- Table View
- List View
Handlungsorientierungen von Lehrpersonen im Umgang mit Unterrichtsstörungen: Eine Studie mit Lehrpersonen aus Schulen mit und ohne personalisierte Lernkonzepte
by Claudia MarusicIn diesem Open-Access-Buch untersucht Claudia Marusic anhand der Dokumentarischen Methode Handlungsorientierungen von Lehrpersonen aus Schulen mit und ohne personalisierte Lernkonzepte im Umgang mit Unterrichtsstörungen. Treten Störungen im Unterricht auf, sind Lehrpersonen oft gefordert, unter Affekt und Zeitdruck zu handeln. Im Umgang mit Unterrichtsstörungen werden ihre Wahrnehmung und ihr Handeln durch implizite, versteckte Orientierungen beeinflusst. Weiter nehmen unterschiedliche Unterrichtskontexte bzw. didaktische Arrangements eine zentrale Rolle bei der Produktion und Rezeption von Unterrichtsstörungen ein. Rekonstruiert wurden unter anderem drei Typen des Umgangs von Lehrpersonen mit Unterrichtsstörungen. Die Ergebnisse der Studie tragen zur gezielten Reflexion des Umgangs mit Unterrichtsstörungen bei und richten sich sowohl an interessierte Personen aus Forschung und Wissenschaft als auch an Lehrpersonen und Dozierende.
Handlungsraum Media Management: Fallstudien und Analysen für Wirtschaft, Design und Technik
by Christoph Kochhan Alexander MoutchnikDieses Buch enthält Fallstudien und Analysen, die aus einem intensiven interdisziplinären Dialog zwischen Wissenschaft und Praxis im Studiengang Media Management (B.Sc.), Fachbereich Design Informatik Medien, der Hochschule RheinMain, Wiesbaden, entstanden sind.Die rasante Entwicklung von Social Media, Anwendungen Künstlicher Intelligenz sowie von modernen Medien- und Kommunikationskanälen hat in den letzten Jahren zu einer digitalen Transformation geführt, die nahezu alle Bereiche der Wirtschaft und Gesellschaft entscheidend geprägt hat. Die während der Coronapandemie notwendig gewordenen Remote-Work-Lösungen beschleunigten diese Transformation zusätzlich und haben die Art und Weise, wie Medien konsumiert werden, nachhaltig verändert. Gängige Prozesse wurden überdacht und neugestaltet, medienrelevante Entscheidungen in Bereichen wie „Wirtschaft“, „Design“ und „Technik“ modifiziert und umgesetzt. Vor diesem Hintergrund ist es umso wichtiger, den medienbezogenen Dialog zwischen Wissenschaft und Praxis mit neuer Akzentuierung zu führen.Die vielfältig positionierten Beitragsautor*innen betrachten Standortfaktoren und Organisationsformen von Medien sowie Kommunikations- und Marketingkonzepte. Darüber hinaus wird eine Einordnung der Bereiche Personal, Design und Technologie vorgenommen, die dem rasanten Wandel der Medienbranche in den letzten Jahren Rechnung trägt.
Handlungsspezifische Qualifikationen für Fachwirte für Dummies (Für Dummies)
by Carsten KulkaWie führe ich ein Mitarbeitergespräch? Welche Führungsstile gibt es? Und was verbirgt sich hinter dem Begriff Supply Chain Management? In "Handlungsspezifische Qualifikationen für Dummies" wird dem Leser das Handwerkszeug zum erfolgreichen Führen eines Unternehmens vermittelt. Das Buch bietet klare Orientierung für Prüflinge der IHK-Weiterbildung zum "Wirtschafts- Industrie- und technischen Fachwirt". Als IHK-Prüfer bringt der Autor seine Expertise ein und vermittelt essenzielle Kenntnisse, die für Prüflinge der IHK-Weiterbildung unerlässlich sind. Doch auch für Leser, die sich für eine Führungsposition interessieren, bietet das Buch wertvolle und leicht verständliche Inhalte.
The Handmade Marketplace, 2nd Edition: How to Sell Your Crafts Locally, Globally, and Online
by Kari ChapinMake money doing what you love. Kari Chapin’s insightful and inspiring guide to turning your crafting skills into earned income has been completely revised and updated. The Handmade Marketplace is filled with proven techniques that can help you brand your business, establish a client base, sell your products, and effectively employ all aspects of social media. Learn how easy it is to enjoy a lucrative career while leading the creative life you’ve always craved.
