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As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "e;fool"e; them with data that wouldnt trick a human presents a new attack vector. This practical book examines real-world scenarios where DNNsthe algorithms intrinsic to much of AIare used daily to process image, audio, and video data.Author Katy Warr considers attack motivations, the risks posed by this adversarial input, and methods for increasing AI robustness to these attacks. If youre a data scientist developing DNN algorithms, a security architect interested in how to make AI systems more resilient to attack, or someone fascinated by the differences between artificial and biological perception, this book is for you.Delve into DNNs and discover how they could be tricked by adversarial inputInvestigate methods used to generate adversarial input capable of fooling DNNsExplore real-world scenarios and model the adversarial threatEvaluate neural network robustness; learn methods to increase resilience of AI systems to adversarial dataExamine some ways in which AI might become better at mimicking human perception in years to come

There's one resource we just can't get enough of: Time. In this issue of Make:, we celebrate that most fascinating and finite resource. First, build a miniature neomatrix word clock that colorfully spells out the time. Next, waste less time in the shop with a healthy helping of time-saving shop tips. Then, take a metaphorical trip to the past and dive into the history and theory behind modern mechanical clocks.Plus, 19 projects to make, including:8 more crazy clocks to build3D print an old-school bellows-style cameraProgram a wall-mounted display to track your social media statsCraft a 2-in-1 leather carrier for beer and wine for your next picnicBuild a stylish motion-reactive LED table-top displayand more!

Operators are a way of packaging, deploying, and managing Kubernetes applications. A Kubernetes application doesnt just run on Kubernetes; its composed and managed in Kubernetes terms. Operators add application-specific operational knowledge to a Kubernetes cluster, making it easier to automate complex, stateful applications and to augment the platform. Operators can coordinate application upgrades seamlessly, react to failures automatically, and streamline repetitive maintenance like backups.Think of Operators as site reliability engineers in software. They work by extending the Kubernetes control plane and API, helping systems integrators, cluster administrators, and application developers reliably deploy and manage key services and components. Using real-world examples, authors Jason Dobies and Joshua Wood demonstrate how to use Operators today and how to create Operators for your applications with the Operator Framework and SDK.Learn how to establish a Kubernetes cluster and deploy an OperatorExamine a range of Operators from usage to implementationExplore the three pillars of the Operator Framework: the Operator SDK, the Operator Lifecycle Manager, and Operator MeteringBuild Operators from the ground up using the Operator SDKBuild, package, and run an Operator in development, testing, and production phasesLearn how to distribute your Operator for installation on Kubernetes clusters

Companies from startups to corporate giants face massive amounts of disruption today. Now more than ever, organizations need nimble and responsive leaders who know how to exploit the opportunities that change brings. In this insightful book, Jean Dahl, a senior executive and expert in the Lean mindset and its methods, demonstrates why you need to embrace Modern Lean principles and thinking to redefine leadership in this age of digital disruption in order to continuously evolve the Lean enterprise.Drawing on nearly three decades of corporate and consulting experience, Ms. Dahl lays out a new holistic framework for developing Modern Lean leaders. Through personal experiences and compellingreal-world case studies, she explains specific steps necessary for you and your company to proactively understand and respond to change.Understand the leadership challenges Lean leaders face in our 21st century global economyExplore the six dimensions of the Modern Lean FrameworkLearn and apply the nine steps necessary to become a Lean leaderUse Modern Lean methods to build a culture of continuous learning that can be sustained and maintained within your organizationSeize competitive advantage by embracing Modern Lean to tbuild an enterprise that understands how to respond to disruption

Serverless computing greatly simplifies software development. Your team can focus solely on your application while the cloud provider manages the servers you need. This practical guide shows you step-by-step how to build and deploy complex applications in a flexible multicloud, multilanguage environment using Apache OpenWhisk. Youll learn how this platform enables you to pursue a vendor-independent approach using preconfigured containers, microservices, and Kubernetes as your cloud operating system.Michele Sciabarr demonstrates how to build a serverless application using classical design patterns and the programming language or languages that best fit your task. Youll start by building a simple serverless application hands-on before diving into the more complex aspects of the OpenWhisk platform.Examine how OpenWhisks serverless architecture works, including the use of packages, actions, sequences, triggers, rules, and feedsLearn how OpenWhisk compares to existing architectures, such as Java Enterprise EditionManipulate OpenWhisk features using the command-line interface or a JavaScript APIDesign applications using common Gang of Four design patternsUse architectural design patterns such as model-view-controller to combine several OpenWhisk actionsLearn how to test and debug your code in a serverless environment

Is your organization prepared for the next paradigm of customer experience, or will you be left behind? This practical book will make you a winner in a market driven by experience, enabling you to develop desirable offerings and standout service to attract loyal customers.

