Apprentice Origins: Venice's Garzoni Project

Related lectures (32)

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Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Covers data wrangling techniques using Apache Hive for efficient big data management.

Delves into the apprenticeship system in Venice between the 16th and 18th centuries, focusing on the 'garzoni'.

Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.

Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Showcases a digital humanities student's internship experience in trading intelligence and data analysis.

Delves into the lives of young apprentices in Venice and demonstrates data analysis with KNIME.

Covers the analysis of ECG heart rate data and respiratory flow measurements using Excel.

Covers the modeling of hydrological systems, focusing on the retention of floods and the example of the Routing System.