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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.

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.

This practical guide shows you how to use the CLI with the bash shell to perform tasks such as data collection and analysis, intrusion detection, reverse engineering, and administration.

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

If you maintain or plan to build Puppet infrastructure, this practical guide will take you a critical step further with best practices for managing the task successfully. Authors Chris Barbour and Jo Rhett present best-in-class design patterns for deploying Puppet environments and discuss the impact of each. The conceptual designs and implementation patterns in this book will help you create solutions that are easy to extend, maintain, and support.Essential for companies upgrading their Puppet deployments, this book teaches you powerful new features and implementation models that werent available in the older versions. DevOps engineers will learn how best to deploy Puppet with long-term maintenance and future growth in mind.Explore Puppets design philosophy and data structuresGet best practices for using Puppets declarative languageExamine Puppet resources in depththe building blocks of state managementLearn to model and describe business and site-specific logic in PuppetSee best-in-class models for multitiered data management with HieraExplore available options and community experience for node classificationUtilize r10k to simplify and accelerate Puppet change managementReview the cost benefits of creating your own extensions to PuppetGet detailed advice for extending Puppet in a maintainable manner

What can you gain by deploying Windows Server 2012 to your data center? This succinct guide takes a practical look at Microsoft's upgraded server and helps you determine how - or if - it can serve your business.

The link between cyberpunk and making has always been strong, sharing the "If you can't hack it, you don't own it" ethos. In this issue of Make:, we show you the newest emerging technologies, how to get into things you shouldn't with our spy tech roundup, and how to repurpose useful parts from discarded electronics. We also help you answer the crucial question: are you still a cyberpunk? Inside you will find 13 projects, including how to:Build a wheelchair for your furry friend out of hardware store partsText your bestie with a casual raise of the eyebrow and a muscle sensorCraft a cheap, easy-to-assemble rubber-band helicopter out of household supplies and a 2-liter soda bottleMake super cute papercraft succulents to decorate your spaceAnd more!

This hands-on book takes a look at four brilliant women -- Ada Lovelace, Anna Atkins, Hildegard Von Bingen, and Maria Telkes -- and the world-changing innovations they created. Walk in their footsteps as you discover how these women became inventors, learn what inspired them, and then try your hand at recreating their most famous inventions.

While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution. Authors Ted Malaska and Jonathan Seidman guide you through the major components necessary to start, architect, and develop successful big data projects.Everyone from CIOs and COOs to lead architects and developers will explore a variety of big data architectures and applications, from massive data pipelines to web-scale applications. Each chapter addresses a piece of the software development life cycle and identifies patterns to maximize long-term success throughout the life of your project.Start the planning process by considering the key data project typesUse guidelines to evaluate and select data management solutionsReduce risk related to technology, your team, and vague requirementsExplore system interface design using APIs, REST, and pub/sub systemsChoose the right distributed storage system for your big data systemPlan and implement metadata collections for your data architectureUse data pipelines to ensure data integrity from source to final storageEvaluate the attributes of various engines for processing the data you collect

The Agile movement provides real, actionable answers to the question that keeps many company leaders awake at night: How do we stay successful in a fast-changing and unpredictable world? Agile has already transformed how modern companies build and deliver software. This practical book demonstrates how entire organizationsfrom product managers and engineers to marketers and executivescan put Agile to work.Author Matt LeMay explains Agile in clear, jargon-free terms and provides concrete and actionable steps to help any team put its values and principles into practice. Examples from a wide variety of organizations, including small nonprofits and global financial enterprises, bring to life the on-the-ground realities of Agile across industries and functions.Understand exactly what Agile is and why it mattersUse Agile to address your organizations specific needs and goalsTake customer centricity from theory into practiceStop wasting time in "e;report and critique"e; meetings and start making better decisionsCreate a harmonious cycle of learning, collaborating, and deliveringLearn from Agile experts at companies like IBM, Spotify, and Coca-Cola

In this issue of Make: learn to connect and automate a variety of gadgets with the easy-to-use IFTTT (If This Then That) cloud service -- set your coffee machine to brew a fresh pot when you wake up or send a message to do your homework right away when you get back home. Then explore how hackers use the Shodan search engine to discover and take advantage of your connected devices and get up to speed on how to lock them out. And in our cover story, read about Let's Robot, the whimsical platform for telepresence robotics. Log in and communally control a roving robot, and build your own for the internet to collectively control.25 projects including:Hack the original Space Invaders arcade audio chip and produce classic and novel sounds3D print an awesome set of egg-shaped speaker enclosures that provide incredible soundSee how prop and costume maker Michelle Sleeper built a real Mad Max: Fury Road-inspired prosthetic arm for an amputee cosplayerAdd sass to your simple sweater with ribbon and grommetsAnd much more!

From Adafruit Industries, a leader in products to Makers, designers, students young and old, comes the Circuit Playground Express. Connect it to your PC, Mac or Linux computer, and you can be programming interactive projects in minutes. You have a choice of programming environments to choose from: Python, the Microsoft MakeCode graphical building block environment, C/C++ via the Arduino development environment and JavaScript. Whether you are learning interactive programming, have an Internet of Things project in mind, or are looking to design on-the-go wearable electronics, the versatile Circuit Playground Express is the device to start with. In Getting Started with the Adafruit Circuit Playground Express, you'll learn how to:Get up and running quickly with programmable boardsUnderstand the basics of coding in multiple programming languagesUse the built-in sensors for a variety of projectsMake colorful interactive displaysDesign programs for the Internet of Things (IoT)