Collaboration is key for organizations in the 21st century, yet few business people have been trained to teach this skill. How do you advance ideas in a collaborative way and then communicate them throughout your company? In this practical book, author Gretchen Anderson shows you how to generate ideas with others while gaining buy-in from all levels of your organization.Product managers, designers, marketers, technical leaders, and executives will obtain better insight into how team members work together to make decisions. Through tangible exercises and techniques, youll learn how to turn promising ideas into products, services, and solutions that make a real difference in the market.Use a framework to develop ideas into hypotheses to be tested and refinedAvoid common pitfalls in the collaboration processAlign communication approaches to ensure that collaboration is effective and inclusiveStructure events or meetings for different types of collaboration depending on the people involvedPractice giving and receiving critiques to foster inclusion without resorting to consensus-based decisions

Serverless revolutionizes the way organizations build and deploy software. With this hands-on guide, Java engineers will learn how to use their experience in the new world of serverless computing. Youll discover how this cloud computing execution model can drastically decrease the complexity in developing and operating applications while reducing costs and time to market.Engineering leaders John Chapin and Mike Roberts guide you through the process of developing these applications using AWS Lambda, Amazons event-driven, serverless computing platform. Youll learn how to prepare the development environment, program Lambda functions, and deploy and operate your serverless software. The chapters include exercises to help you through each aspect of the process.Get an introduction to serverless, functions as a service, and AWS LambdaLearn how to deploy working Lambda functions to the cloudProgram Lambda functions and learn how the Lambda platform integrates with other AWS servicesBuild and package Java-based Lambda code and dependenciesCreate serverless applications by building a serverless API and data pipelineTest your serverless applications using automated techniquesApply advanced techniques to build production-ready applicationsUnderstand both the gotchas and new opportunities of serverless architecture

Perform data analysis with R quickly and efficiently using the task-oriented recipes in this cookbook. The R language and environment include everything necessary to perform statistical work right out of the box, but its structure can often be difficult for beginners and experienced computer geeks alike.

If youre an executive, manager, or anyone interested in leveraging AI within your organization, this is your guide. Youll understand exactly what AI is, learn how to identify AI opportunities, and develop and execute a successful AI vision and strategy. Alex Castrounis, business consultant and former IndyCar engineer and race strategist, examines the value of AI and shows you how to develop an AI vision and strategy that benefits both people and business.AI is exciting, powerful, and game changingbut too many AI initiatives end in failure. With this book, youll explore the risks, considerations, trade-offs, and constraints for pursuing an AI initiative. Youll learn how to create better human experiences and greater business success through winning AI solutions and human-centered products.Use the books AIPB Framework to conduct end-to-end, goal-driven innovation and value creation with AIDefine a goal-aligned AI vision and strategy for stakeholders, including businesses, customers, and usersLeverage AI successfully by focusing on concepts such as scientific innovation and AI readiness and maturityUnderstand the importance of executive leadership for pursuing AI initiatives"e;A must read for business executives and managers interested in learning about AI and unlocking its benefits. Alex Castrounis has simplified complex topics so that anyone can begin to leverage AI within their organization."e; - Dan Park, GM & Director, Uber"e;Alex Castrounis has been at the forefront of helping organizations understand the promise of AI and leverage its benefits, while avoiding the many pitfalls that can derail success. In this essential book, he shares his expertise with the rest of us."e; - Dean Wampler, Ph.D., VP, Fast Data Engineering at Lightbend

This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach.

