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Concept

Open data

Related lectures (32)

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Principal Component Analysis: Dimension Reduction

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Leveraging Big Data Analytics MOOC: Smart Cities, Management of Smart Urban Infrastructures

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Differential Equations and Heat Diffusion

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Big Data Ecosystems: Technologies and Challenges

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Implementation Research: Needs Assessment

Emphasizes the importance of needs assessment in implementation research using various methods and data sources.

Bulky Hamiltonian isotopies

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Model Database Resolution

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River Hydraulics and Modeling: Semi-Distributed Approach

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Maximum Likelihood Inference

Explores maximum likelihood inference, comparing models based on likelihood ratios and demonstrating with a coin example.

Singular Value Decomposition

Explores Singular Value Decomposition and its role in unsupervised learning and dimensionality reduction, emphasizing its properties and applications.

Big Data Best Practices and Guidelines

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Elements of Collaborative Data Science

Introduces collaborative data science tools like Jupyter notebooks, Docker, and Git, emphasizing data versioning and containerization.

Nexus Fusion: Collaborative Data Discovery MOOC: Simulation Neurocience

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Collaborative Data Science: Tools and Git Workflow

Explores tools like Git and Docker for collaborative data science projects.

ServiceNow: Creating Dashboards and Reports

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Logistic Regression: Vegetation Prediction

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Introduction to Renku Log in to Mediaspace to watch this video

Introduces Renku, a platform for collaborative data science, emphasizing reproducibility, shareability, reusability, and security.

Urban Metabolism Analysis Log in to Mediaspace to watch this video

Explores systemic environmental assessment, national material flow analysis, and urban metabolism dashboard development for Zurich using open data.