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Author: Steven Simske
Publisher: Morgan Kaufmann
ISBN: 0128146249
Category : Computers
Languages : en
Pages : 342
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Book Description
Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics approaches. The book is 'meta' to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance. Inn addition, the analytics within can be applied to predictive algorithms for everyone from police departments to sports analysts. - Provides comprehensive and systematic coverage of machine learning-based data analysis tasks - Enables rapid progress towards competency in data analysis techniques - Gives exhaustive and widely applicable patterns for use by data scientists - Covers hybrid or 'meta' approaches, along with general analytics - Lays out information and practical guidance on data analysis for practitioners working across all sectors
Author: Steven Simske
Publisher: Morgan Kaufmann
ISBN: 0128146249
Category : Computers
Languages : en
Pages : 342
Get Book Here
Book Description
Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics approaches. The book is 'meta' to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance. Inn addition, the analytics within can be applied to predictive algorithms for everyone from police departments to sports analysts. - Provides comprehensive and systematic coverage of machine learning-based data analysis tasks - Enables rapid progress towards competency in data analysis techniques - Gives exhaustive and widely applicable patterns for use by data scientists - Covers hybrid or 'meta' approaches, along with general analytics - Lays out information and practical guidance on data analysis for practitioners working across all sectors
Author: Natalie Mizik
Publisher: Edward Elgar Publishing
ISBN: 1784716758
Category : Business & Economics
Languages : en
Pages : 713
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Book Description
Marketing Science contributes significantly to the development and validation of analytical tools with a wide range of applications in business, public policy and litigation support. The Handbook of Marketing Analytics showcases the analytical methods used in marketing and their high-impact real-life applications. Fourteen chapters provide an overview of specific marketing analytic methods in some technical detail and 22 case studies present thorough examples of the use of each method in marketing management, public policy, and litigation support. All contributing authors are recognized authorities in their area of specialty.
Author: Rama Nolan
Publisher: Rama Nolan
ISBN:
Category : Computers
Languages : en
Pages : 83
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Book Description
Unlock the full power of Facebook and Instagram ads to take your brand to the next level in the metaverse with Meta Ads Mastery! Whether you're an entrepreneur, digital marketer, or business owner, this guide by Rama Nolan reveals everything you need to create lean, high-impact advertising campaigns on Meta’s platforms. In this game-changing book, you’ll discover how to: Harness SEO and Social Media Marketing to drive traffic, build authority, and dominate Google search. Master Facebook and Instagram Ads with targeting strategies, eye-catching visuals, and campaign structures that convert. Build an Unstoppable Brand with a data-driven approach that scales, using lean marketing principles to maximize every dollar. Engage Users in the Metaverse, creating immersive, interactive experiences that captivate audiences in virtual spaces. With insights on optimizing Google SEO, building a high-converting website, and using data analytics to track success, Meta Ads Mastery is the ultimate toolkit for conquering digital advertising. Ready to outsmart your competition and dominate the online landscape? Start your journey with Rama Nolan’s proven strategies and watch your brand skyrocket!
Author: Pablo Moscato
Publisher: Springer
ISBN: 3030062228
Category : Computers
Languages : en
Pages : 1000
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Book Description
This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.
Author: Daniel Diermeier
Publisher: University of Chicago Press
ISBN: 022602962X
Category : Business & Economics
Languages : en
Pages : 523
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Book Description
"An analytical approach to corporate reputations from its leading scholar. Public perception, especially in the time of social media, is a core determinant of any organization's success and longevity. It is also fickle: organizations can fall astray of public approval through crisis, mismanagement, or sudden shifts in the public sensibility. In Reputation Analytics, Daniel Diermeier offers the first scientific framework for understanding and managing the vagaries of corporate reputation and public opinion. Drawing on a political scientist's understanding of the formation and dynamics of public opinion, Diermeier infuses his approach with lessons from game theory, psychology, and text analytics to produce a rigorous, altogether original approach that will have immediate application in both scholarship and practice. A milestone work from one of social science's most eminent scholars, Reputation Analytics ushers a new and advanced understanding on a topic that has long eluded such treatment-and an essential work for readers across industry and academics"--
Author: Hani Nabeel
Publisher: Kogan Page Publishers
ISBN: 1398617482
Category : Business & Economics
Languages : en
Pages : 361
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Book Description
How can I take a data-driven approach to company culture? What should I measure and which metrics should I focus on? How can I use people analytics and behavioural science impact culture? Based on insights from the largest ever behavioural research study which examined the organizational impact of 220+ behaviours from 60 organizations, across 61 countries, Culture Analytics provides an evidence-based approach to organizational culture. It outlines the leading and lagging culture indicators, explains how to identify actionable insights from your people and culture data as well as how to apply predictive analytics to company culture. There is also guidance on the 30 employee behaviours which have the most impact on company culture and how to apply behavioural science interventions to drive these in your organization. The second part of the book covers key areas where culture analytics can be applied to drive business performance. These areas include talent acquisition and retention, employee engagement, EDI (equity, diversity and inclusion), wellbeing, psychological safety as well as resilience, strategy, innovation, change management and risk. Full of practical advice, this book also includes real world examples from Barclays, Pfizer, American Airlines, EDF Energy, Saudi Telecom Company, Cisco and Ethiad Airways. Making the complex world of people analytics and behavioural science accessible and applicable to all senior HR professionals and business leaders, Culture Analytics shows how to take a robust, evidence-based approach to company culture to drive workforce and organizational performance and deliver tangible business value.
