Products related to Based:
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Satellite-Based Fusion of Image/Inertial Sensors for Precise Geolocation
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Marketing Analytics : Based on First Principles
All customers differ. All customers change. All competitors react. All resources are limited. Robert W. Palmatier’s dynamic First Principles of Marketing framework provides the structure for this research-based, action-orientated guide to organizing analytics tools, marketing models and methodologies. When should you use a specific technique in data analytics?How does each new analytics technique improve performance?Which techniques are worth time and investment to implement? As organizations prioritize digital growth to better connect with customers, it is vital that you are able to respond confidently to these questions, enabling you to utilize marketing analytics to better understand your business and increase revenue. Marketing Analytics will help you to:· Learn how to contextualize models and statistical analysis within the foundational principles of marketing through the use of a problem-centric framework. · Understand technical analyses by engaging with a pertinent range of vivid examples, and a running case study to contextualize practical, jargon-free descriptions. · Embark on an applied learning pathway with a comprehensive companion website including datasets and walk-through videos on challenging tasks: bloomsbury.pub/marketing-analytics. · Take a software-agnostic approach to learning, enhanced by the provision of examples in free, open-source R and Tableau software. Authored by world-leading experts in marketing strategy, Marketing Analytics is the ideal textbook for advanced undergraduate, postgraduate and MBA students of marketing, and practitioners seeking to direct effective strategy from an analysis-based evidential approach.
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Preference-based Spatial Co-location Pattern Mining
The development of information technology has made it possible to collect large amounts of spatial data on a daily basis.It is of enormous significance when it comes to discovering implicit, non-trivial and potentially valuable information from this spatial data.Spatial co-location patterns reveal the distribution rules of spatial features, which can be valuable for application users.This book provides commercial software developers with proven and effective algorithms for detecting and filtering these implicit patterns, and includes easily implemented pseudocode for all the algorithms.Furthermore, it offers a basis for further research in this promising field. Preference-based co-location pattern mining refers to mining constrained or condensed co-location patterns instead of mining all prevalent co-location patterns.Based on the authors’ recent research, the book highlights techniques for solving a range of problems in this context, including maximal co-location pattern mining, closed co-location pattern mining, top-k co-location pattern mining, non-redundant co-location pattern mining, dominant co-location pattern mining, high utility co-location pattern mining, user-preferred co-location pattern mining, and similarity measures between spatial co-location patterns. Presenting a systematic, mathematical study of preference-based spatial co-location pattern mining, this book can be used both as a textbook for those new to the topic and as a reference resource for experienced professionals.
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Interactive Web-Based Data Visualization with R, plotly, and shiny
The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis.It is written for the data analyst who wants to leverage the capabilities of interactive web graphics without having to learn web programming.Through many R code examples, you will learn how to tap the extensive functionality of these tools to enhance the presentation and exploration of data.By mastering these concepts and tools, you will impress your colleagues with your ability to quickly generate more informative, engaging, and reproducible interactive graphics using free and open source software that you can share over email, export to pdf, and more. Key Features: Convert static ggplot2 graphics to an interactive web-based form Link, animate, and arrange multiple plots in standalone HTML from R Embed, modify, and respond to plotly graphics in a shiny app Learn best practices for visualizing continuous, discrete, and multivariate data Learn numerous ways to visualize geo-spatial dataThis book makes heavy use of plotly for graphical rendering, but you will also learn about other R packages that support different phases of a data science workflow, such as tidyr, dplyr, and tidyverse.Along the way, you will gain insight into best practices for visualization of high-dimensional data, statistical graphics, and graphical perception.The printed book is complemented by an interactive website where readers can view movies demonstrating the examples and interact with graphics.
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What is spatial visualization ability?
Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.
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Why is routing not done based on the MAC address?
Routing is not done based on the MAC address because MAC addresses are only relevant within a local network, and they are not routable across different networks. Routing is done based on the IP address because it provides a logical addressing scheme that can be used to route traffic across different networks. IP addresses are hierarchical and can be used to identify the network and the specific host within that network, making them suitable for routing traffic across different networks. Additionally, IP addresses can be assigned dynamically, allowing for more flexibility in network configurations.
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Is spatial visualization important for engineers?
Yes, spatial visualization is important for engineers as it allows them to mentally manipulate and understand complex 3D objects and structures. Engineers often need to design and analyze various components and systems, and spatial visualization skills help them to conceptualize and communicate their ideas effectively. Whether it's designing a new product, creating blueprints for a building, or solving complex problems, spatial visualization is a crucial skill that allows engineers to think critically and innovate in their field.
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Can one improve their spatial visualization skills?
Yes, it is possible to improve spatial visualization skills through practice and training. Engaging in activities such as puzzles, building models, and playing spatial reasoning games can help develop these skills. Additionally, practicing mental rotation exercises and regularly challenging oneself with spatial tasks can also contribute to improvement. With consistent effort and dedication, individuals can enhance their spatial visualization abilities over time.
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Culture Analytics : An Evidence-Based Approach to Company Culture
How can I take a data-driven approach to company culture?What should I measure and which metrics should I focus on?How can 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.
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Marketing Strategy : Based on First Principles and Data Analytics
Marketing Strategy offers a unique and dynamic approach based on four underlying principles that underpin marketing today: All customers differ; All customers change; All competitors react; and All resources are limited.The structured framework of this acclaimed textbook allows marketers to develop effective and flexible strategies to deal with diverse marketing problems under varying circumstances.Uniquely integrating marketing analytics and data driven techniques with fundamental strategic pillars the book exemplifies a contemporary, evidence-based approach.This base toolkit will support students’ decision-making processes and equip them for a world driven by big data.The second edition builds on the first’s successful core foundation, with additional pedagogy and key updates. Research-based, action-oriented, and authored by world-leading experts, Marketing Strategy is the ideal resource for advanced undergraduate, MBA, and EMBA students of marketing, and executives looking to bring a more systematic approach to corporate marketing strategies. New to this Edition:- Revised and updated throughout to reflect new research and industry developments, including expanded coverage of digital marketing, influencer marketing and social media strategies- Enhanced pedagogy including new Worked Examples of Data Analytics Techniques and unsolved Analytics Driven Case Exercises, to offer students hands-on practice of data manipulation as well as classroom activities to stimulate peer-to-peer discussion- Expanded range of examples to cover over 250 diverse companies from 25 countries and most industry segments- Vibrant visual presentation with a new full colour designAccompanying online resources for this title can be found at bloomsburyonlineresources.com/marketing-strategy-2e.These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
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Azure Databricks Cookbook : Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service
Get to grips with building and productionizing end-to-end big data solutions in Azure and learn best practices for working with large datasetsKey FeaturesIntegrate with Azure Synapse Analytics, Cosmos DB, and Azure HDInsight Kafka Cluster to scale and analyze your projects and build pipelinesUse Databricks SQL to run ad hoc queries on your data lake and create dashboardsProductionize a solution using CI/CD for deploying notebooks and Azure Databricks Service to various environmentsBook DescriptionAzure Databricks is a unified collaborative platform for performing scalable analytics in an interactive environment.The Azure Databricks Cookbook provides recipes to get hands-on with the analytics process, including ingesting data from various batch and streaming sources and building a modern data warehouse. The book starts by teaching you how to create an Azure Databricks instance within the Azure portal, Azure CLI, and ARM templates.You’ll work through clusters in Databricks and explore recipes for ingesting data from sources, including files, databases, and streaming sources such as Apache Kafka and EventHub.The book will help you explore all the features supported by Azure Databricks for building powerful end-to-end data pipelines.You'll also find out how to build a modern data warehouse by using Delta tables and Azure Synapse Analytics.Later, you’ll learn how to write ad hoc queries and extract meaningful insights from the data lake by creating visualizations and dashboards with Databricks SQL.Finally, you'll deploy and productionize a data pipeline as well as deploy notebooks and Azure Databricks service using continuous integration and continuous delivery (CI/CD). By the end of this Azure book, you'll be able to use Azure Databricks to streamline different processes involved in building data-driven apps.What you will learnRead and write data from and to various Azure resources and file formatsBuild a modern data warehouse with Delta Tables and Azure Synapse AnalyticsExplore jobs, stages, and tasks and see how Spark lazy evaluation worksHandle concurrent transactions and learn performance optimization in Delta tablesLearn Databricks SQL and create real-time dashboards in Databricks SQLIntegrate Azure DevOps for version control, deploying, and productionizing solutions with CI/CD pipelinesDiscover how to use RBAC and ACLs to restrict data accessBuild end-to-end data processing pipeline for near real-time data analyticsWho this book is forThis recipe-based book is for data scientists, data engineers, big data professionals, and machine learning engineers who want to perform data analytics on their applications.Prior experience of working with Apache Spark and Azure is necessary to get the most out of this book.
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Cognitive Mapping for Problem-based and Inquiry Learning : Theory, Research, and Assessment
This book studies how to improve problem-based and inquiry-based learning by incorporating cognitive maps. Problem-based learning and cognitive mapping are reviewed from the perspective of both learning sciences and cognitive sciences, including the underpinning theories of experiential learning, situated learning, collaborative learning, meaningful learning, externalized representations, and visual representations.The result is a comprehensive review and analysis of cognitive mapping-supported problem-based learning, with the topic discussed from cognitive, metacognitive, social, and motivational and emotional perspectives.Furthermore, the author presents a theory-driven design, implementation, and analysis of design-based research to improve problem-based learning using cognitive mapping. The book will provide implications for researchers and practitioners of learning sciences, psychology, instructional systems, and cognitive tools.
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What are problems with spatial visualization skills?
Some problems with spatial visualization skills include difficulty in understanding and interpreting maps, graphs, and diagrams. Individuals with poor spatial visualization skills may struggle with tasks such as navigating through unfamiliar environments, understanding 3D objects, and mentally rotating objects. This can impact their performance in subjects such as math, science, and engineering, as well as in everyday activities such as driving and assembling furniture. Additionally, poor spatial visualization skills can lead to frustration and decreased confidence in one's abilities.
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What is the function of spatial visualization ability?
Spatial visualization ability allows individuals to mentally manipulate and understand spatial relationships between objects. This ability is crucial in fields such as engineering, architecture, and design, where individuals need to visualize and manipulate complex 3D objects and structures. It also plays a key role in tasks such as navigation, map reading, and understanding geometric concepts. Overall, spatial visualization ability is important for problem-solving, creativity, and understanding the physical world.
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Water-based or silicone-based?
The choice between water-based and silicone-based lubricants depends on personal preference and intended use. Water-based lubricants are versatile, easy to clean, and compatible with most sex toys, but may require more frequent reapplication. Silicone-based lubricants are longer-lasting, great for water play, and have a silkier feel, but can be harder to clean and may not be compatible with silicone sex toys. Ultimately, it's important to consider your specific needs and preferences when choosing between water-based and silicone-based lubricants.
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What does it mean if someone lacks spatial visualization skills?
If someone lacks spatial visualization skills, it means that they have difficulty mentally manipulating and understanding spatial relationships between objects and shapes. This can manifest as challenges in tasks such as reading maps, understanding 3D objects, or visualizing how objects fit together in space. People with this difficulty may struggle with activities such as assembling furniture, reading graphs, or understanding geometric concepts. It's important to note that lacking spatial visualization skills does not indicate a lack of intelligence, but rather a specific cognitive challenge in this area.
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