Search Results - "sense"

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    Big Data in Bioeconomy Results from the European DataBio Project /

    Published 2021
    Table of Contents: “…Part I - Technological Foundation: Big Data Technologies for BioIndustries: Big Data Technologies in DataBio -- Standards and EO data platforms -- Data Types: Sensor Data -- Remote sensing -- Crowdsourced Data -- Genomics Data -- Data Integration and Modelling: Linked Data and Metadata -- Linked Data usages in Databio -- Data Pipelines: Modeling and Evaluation of models -- Analytics and visualization: Data Analytics and Machine Learning -- Real-time Data Processing -- Privacy Preserving Analytics, Processing and Data Management -- Data Visualisation -- Part II - Applications in Agriculture: Introduction Smart Agriculture -- Smart farming for sustainable agricultural production -- Genomics Biomass pilots -- Yield Prediction in Sorghum (Sorghum bicolor (L.) …”
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  9. 12329

    Multiple-Aspect Analysis of Semantic Trajectories First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceed...

    Published 2020
    Table of Contents: “…Learning from our Movements - The Mobility Data Analytics Era -- Uncovering hidden concepts from AIS data: A network abstraction of maritime traffic for anomaly detection -- Nowcasting Unemployment Rates with Smartphone GPS data -- Online long-term trajectory prediction based on mined route patterns -- EvolvingClusters: Online Discovery of Group Patterns in Enriched Maritime Data -- Prospective Data Model and Distributed Query Processing for Mobile Sensing Data Streams -- Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning -- A Neighborhood-augmented LSTM Model for Taxi-Passenger Demand Prediction -- Multi-Channel Convolutional Neural Networks for Handling Multi-Dimensional Semantic Trajectories and Predicting Future Semantic Locations.…”
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    National Reflections on the Netherlands Didactics of Mathematics Teaching and Learning in the Context of Realistic Mathematics Education /

    Published 2020
    Table of Contents: “…Mathematics and common sense - The Dutch School; Rijkje Dekker -- 5. Dutch mathematicians and mathematics education - A problematic relationship; Harm Jan Smid -- 6. …”
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    Understanding Values Work Institutional Perspectives in Organizations and Leadership /

    Published 2020
    Table of Contents: “…- experiences from Scandinavia -- The art of making sense of volunteering -- The value of group reflection.…”
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  14. 12334

    Consumption, Sustainability and Everyday Life

    Published 2023
    Table of Contents: “…Practical aeromobilities: making sense of environmentalist air-travel -- 9. Everyday life and how it changes: studying 'sustainable wellbeing' with students during a pandemic -- 10. …”
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    Emerging States at Crossroads

    Published 2019
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    Advanced High School Statistics by Diez, David, Barr, Christopher, Çetinkaya-Rundel, Mine, Dorazio, Leah

    Published 2019
    Table of Contents: “…1 Data collection -- 1.1 Case study -- 1.2 Data basics -- 1.3 Overview of data collection principles -- 1.4 Observational studies and sampling strategies -- 1.5 Experiments -- 2 Summarizing data -- 2.1 Examining numerical data -- 2.2 Numerical summaries and box plots -- 2.3 Considering categorical data -- 2.4 Case study: malaria vaccine (special topic) -- 3 Probability -- 3.1 Defining probability -- 3.2 Conditional probability -- 3.3 The binomial formula -- 3.4 Simulations -- 3.5 Random variables -- 3.6 Continuous distributions -- 4 Distributions of random variables -- 4.1 Normal distribution -- 4.2 Sampling distribution of a sample mean -- 4.3 Geometric distribution -- 4.4 Binomial distribution -- 4.5 Sampling distribution of a sample proportion -- 5 Foundation for inference -- 5.1 Estimating unknown parameters -- 5.2 Confidence intervals -- 5.3 Introducing hypothesis testing -- 5.4 Does it make sense? -- 6 Inference for categorical data -- 6.1 Inference for a single proportion -- 6.2 Difference of two proportions -- 6.3 Testing for goodness of fit using chi-square -- 6.4 Homogeneity and independence in two-way tables -- 7 Inference for numerical data -- 7.1 Inference for a mean with the t-distribution -- 7.2 Inference for paired data -- 7.3 Inference for the difference of two means -- 8 Introduction to linear regression -- 8.1 Line fitting, residuals, and correlation -- 8.2 Fitting a line by least squares regression -- 8.3 Inference for the slope of a regression line -- 8.4 Transformations for skewed data -- A Exercise solutions -- B Distribution tables -- C Distribution Tables -- D Calculator reference, Formulas, and Inference guide…”
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