Author: Muhittin Sahin
Publisher: Springer Nature
ISBN: 3030812227
Category : Education
Languages : en
Pages : 624
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Book Description
This edited volume fills the gaps in existing literature on visualization and dashboard design for learning analytics. To do so, it presents critical tips to stakeholders and acts as guide to efficient implementation. The book covers the following topics: visualization and dashboard design for learning analytics, visualization and dashboard preferences of stakeholders, learners’ patterns on the dashboard, usability of visualization techniques and the dashboard, dashboard and intervention design, learning and instructional design for learning analytics, privacy and security issues about the dashboard, and future directions of visualization and dashboard design. This book will be of interest to researchers with interest in learning analytics and data analytics, teachers and students in higher education institutions and instructional designers, as it includes contributions from a wide variety of educational and psychological researchers, engineers, instructional designers, learning scientists, and computer scientists interested in learning analytics.
Author: Marc Garreau
Publisher: Simon and Schuster
ISBN: 1638356254
Category : Computers
Languages : en
Pages : 463
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Book Description
Summary With Redux in Action, you'll discover how to integrate Redux into your React application and development environment. With the insights you glean from the experience of authors Marc Garreau and Will Faurot, you'll be more than confident in your ability to solve your state management woes with Redux and focus on developing the apps you need! Foreword by Mark Erikson, Redux co-maintainer. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology With Redux, you manage the state of a web application in a single, simple object, practically eliminating most state-related bugs. Centralizing state with Redux makes it possible to quickly start saved user sessions, maintain a reliable state history, and smoothly transfer state between UIs. Plus, the Redux state container is fully programmable and integrates cleanly with React and other popular frameworks. About the Book Redux in Action is an accessible guide to effectively managing state in web applications. Built around common use cases, this practical book starts with a simple task-management application built in React. You'll use the app to learn the Redux workflow, handle asynchronous actions, and get your hands on the Redux developer tools. With each step, you'll discover more about Redux and the benefits of centralized state management. The book progresses to more-complex examples, including writing middleware for analytics, time travel debugging, and an overview of how Redux works with other frameworks such as Angular and Electron. What's Inside Using Redux in an existing React application Handling side effects with the redux-saga library Consuming APIs with asynchronous actions Unit testing a React and Redux application About the Reader For web developers comfortable with JavaScript and React. About the Author Marc Garreau has architected and executed half a dozen unique client-side applications using Redux. Will Faurot is a mentor for Redux developers of all skill levels. Table of Contents Introducing Redux Your first Redux application Debugging Redux applications Consuming an API Middleware Handling complex side effects Preparing data for components Structuring a Redux store Testing Redux applications Performance Structuring Redux code Redux beyond React
Author: Andrew Banasiewicz
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3111001768
Category : Business & Economics
Languages : en
Pages : 300
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Book Description
The explosive growth in volume and varieties of data generated by the seemingly endless arrays of digital systems and applications is rapidly elevating the importance of being able to utilize data; in fact, data analytic literacy is becoming as important now, at the onset of the Digital Era, as rudimentary literacy and numeracy were throughout the Industrial Era. And yet, what constitutes data analytic literacy is poorly understood. To some, data analytic literacy is the ability to use basic statistics, to others it is data science ‘light’, and to still others it is just general familiarity with common data analytic outcomes. Exploring the scope and the structure of rudimentary data analytic competencies is at the core of this book which takes the perspective that data analytics is a new and distinct domain of knowledge and practice. It offers application-minded framing of rudimentary data analytic competencies built around conceptually sound and practically meaningful processes and mechanics of systematically transforming messy and heterogeneous data into informative insights. Data Analytic Literacy is meant to offer an easy-to-follow overview of the critical elements of the reasoning behind basic data manipulation and analysis approaches and steps, coupled with the commonly used data analytic and data communication techniques and tools. It offers an all-inclusive guide to developing basic data analytic competencies.
Author: Patsy D. Moskal
Publisher: Taylor & Francis
ISBN: 100092923X
Category : Education
Languages : en
Pages : 364
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Book Description
Data Analytics and Adaptive Learning offers new insights into the use of emerging data analysis and adaptive techniques in multiple learning settings. In recent years, both analytics and adaptive learning have helped educators become more responsive to learners in virtual, blended, and personalized environments. This set of rich, illuminating, international studies spans quantitative, qualitative, and mixed-methods research in higher education, K–12, and adult/continuing education contexts. By exploring the issues of definition and pedagogical practice that permeate teaching and learning and concluding with recommendations for the future research and practice necessary to support educators at all levels, this book will prepare researchers, developers, and graduate students of instructional technology to produce evidence for the benefits and challenges of data-driven learning.
