Products related to Data:
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Data Culture : Develop An Effective Data-Driven Organization
Organizations often start their data journey by either procuring the technology or hiring the people.However, without an effective data-driven culture in place, they can struggle to derive value from their investments. Data Culture explores how data leaders can develop and nurture a data-driven culture tailored to their organization's needs.It outlines the types of data leadership and teams needed and the key building blocks for success, such as team recruitment, building and training, leadership, process, behavioural change management, developing, sustaining and measuring a data culture, company values and everyday decision making.It also explores the nuances of how different types of data cultures work with different types of companies, what to avoid and the differences between building a data culture from scratch and changing an existing data culture from within. With this hands-on guide, senior data leader Shorful Islam takes readers through how to successfully establish or change a data culture, sharing his expertise in behavioural change psychology and two decades of experience in fostering data culture in organizations.Supported throughout by real-world examples and cases, this will be an essential read for all data leaders and anyone involved in developing a data-driven organizational culture.
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Participatory Culture, Community, and Play : Learning from Reddit
What does online community look like in the age of social networking?How do participatory culture platforms reflect both their designers’ intentions and the desires of their users?In this incisive and timely work, Adrienne L. Massanari discusses how culture is created and challenged on Reddit.com, the self-proclaimed «front page of the internet».Reddit enables the sharing of original and reposted content from around the web, and provides a platform for like-minded individuals to commune around topics of interest – everything from the joys of drinking beer in a shower (/r/showerbeer) to celebrating the pleasures of tidy penmanship (/r/penmanshipporn).Massanari’s ethnographic work provides a detailed examination of the contradictions that shape Reddit’s culture and how they reflect its role as an epicenter of geek culture.The book explores the ways in which community on Reddit is formed and solidified through play and humor, and the complex ways in which Redditors come together, which demonstrate a deep capacity for altruism and charitable giving, but can easily lapse into mob action.It also explores the community’s troubling gender and racial politics and how some Redditors are carving out their own space on the site to fight back.
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Statistics : Learning from Data
Learn how to think like a statistician with Peck/Case's STATISTICS: LEARNING FROM DATA, 3rd Edition.This updated edition addresses common obstacles to learning based on the latest research for mastering statistics and probability.The authors use proven methods to carefully explain areas where you are most likely to struggle -- probability, hypothesis testing and selecting an appropriate method of analysis.You strengthen your conceptual understanding, procedural fluency and ability to put knowledge into practice with this edition's learning objectives, real-data examples, updated exercises and technology notes.WebAssign digital resources and Cengage's Statistical Analysis and Learning Tool (SALT) are also available to guide you in thinking statistically.SALT is an easy-to-use data analysis tool that allows you to manipulate data sets in order to visualize statistics and gain a deeper conceptual understanding about the meaning behind the data.
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Data Science in Practice
Data Science in Practice is the ideal introduction to data science.With or without math skills, here, you get the all-round view that you need for your projects.This book describes how to properly question data, in order to unearth the treasure that data can be.You will get to know the relevant analysis methods, and will be introduced to the programming language R, which is ideally suited for data analysis.Associated tools like notebooks that make data science programming easily accessible are included in this introduction. Because technology alone is not enough, this book also deals with problems in project implementation, illuminates various fields of application, and does not forget to address ethical aspects.Data Science in Practice includes many examples, notes on errors, decision-making aids, and other practical tips.This book is ideal as a complementary text for university students, and is a useful learning tool for those moving into more data-related roles. Key Features: Success factors and tools for all project phases Includes application examples for various subject areas Introduces many aspects of Data Science, from requirements analysis to data acquisition and visualization
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What is Ajax data exchange?
Ajax data exchange is a technique used in web development to send and retrieve data from a server asynchronously without needing to reload the entire webpage. This allows for a more dynamic and interactive user experience as data can be updated in the background without disrupting the user's current activity on the webpage. Ajax data exchange typically involves using JavaScript to make requests to the server and handle the response data, often in formats like JSON or XML.
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How does data exchange work on eBay Classifieds?
On eBay Classifieds, data exchange works by allowing users to post listings and communicate with potential buyers or sellers. When a user posts a listing, they input data such as item description, price, and contact information. Other users can then view the listing and contact the seller to exchange further details or arrange a transaction. This data exchange allows for communication and negotiation between buyers and sellers, ultimately leading to the exchange of goods or services.
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How can one exchange image data on Discord?
To exchange image data on Discord, you can simply drag and drop the image file directly into the chat window or use the "Upload" button to select the image file from your computer. Once the image is uploaded, it will be displayed in the chat for others to see. Additionally, you can also use the "Attach" button to upload an image file from your computer or use the "Share" feature to share an image from another website or application. Discord also supports the use of image links, so you can simply paste the link to the image in the chat and it will be displayed for others to view.
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How can data exchange between PHP and Python occur?
Data exchange between PHP and Python can occur through various methods such as using APIs, serialization, or data formats like JSON or XML. One common approach is to use APIs to send and receive data between the two languages. Another method is to serialize the data in one language and then deserialize it in the other language. Additionally, using data formats like JSON or XML can help facilitate data exchange between PHP and Python by providing a standardized way to represent and transfer data.