Handmaking America: A Back-to-Basics Pathway to a Revitalized American Democracy
by Bill IveyAmerica has survived an economic near-disaster. While the state of employment and housing will one day improve, we will never return to the delusional prosperity that defined the first decade of the 21st century. Progressives should hold the key to quality of life in our coming post-consumerist society, but today Democrats have become timid, our vision of the good life marginalized by three decades of partisan attacks and the think tank-induced assumption that an unfettered marketplace, low taxes, and international adventurism will somehow give us an America capable of inspiring the world. Handmaking America, reaches back to the Arts-and-Crafts roots of progressive thought, confronting the way right-wing ideology and the power of post-industrial capitalism have undermined work, government; our very way of life, advancing a practical, achievable vision for a good society that can use the capacity of government to recover the essential strength of the American idea.
The Handover: How We Gave Control of Our Lives to Corporations, States and AIs
by David Runciman“[W]itty and refined . . . Runciman’s point is that the alliance between even a democratic government and a safe-ish A.I. could derail civilization.” —Gideon Lewis-Kraus, New Yorker An eminent political thinker uses our history with states and corporations—“artificial agents” to which we have granted immense power—to predict how AI will remake society. Countless books, news reports, and opinion pieces have announced the impending arrival of artificial intelligence, with most claiming that it will upend our world, revolutionizing not just work but society overall. Yet according to political philosopher and historian David Runciman, we’ve actually been living with a version of AI for 300 years because states and corporations are robots, too. In The Handover, Runciman explains our current situation through the history of these “artificial agents” we created to rescue us from our all-too-human limitations—and demonstrates what this radical new view of our recent past means for our collective future. From the United States and the United Kingdom to the East India Company, Standard Oil, Facebook, and Alibaba, states and corporations have gradually, and then much more rapidly, taken over the planet. They have helped to conquer poverty and eliminate disease, but also unleashed global wars and environmental degradation. As Runciman demonstrates, states and corporations are the ultimate decision-making machines, defined by their ability to make their own choices and, crucially, to sustain the consequences of what has been chosen. And if the rapid spread of the modern state and corporation has already transformed the conditions of human existence, new AI technology promises the same. But what happens when AI interacts with other kinds of artificial agents, the inhuman kind represented by states and corporations? Runciman argues that the twenty-first century will be defined by increasingly intense battles between state and corporate power for the fruits of the AI revolution. In the end, it is not our own, human relationship with AI that will determine our future. Rather, humanity’s fate will be shaped by the interactions among states, corporations, and thinking machines. With clarity and verve, The Handover presents a brilliantly original history of the last three centuries and a new understanding of the immense challenges we now face.
The Hands-Off Manager: How to Mentor People and Allow Them to Be Successful
by Steve Chandler Duane Black“A liberating read that will cause you to act in your own best interests and the best interests of everyone working within your sphere of influence.” —John Hoover, New York Times–bestselling author of How to Work for an IdiotThe number one reason cited in exit interviews for an employee quitting is “my manager.” This can be for multiple reasons—including one that many managers and executives aren’t even aware of: Today’s employees simply don’t respond to the old hands-on, militaristic management styles. They are highly independent, individual professionals with their own fully developed ideas. Leaders and managers who try to micromanage them will inevitably confront widespread disgruntlement, absenteeism, and turnover . . . and increase their own and their employees’ stress levels.The Hands-Off Manager offers a new vision for all managers. With stories, examples, and activities for the reader to practice, this book shows any manager—new or seasoned—how to coach and mentor employees rather than hover over their shoulders and goad them into action. In this system, each employee’s strength is honored and honed in a climate of partnership and mutual goal-setting—a powerful ingredient for organizational growth and success.
Hands-On AI Trading with Python, QuantConnect, and AWS
by Jiri Pik Ernest P. Chan Jared Broad Philip Sun Vivek SinghMaster the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance Hands-On AI Trading with Python, QuantConnect, and AWS explores real-world applications of AI technologies in algorithmic trading. It provides practical examples with complete code, allowing readers to understand and expand their AI toolbelt. Unlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilizes QuantConnect, providing access to key market data from Algoseek and others. Examples are available on the book's GitHub repository, written in Python, and include performance tearsheets or research Jupyter notebooks. The book starts with an overview of financial trading and QuantConnect's platform, organized by AI technology used: Examples include constructing portfolios with regression models, predicting dividend yields, and safeguarding against market volatility using machine learning packages like SKLearn and MLFinLab. Use principal component analysis to reduce model features, identify pairs for trading, and run statistical arbitrage with packages like LightGBM. Predict market volatility regimes and allocate funds accordingly. Predict daily returns of tech stocks using classifiers. Forecast Forex pairs' future prices using Support Vector Machines and wavelets. Predict trading day momentum or reversion risk using TensorFlow and temporal CNNs. Apply large language models (LLMs) for stock research analysis, including prompt engineering and building RAG applications. Perform sentiment analysis on real-time news feeds and train time-series forecasting models for portfolio optimization. Better Hedging by Reinforcement Learning and AI: Implement reinforcement learning models for hedging options and derivatives with PyTorch. AI for Risk Management and Optimization: Use corrective AI and conditional portfolio optimization techniques for risk management and capital allocation. Written by domain experts, including Jiri Pik, Ernest Chan, Philip Sun, Vivek Singh, and Jared Broad, this book is essential for hedge fund professionals, traders, asset managers, and finance students. Integrate AI into your next algorithmic trading strategy with Hands-On AI Trading with Python, QuantConnect, and AWS.
Hands-On Business Intelligence with DAX: Discover the intricacies of this powerful query language to gain valuable insights from your data
by Ian HorneImplement business intelligence (BI), data modeling, and data analytics within Microsoft products such as Power BI, SQL Server, and Excel Key Features Understand the ins and outs of DAX expressions and querying functions with the help of easy-to-follow examples Manipulate data of varying complexity and optimize BI workflows to extract key insights Create, monitor, and improve the performance of models by writing clean and robust DAX queries Book Description Data Analysis Expressions (DAX) is known for its ability to increase efficiency by extracting new information from data that is already present in your model. With this book, you'll learn to use DAX's functionality and flexibility in the BI and data analytics domains. You'll start by learning the basics of DAX, along with understanding the importance of good data models, and how to write efficient DAX formulas by using variables and formatting styles. You'll then explore how DAX queries work with the help of examples. The book will guide you through optimizing the BI workflow by writing powerful DAX queries. Next, you'll learn to manipulate and load data of varying complexity within Microsoft products such as Power BI, SQL Server, and Excel Power Pivot. You'll then discover how to build and extend your data models to gain additional insights, before covering progressive DAX syntax and functions to understand complex relationships in DAX. Later, you'll focus on important DAX functions, specifically those related to tables, date and time, filtering, and statistics. Finally, you'll delve into advanced topics such as how the formula and storage engines work to optimize queries. By the end of this book, you'll have gained hands-on experience in employing DAX to enhance your data models by extracting new information and gaining deeper insights. What you will learn Understand DAX, from the basics through to advanced topics, and learn to build effective data models Write and use DAX functions and expressions with the help of hands-on examples Discover how to handle errors in your DAX code, and avoid unwanted results Load data into a data model using Power BI, Excel Power Pivot, and SSAS Tabular Cover DAX functions such as date, time, and time intelligence using code examples Gain insights into data by using DAX to create new information Understand the DAX VertiPaq engine and how it can help you optimize data models Who this book is for This book is for data analysts, business analysts, BI developers, or SQL users who want to make the best use of DAX in the BI and data analytics domain with the help of examples. Some understanding of BI concepts is mandatory to fully understand the concepts covered in the book.