The Windows 10 May 2019 Update adds a host of new and improved features to Microsofts flagship operating systemand this jargon-free guide helps you get the most out of every component.This in-depth Missing Manual covers the entire system and introduces you to the latest features in the Windows Professional, Enterprise, Education, and Home editions. Youll learn how to take advantage of improvements to the Game Bar, Edge browser, Windows Online, smartphone features, and a lot more.Written by David Poguetech critic for Yahoo Finance and former columnist for The New York Timesthis updated edition illuminates its subject with technical insight, plenty of wit, and hardnosed objectivity.

Learn the basics of using the micro:bit, an open source hardware ARM-based embedded system used to teach computer programming, to build a series of 10 different gadgets from scratc

We're excited to present our "2019 Make: Digital Fabrication Guide"! This year we get our hands on maker-ready waterjet cutters with machines from Wazer and Omax. We also review the latest 3D printers, CNC routers, laser cutters, and vinyl cutters. More than 20 tools tested to help you find the best one for your shop or makerspace.Plus, more than 30 DigiFab projects and lessons:Build a robot companion that reacts to the faces of people around youMake Nixie tube-style display with LEDs and acrylicCreate a mini Intaglio printing press and create unique artworkand much more.

Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. Youll learn how graph analytics are uniquely suited to unfold complex structures and reveal difficult-to-find patterns lurking in your data. Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver valuefrom finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions.This practical book walks you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4jtwo of the most common choices for graph analytics. Also included: sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality, and community detection.Learn how graph analytics vary from conventional statistical analysisUnderstand how classic graph algorithms work, and how they are appliedGet guidance on which algorithms to use for different types of questionsExplore algorithm examples with working code and sample datasets from Spark and Neo4jSee how connected feature extraction can increase machine learning accuracy and precisionWalk through creating an ML workflow for link prediction combining Neo4j and Spark

In this book, Erin Pangilinan, Steve Lukas, and Vasanth Mohan examine the AR and VR development pipeline and provide hands-on practice to help you hone your skills. Through step-by-step tutorials, you'll learn how to build practical applications and experiences grounded in theory and backed by industry use cases.

Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase.Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly.Youll get the guidance you need to confidently:Find and wrangle time series dataUndertake exploratory time series data analysisStore temporal dataSimulate time series dataGenerate and select features for a time seriesMeasure errorForecast and classify time series with machine or deep learningEvaluate accuracy and performance

If youre just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch.Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, youll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics.Start with the basics, including language syntax and semanticsGet a clear definition of each programming conceptLearn about values, variables, statements, functions, and data structures in a logical progressionDiscover how to work with files and databasesUnderstand types, methods, and multiple dispatchUse debugging techniques to fix syntax, runtime, and semantic errorsExplore interface design and data structures through case studies

Web 2.0 makes headlines, but how does it make money? This concise guide explains what's different about Web 2.0 and how those differences can improve the bottom line.

With this practical book, architects, CTOs, and CIOs will learn a set of patterns for the practice of architecture, including analysis, documentation, and communication. Author Eben Hewitt shows you how to create holistic and thoughtful technology plans, communicate them clearly, lead people toward the vision, and become a great architect or Chief Architect.This book covers each key aspect of architecture comprehensively, including how to incorporate business architecture, information architecture, data architecture, application (software) architecture together to have the best chance for the systems success.Get a practical set of proven architecture practices focused on shipping great products using architectureLearn how architecture works effectively with development teams, management, and product management teams through the value chainFind updated special coverage on machine learning architectureGet usable templates to start incorporating into your teams immediatelyIncorporate business architecture, information architecture, data architecture, and application (software) architecture together

In this issue of Make:, go from zero to maker and beyond with expert tips for taking your robotics, cosplay, and crafting interests to the next level. Then in our cover story, littleBits creator Ayah Bdeir talks about the origins of the iconic snap-and-play electronic blocks, plus teaming up with Star Wars and Marvel, and where the company is headed next. And learn how Oakland, California's, Black Girls Code is bringing expertise -- and a diverse voice -- to technology's future.Plus, 16 projects including:Hack cheap distance sensors to make tiny objects float in mid-airAdd a digital eyeball to a creepy charm you can wear for Halloween -- or all yearRoast coffee beans automatically with spinner, stirrer, and heat gun rigAssemble a cute robot arm to draw the current time in luminescent numeralsAnd more!

