Concept

Wiki software

Related lectures (23)

Covers clustering time series data using dynamic time warping, string metrics, and Markov models.

Knowledge Representation: Semantics and Data Structures

Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.

Digital Urban History: Lausanne Time Machine

Delves into the Lausanne Time Machine project, focusing on digital urban history and interactive historical map creation.

Hertz Theory: Real Area of Contact

Explores Hertz theory for contact problems and the Tabor measurement method.

Deep Learning: Recurrent Neural Networks

Explores Recurrent Neural Networks for behavioral data, covering Deep Knowledge Tracing, LSTM, GRU networks, hyperparameter tuning, and time series prediction tasks.

Clustering Algorithms: K-Means vs Spectral Clustering

Compares K-Means and Spectral Clustering algorithms, highlighting their differences and practical applications in clustering student behaviors.

Deep Knowledge Tracing

Explores Deep Knowledge Tracing and its application in predicting student learning outcomes using neural networks and loss functions.

Foundations of Digital Humanities

Introduces 'Foundations of Digital Humanities', focusing on collaboration, course structure, labs, programs, and assessment criteria.

Digital Education Masterclass: Training for Experts

Series provides training for experts in digital education, covering LMS, flipped classrooms, content integration, and online course launch.

Computational Geomechanics

Covers the basics of computational geomechanics, including poroelasticity, plasticity, and numerical methods for solving geotechnical problems.

Explainability: Methods and Applications

Introduces interpretability methods like PDP and LIME for understanding model predictions.

Electromagnetic Radiation: Exact Solution

Explores the exact solution of electromagnetic radiation and its behavior in different media.

Advanced Features of a Learning Management System

Explores advanced features of an LMS, including grading policies, course organization, and practical sessions.

Introduction to Data Stream Processing

Covers the fundamentals of data stream processing, including tools like Apache Storm and Kafka, key concepts like event time and window operations, and the challenges of stream processing.

Knowledge Tracing

Delves into Bayesian Knowledge Tracing and Learning Curves, exploring the prediction of student knowledge over time and the importance of accurate performance measurement.

Training for Experts in Digital Education

Emphasizes selecting images to evoke positive emotions and clarify training content in digital education.

Fairness in Machine Learning

Explores sources of unfairness in machine learning, the importance of fairness metrics, and evaluating model predictions using various fairness metrics.

Alfresco Formation: Arondor Log in to Mediaspace to watch this video

Covers the Alfresco platform, focusing on document management and collaboration.

Alfresco Formation Overview Log in to Mediaspace to watch this video

Covers setting up Zoom meetings, managing instances on AWS, creating blog posts, managing users and groups, and utilizing advanced search features.

The Intervening Universe Log in to Mediaspace to watch this video

Explores the Event Horizon Telescope, cosmic microwave background, quasar absorption, and radio astronomy specifics.

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