural or manmade, with the various lessons that have been learned thus far from the COVID-19 pandemic.