Hands-On Business Intelligence with Qlik Sense: Implement self-service data analytics with insights and guidance from Qlik Sense experts
by Kaushik Solanki Pablo Labbe Clever Anjos Jerry DiMasoCreate dynamic dashboards to bring interactive data visualization to your enterprise using Qlik SenseKey FeaturesImplement various Qlik Sense features to create interactive dashboardsAnalyze data easily and make business decisions faster using Qlik SensePerform self-service data analytics and geospatial analytics using an example-based approachBook DescriptionQlik Sense allows you to explore simple-to-complex data to reveal hidden insights and data relationships to make business-driven decisions.Hands-On Business Intelligence with Qlik Sense begins by helping you get to grips with underlying Qlik concepts and gives you an overview of all Qlik Sense’s features. You will learn advanced modeling techniques and learn how to analyze the data loaded using a variety of visualization objects. You’ll also be trained on how to share apps through Qlik Sense Enterprise and Qlik Sense Cloud and how to perform aggregation with AGGR. As you progress through the chapters, you’ll explore the stories feature to create data-driven presentations and update an existing story. This book will guide you through the GeoAnalytics feature with the geo-mapping object and GeoAnalytics connector. Furthermore, you’ll learn about the self-service analytics features and perform data forecasting using advanced analytics. Lastly, you’ll deploy Qlik Sense apps for mobile and tablet. By the end of this book, you will be well-equipped to run successful business intelligence applications using Qlik Sense's functionality, data modeling techniques, and visualization best practices.What you will learnDiscover how to load, reshape, and model data for analysisApply data visualization practices to create stunning dashboardsMake use of Python and R for advanced analyticsPerform geo-analysis to create visualizations using native objectsLearn how to work with AGGR and data storiesWho this book is forIf you’re a data analyst, BI developer, or interested in business intelligence and want to gain practical experience of working on Qlik Sense, this book is for you. You’ll also find it useful if you want to explore Qlik Sense’s next-generation applications for self-service business intelligence. No prior experience of working with Qlik Sense is required.
Hands-On Dashboard Development with QlikView: Practical guide to creating interactive and user-friendly business intelligence dashboards
by Abhishek AgarwalA step-by-step approach to building stunning dashboards with QlikView Key Features Perform effective storytelling through interactive dashboards built with QlikView Create different types of visualizations from a variety of data sources Includes tips, tricks, and best practices to perform effective Business Intelligence using QlikView Book Description QlikView is one of the market leaders when it comes to building effective Business Intelligence solutions. This book will show how you can leverage its power to build your own dashboards to tell your own data story. The book starts with showing you how to connect your data to QlikView and create your own QlikView application. You will learn how to add data from multiple sources, create a data model by joining data, and then review it on the front end. You will work with QlikView components such as charts, list boxes, input boxes, and text objects to create stunning visualizations that help give actionable business insights. You will also learn how to perform analysis on your data in QlikView and master the various types of security measures to be taken in QlikView. By the end of this book, you will have all the essential knowledge required for insightful data storytelling and creating useful BI dashboards using QlikView. What you will learn Learn to use the latest and newest features of QlikView Connect QlikView to various data sources, such as databases and websites Create a fully featured data model without circular references Display your data in maps, charts, and text across multiple sheets Apply set analysis to your data in QlikView expressions Secure your data based on the various audience types Who this book is for This book is best suited for BI professionals, data analysts and budding QlikView developers who wish to build effective dashboards using QlikView. Some basic understanding of the data visualization concepts and Business Intelligence is required.
Hands-On Dashboard Development with Shiny: A practical guide to building effective web applications and dashboards
by Chris BeeleyProgressively explore UI development with Shiny via practical examplesKey FeaturesWrite a Shiny interface in pure HTMLExplore powerful layout functions to make attractive dashboards and other intuitive interfacesGet to grips with Bootstrap and leverage it in your Shiny applicationsBook DescriptionAlthough vanilla Shiny applications look attractive with some layout flexibility, you may still want to have more control over how the interface is laid out to produce a dashboard. Hands-On Dashboard Development with Shiny helps you incorporate this in your applications.The book starts by guiding you in producing an application based on the diamonds dataset included in the ggplot2 package. You’ll create a single application, but the interface will be reskinned and rebuilt throughout using different methods to illustrate their uses and functions using HTML, CSS, and JavaScript. You will also learn to develop an application that creates documents and reports using R Markdown. Furthermore, the book demonstrates the use of HTML templates and the Bootstrap framework. Moving along, you will learn how to produce dashboards using the Shiny command and dashboard package. Finally, you will learn how to lay out applications using a wide range of built-in functions.By the end of the book, you will have an understanding of the principles that underpin layout in Shiny applications, including sections of HTML added to a vanilla Shiny application, HTML interfaces written from scratch, dashboards, navigation bars, and interfaces.What you will learnAdd HTML to a Shiny application and write its interfaces from scratch in HTMLUse built-in Shiny functions to produce attractive and flexible layoutsProduce dashboards, adding icons and notificationsExplore Bootstrap themes to lay out your applicationsGet insights into UI development with hands-on examplesUse R Markdown to create and download reportsWho this book is forIf you have some experience writing Shiny applications and want to use HTML, CSS, and Bootstrap to make custom interfaces, then this book is for you.