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Understanding Data, Culture and Society
- How is data shaping our identities?- What was the 'data revolution', and how did it happen?- How will AI change our societies?We live in the age of datafication: every aspect of our lives has been captured and transformed into data, from our sleeping patterns and step counts to our buying habits and political views. In this exciting new textbook, you will discover the intricate ways in which data and society are interwoven. Explaining key concepts such as 'big data' and putting theory into practice throughout, this book will make you a better expert in data and society, offering an interdisciplinary overview of a rapidly evolving field. This textbook tackles the implications of big data for democracy, identity and the global economy, showing how we cannot view our lives as separate from the technologies we have come to rely on. With learning objectives, case studies, further reading and extra resources provided in each chapter, this book is the ideal companion for students in the digital humanities and social sciences looking to deepen their understanding of data, culture and society.
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Big Data in Education : The digital future of learning, policy and practice
Big data has the power to transform education and educational research.Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include:· The role of learning analytics and educational data science in schools· A critical appreciation of code, algorithms and infrastructures· The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments· Important digital research methods issues for researchers This is essential reading for anyone studying or working in today's education environment!
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Introduction to Community Development : Theory, Practice, and Service-Learning
Historical context, theoretical grounding, critical issues perspective, and the "how-to" for community developmentThis collection of work by leading community development scholars presents students with a theoretical and practical introduction to the field.The text progresses seamlessly from a theoretical overview to a historical overview to three approaches to community development (ecological, interactional, and structural-functional), then explores the practice of community development along with technical assistance, action research, evaluation research, and the role of local organizations, local leadership, and coalitions.The book concludes with critical issues, such as rural development, inner-city development, youth in community development, health care, public schools, and sustainable development. Key features include:New community development intervention models, using examples from recent events to demonstrate the strengths and challenges of such models Community service-learning activities, providing useful examples and case studies of successful service-learning programs in communities A hierarchy of learning activities and exercises within each chapter, ensuring that students learn how to apply concepts to real-world issues Relevant cases of successful community development interventions, giving students examples of 'best practices'Major trends, challenges, and prospects for the future in community development, helping students identify key issues and opportunities Instructor Teaching Site: Password-protected resources contain learning modules, developed by the authors, which include exercises and activities which reinforce chapter content, and demonstrate application of concepts in real-life communities. Student Study Site: Open-access study materials include chapter self-quizzes to aid content learning. This comprehensive, introductory survey text is designed for upper-level undergraduate and graduate courses in Community Development, Urban Studies, Rural Development, and Introduction to Service Learning found in departments of sociology, public administration, management, and social work.
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Training Data for Machine Learning
Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in deep learning systems relate to training data.But while training data is the foundation for successful machine learning, there are few comprehensive resources to help you ace the process.This hands-on guide explains how to work with and scale training data.Data science professionals and machine learning engineers will gain a solid understanding of the concepts, tools, and processes needed to: Design, deploy, and ship training data for production-grade deep learning applications Integrate with a growing ecosystem of tools Recognize and correct new training data-based failure modes Improve existing system performance and avoid development risks Confidently use automation and acceleration approaches to more effectively create training data Avoid data loss by structuring metadata around created datasets Clearly explain training data concepts to subject matter experts and other shareholders Successfully maintain, operate, and improve your system
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How can one exchange data with 15-17 year olds?
One can exchange data with 15-17 year olds through various methods such as online surveys, social media platforms, email, and interactive websites. It is important to ensure that the data exchange is done in a secure and confidential manner, and that the information provided is age-appropriate and relevant to their interests and experiences. Additionally, engaging in open and transparent communication with the teenagers about the purpose and use of the data can help build trust and encourage their participation.
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How can data exchange between PHP and Python be done?
Data exchange between PHP and Python can be done using various methods such as using APIs, serialization, or database communication. One common approach is to use APIs to send and receive data between the two languages. Another method is to serialize the data in one language and then deserialize it in the other language. Additionally, both PHP and Python can connect to the same database to exchange data, making it a convenient way to share information between the two languages.
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How can one continue to exchange data despite the distance?
One can continue to exchange data despite the distance by utilizing various communication technologies such as email, messaging apps, video conferencing, and file sharing platforms. These technologies allow for real-time or asynchronous communication, enabling individuals and organizations to share information, collaborate on projects, and stay connected regardless of their physical location. Additionally, cloud storage and virtual private networks (VPNs) can be used to securely store and access data from anywhere in the world. Overall, leveraging these tools and technologies can help facilitate seamless data exchange and collaboration across distances.
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How can you exchange the SIM card without losing data?
To exchange a SIM card without losing data, you can first back up your data to a cloud storage service or to your computer using a USB cable. Once your data is backed up, you can safely remove the old SIM card and insert the new one. After the new SIM card is inserted, you can restore your data from the backup you created. This way, you can ensure that your data is safely transferred to the new SIM card without any loss.
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