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Related lectures (32)

Page 3 of 4

Introduction to Machine Learning: Course Overview and Basics

Introduces the course structure and fundamental concepts of machine learning, including supervised learning and linear regression.

Economy-wide Material Flow Accounts

Explores economy-wide material flow accounts, analyzing material flows in an economy and their environmental implications.

Digital History and Digitized Press

Delves into the 'digital turn' in history, examining historical research using digitized newspapers and exploring text reuse, word embeddings, and data visualization.

The importance of visualisation

Highlights the importance of visualization in neuroscience, showcasing its role as a complementary tool to analytical processes.

Large-Scale Data Commons: Venice Time Machine

Explores the evolution of the Time Machine project from Venice to Europe, showcasing the creation of large-scale Data commons.

Evolution of Data Visualization: Legrady's Artistic Works

Delves into George Legrady's evolution in data visualization from 1975 to 2009, exploring classification and translation into visual experiences.

Digital Urban History: QGIS Practical Session

Covers the practical use of QGIS for spatial data analysis and visualization, including georeferencing historical maps and manipulating vector data.

Data Visualization: Principles and Practices

Emphasizes the importance of data visualization techniques and practices for effective data analysis and communication.

Data Analysis: KMnO4 Concentrations

Covers the analysis of KMnO4 concentrations using data from a CSV file.

Machine Learning in Philanthropy and Non-Profit

Delves into the application of machine learning in enhancing human rights documentation and advocacy for organizations like HURIDOCS.