Hands-On Data Science for Librarians (Chapman & Hall/CRC Data Science Series)
by Sarah Lin Dorris ScottLibrarians understand the need to store, use and analyze data related to their collection, patrons and institution, and there has been consistent interest over the last 10 years to improve data management, analysis, and visualization skills within the profession. However, librarians find it difficult to move from out-of-the-box proprietary software applications to the skills necessary to perform the range of data science actions in code. This book will focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports, machine learning, and others. While there’s a place for theory, ethics, and statistical methods, librarians need a tool to help them acquire enough facility with R to utilize data science skills in their daily work, no matter what type of library they work at (academic, public or special). By walking through each skill and its application to library work before walking the reader through each line of code, this book will support librarians who want to apply data science in their daily work. Hands-On Data Science for Librarians is intended for librarians (and other information professionals) in any library type (public, academic or special) as well as graduate students in library and information science (LIS). Key Features: Only data science book available geared toward librarians that includes step-by-step code examples Examples include all library types (public, academic, special) Relevant datasets Accessible to non-technical professionals Focused on job skills and their applications
Hands-On Data Visualization: Interactive Storytelling From Spreadsheets To Code
by Jack Dougherty Ilya IlyankouTell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub.Hands-On Data Visualization takes you step-by-step through tutorials, real-world examples, and online resources. This practical guide is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required.Build interactive charts and maps and embed them in your websiteUnderstand the principles for designing effective charts and mapsLearn key data visualization concepts to help you choose the right toolsConvert and transform tabular and spatial data to tell your data storyEdit and host Chart.js, Highcharts, and Leaflet map code templates on GitHubLearn how to detect bias in charts and maps produced by others
Hands-On Enterprise Automation on Linux: Efficiently perform large-scale Linux infrastructure automation with Ansible
by James FreemanAchieve enterprise automation in your Linux environment with this comprehensive guide Key Features Automate your Linux infrastructure with the help of practical use cases and real-world scenarios Learn to plan, build, manage, and customize OS releases in your environment Enhance the scalability and efficiency of your infrastructure with advanced Linux system administration concepts Book Description Automation is paramount if you want to run Linux in your enterprise effectively. It helps you minimize costs by reducing manual operations, ensuring compliance across data centers, and accelerating deployments for your cloud infrastructures. Complete with detailed explanations, practical examples, and self-assessment questions, this book will teach you how to manage your Linux estate and leverage Ansible to achieve effective levels of automation. You'll learn important concepts on standard operating environments that lend themselves to automation, and then build on this knowledge by applying Ansible to achieve standardization throughout your Linux environments. By the end of this Linux automation book, you'll be able to build, deploy, and manage an entire estate of Linux servers with higher reliability and lower overheads than ever before. What you will learn Perform large-scale automation of Linux environments in an enterprise Overcome the common challenges and pitfalls of extensive automation Define the business processes needed to support a large-scale Linux environment Get well-versed with the most effective and reliable patch management strategies Automate a range of tasks from simple user account changes to complex security policy enforcement Learn best practices and procedures to make your Linux environment automatable Who this book is for This book is for anyone who has a Linux environment to design, implement, and maintain. Open source professionals including infrastructure architects and system administrators will find this book useful. You're expected to have experience in implementing and maintaining Linux servers along with knowledge of building, patching, and maintaining server infrastructure. Although not necessary, knowledge of Ansible or other automation technologies will be beneficial.
Hands-On Exhibitions: Managing Interactive Museums and Science Centres (Heritage: Care-Preservation-Management)
by Tim CaultonThe development of interactive displays has transformed the traditional museum world in the last decade. Visitors are no longer satisfied by simply gazing at worthy displays in glass cases - they expect to have hands-on experience of the objects and be actively involved with the exhibits, learning informally and being entertained simultaneously. Hands-on museums and science centres provide the most remarkable example of how museums are redefining their roles in society - improving access to real objects and real phenomena, so that they can be enjoyed by more people. In recent years museums have been thrust into intense competition for the public's time and money with all branches of the leisure industry, from commercial theme parks to retail shopping and home entertainment. This has upset the traditional stability of the museum and their visitors. A hands-on approach encourages a broader visitor base, which in turn helps to bring in additional revenue at a time of declining public subsidy. Tim Caulton investigates how to create and operate effective exhibitions which achieve their educational objectives through hands-on access. He concludes that the continuing success of hands-on museums and science centres hinges on attaining the very best practice in exhibition design and evaluation, and in all aspects of operations, including marketing and financial and human resource management. Hands-On Exhibitions provides a practical guide to best practice which will be indispensable to all museum professionals and students of museum studies.
Hands-On Financial Modeling with Microsoft Excel 2019: Build practical models for forecasting, valuation, trading, and growth analysis using Excel 2019
by Shmuel OluwaExplore the aspects of financial modeling with the help of clear and easy-to-follow instructions and a variety of Excel features, functions, and productivity tips Key Features A non data professionals guide to exploring Excel's financial functions and pivot tables Learn to prepare various models for income and cash flow statements, and balance sheets Learn to perform valuations and identify growth drivers with real-world case studies Book Description Financial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Microsoft Excel 2019 examines various definitions and relates them to the key features of financial modeling with the help of Excel. This book will help you understand financial modeling concepts using Excel, and provides you with an overview of the steps you should follow to build an integrated financial model. You will explore the design principles, functions, and techniques of building models in a practical manner. Starting with the key concepts of Excel, such as formulas and functions, you will learn about referencing frameworks and other advanced components of Excel for building financial models. Later chapters will help you understand your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. The book takes an intuitive approach to model testing, along with best practices and practical use cases. By the end of this book, you will have examined the data from various use cases, and you will have the skills you need to build financial models to extract the information required to make informed business decisions. What you will learn Identify the growth drivers derived from processing historical data in Excel Use discounted cash flow (DCF) for efficient investment analysis Build a financial model by projecting balance sheets, profit, and loss Apply a Monte Carlo simulation to derive key assumptions for your financial model Prepare detailed asset and debt schedule models in Excel Discover the latest and advanced features of Excel 2019 Calculate profitability ratios using various profit parameters Who this book is for This book is for data professionals, analysts, traders, business owners, and students, who want to implement and develop a high in-demand skill of financial modeling in their finance, analysis, trading, and valuation work. This book will also help individuals that have and don't have any experience in data and stats, to get started with building financial models. The book assumes working knowledge with Excel.
Hands-On Functional Test Automation: With Visual Studio 2017 and Selenium
by Chaminda Chandrasekara Pushpa HerathGet started with functional testing of both web apps and Windows apps using different test frameworks. This book will take you on a deep dive into integrating functional automation testing with deployment pipelines.Hands-On Functional Test Automation contains step-by-step lessons that will give you an understanding of how to do functional test automation using Selenium with C# and Python. Also, you will learn how to enhance your test automation development with third-party frameworks. You will configure test clients, run functional tests through Azure DevOps release management, and carry out performance and load-testing to gain a good understanding of how to do cloud-based load testing.Each lesson comprises an introduction to the related concepts to help you understand how things work. This will broaden your knowledge so you can implement test automation in the correct way. At the end of each lesson alternative options and other enhancement possibilities are discussed to allow you to do further exploration. You will:· Implement functional test automation of Windows and web applications· Use Visual Studio for load and performance testing · Configure and run cloud-based load testing· Integrate testing with deployment pipelines
Hands-On Healthcare Data: Taming the Complexity of Real-World Data
by Andrew NguyenHealthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved. But first, you have to learn how to access and make sense of all that data.This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and harmonization to feature engineering. Author Andrew Nguyen covers specific ML and deep learning examples with a focus on producing high-quality data. You'll discover how graph technologies help you connect disparate data sources so you can solve healthcare's most challenging problems using advanced analytics.You'll learn:Different types of healthcare data: electronic health records, clinical registries and trials, digital health tools, and claims dataThe challenges of working with healthcare data, especially when trying to aggregate data from multiple sourcesCurrent options for extracting structured data from clinical textHow to make trade-offs when using tools and frameworks for normalizing structured healthcare dataHow to harmonize healthcare data using terminologies, ontologies, and mappings and crosswalks
A Hands-on Introduction to Big Data Analytics
by Funmi Obembe Ofer EngelThis practical textbook offers a hands-on introduction to big data analytics, helping you to develop the skills required to hit the ground running as a data professional. It complements theoretical foundations with an emphasis on the application of big data analytics, illustrated by real-life examples and datasets. Containing comprehensive coverage of all the key topics in this area, this book uses open-source technologies and examples in Python and Apache Spark. Learning features include: - Ethics by Design encourages you to consider data ethics at every stage. - Industry Insights facilitate a deeper understanding of the link between what you are studying and how it is applied in industry. - Datasets, questions, and exercises give you the opportunity to apply your learning. Dr Funmi Obembe is the Head of Technology at the Faculty of Arts, Science and Technology, University of Northampton. Dr Ofer Engel is a Data Scientist at the University of Groningen.
A Hands-on Introduction to Big Data Analytics
by Funmi Obembe Ofer EngelThis practical textbook offers a hands-on introduction to big data analytics, helping you to develop the skills required to hit the ground running as a data professional. It complements theoretical foundations with an emphasis on the application of big data analytics, illustrated by real-life examples and datasets. Containing comprehensive coverage of all the key topics in this area, this book uses open-source technologies and examples in Python and Apache Spark. Learning features include: - Ethics by Design encourages you to consider data ethics at every stage. - Industry Insights facilitate a deeper understanding of the link between what you are studying and how it is applied in industry. - Datasets, questions, and exercises give you the opportunity to apply your learning. Dr Funmi Obembe is the Head of Technology at the Faculty of Arts, Science and Technology, University of Northampton. Dr Ofer Engel is a Data Scientist at the University of Groningen.
Hands-On Inventory Management
by Ed C. MercadoUsing a clear, organized, and accessible building block approach to managing inventory, this volume offers complete coverage of the basic concepts, calculations, and techniques of inventory. These fundamental techniques, which can be easily applied to handle problems in the workplace, are used to demonstrate current concepts such as lean principles and continuous improvement. Numerous case studies from a variety of industries are provided to illustrate concepts. Additional topics presented include types of inventory, inventory transactions, bills of materials, planning and replenishment, storage and physical control, and supply chain management and technology.
Hands-On Kubernetes on Azure: Run Your Applications Securely And At Scale On The Most Widely Adopted Orchestration Platform
by Gunther Lenz Shivakumar GopalakrishnanIf you're a cloud engineer, cloud solution provider, sysadmin, site reliability engineer, or a developer interested in DevOps and are looking for an extensive guide to running Kubernetes in the Azure environment then, this book is for you. Though any previous knowledge of Kubernetes is not expected, some experience with Linux and Docker containers would be beneficial.
Hands-On Machine Learning with R (Chapman & Hall/CRC The R Series)
by Brad Boehmke Brandon M. GreenwellHands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today&’s most popular machine learning methods. This book serves as a practitioner&’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R&’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.
Hands-On Prescriptive Analytics: Optimizing Your Decision Making with Python
by Walter R. PaczkowskiBusiness decisions in any context—operational, tactical, or strategic—can have considerable consequences. Whether the outcome is positive and rewarding or negative and damaging to the business, its employees, and stakeholders is unknown when action is approved. These decisions are usually made under the proverbial cloud of uncertainty.With this practical guide, data analysts, data scientists, and business analysts will learn why and how maximizing positive consequences and minimizing negative ones requires three forms of rich information: Descriptive analytics explores the results from an action—what has already happened. Predictive analytics focuses on what could happen. The third, prescriptive analytics, informs us what should happen in the future.While all three are important for decision-makers, the primary focus of this book is on the third: prescriptive analytics. Author Walter R. Paczkowski, Ph.D. shows you:The distinction among descriptive, predictive, and prescriptive analyticsHow predictive analytics produces a menu of action optionsHow prescriptive analytics narrows the menu of action optionsThe forms of prescriptive analytics: eight prescriptive methodsTwo broad classes of these methods: non-stochastic and stochasticHow to develop prescriptive analyses for action recommendationsWays to use an appropriate tool-set in Python