The new edition of David Pogue's #1 bestselling Mac book shows you how to use the revamped App Store, all-new apps like News and Stocks, FaceTime's new Group Chat, and Dynamic Desktop.

Deep learning has already achieved remarkable results in many fields. Now its making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields.Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. Youll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicinean example that represents one of sciences greatest challenges.Learn the basics of performing machine learning on molecular dataUnderstand why deep learning is a powerful tool for genetics and genomicsApply deep learning to understand biophysical systemsGet a brief introduction to machine learning with DeepChemUse deep learning to analyze microscopic imagesAnalyze medical scans using deep learning techniquesLearn about variational autoencoders and generative adversarial networksInterpret what your model is doing and how its working

Much has changed in technology over the past decade. Data is hot, the cloud is ubiquitous, and many organizations need some form of automation. Throughout these transformations, Python has become one of the most popular languages in the world. This practical resource shows you how to use Python for everyday Linux systems administration tasks with todays most useful DevOps tools, including Docker, Kubernetes, and Terraform.Learning how to interact and automate with Linux is essential for millions of professionals. Python makes it much easier. With this book, youll learn how to develop software and solve problems using containers, as well as how to monitor, instrument, load-test, and operationalize your software. Looking for effective ways to "e;get stuff done"e; in Python? This is your guide.Python foundations, including a brief introduction to the languageHow to automate text, write command-line tools, and automate the filesystemLinux utilities, package management, build systems, monitoring and instrumentation, and automated testingCloud computing, infrastructure as code, Kubernetes, and serverlessMachine learning operations and data engineering from a DevOps perspectiveBuilding, deploying, and operationalizing a machine learning project

Develop smart applications without spending days and weeks building machine-learning models. With this practical book, youll learn how to apply automated machine learning (AutoML), a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology.Building machine-learning models is an iterative and time-consuming process. Even those who know how to create ML models may be limited in how much they can explore. Once you complete this book, youll understand how to apply AutoML to your data right away.Learn how companies in different industries are benefiting from AutoMLGet started with AutoML using AzureExplore aspects such as algorithm selection, auto featurization, and hyperparameter tuningUnderstand how data analysts, BI professions, developers can use AutoML in their familiar tools and experiencesLearn how to get started using AutoML for use cases including classification, regression, and forecasting.

This practical book shows software developers and system administrators how to plan and run successful chaos engineering experiments. Author Russ Miles explains why, when, and how to test systems, processes, and team responses using simulated failures on Game Days.

If you want to learn how to build efficient user interfaces with React, this is your book. Authors Alex Banks and Eve Porcello show you how to create UIs with this small JavaScript library that can deftly display data changes on large-scale, data-driven websites without page reloads.

Hit the ground running with React, the open-source technology from Facebook for building rich web applications fast. With this practical guide, Yahoo! web developer Stoyan Stefanov teaches you how to build components-React's basic building blocks-and organize them into maintainable, large-scale apps.

Mastering Corda provides you with a consistent, linear, and paced path to learning Corda and building modern enterprise-grade decentralized applications. Using this book, anyone from a complete blockchain beginner to an experienced blockchain or enterprise architect can rapidly understand and write applications like a pro while exploring the technical nuances and intricacies of the Corda platform.Corda is designed for use cases such as finance and investments, supply chain, healthcare, trade finance, insurance, and real estate that require a high-volume of transactions, scalability, and data privacy. If you have basic Java skills, this book will help you understand blockchain and show how you can get started immediately and be involved in the disruption of the future.With this book, you will:Understand Corda's value proposition and alignment with business strategies--particularly relevant to business executives and architectsDive deep into Corda's architecture and blockchain fundamentalsRapidly gain extensive knowledge of and hands-on experience with building Corda applicationsCompare and contrast Corda with Bitcoin, Ethereum, and HyperledgerEffectively prepare for the Corda certification exam and job interviews involving blockchainPerform data analytics and machine learning on Corda nodes

If youre like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems.Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users.Analyze, explore, transform, and visualize data in Apache Spark with RCreate statistical models to extract information and predict outcomes; automate the process in production-ready workflowsPerform analysis and modeling across many machines using distributed computing techniquesUse large-scale data from multiple sources and different formats with ease from within SparkLearn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scaleDive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions