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Related lectures (32)

Page 3 of 4

Association Rules

Explores Association Rule Mining, including support, confidence, single- and multi-dimensional rules, and the Apriori algorithm.

Water Consumption in Geneva

Explores water consumption data in Geneva, including charts on consumption and losses, available datasets, and data processing phases.

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.

Atomistic Machine Learning: Physics and Data

Explores Atomistic Machine Learning, integrating physical principles into models to predict molecular properties accurately.

When to Use Machine Learning

Explains the conditions for using machine learning in complex problems with patterns in data and access to a dataset.

Text Mining and Data Curation

Explores text mining, data curation, and brain connectivity in neuroscience.

Data Science Innovations: Insights, Challenges, and Future

Explores advancements in data science, focusing on fast insights, data variety, and real-time intelligent data systems.

Digital History Projects: Design and Analysis

Covers digital history projects, social relationships in research, data preprocessing challenges, and network analysis tools.

Data Preparation for Machine Learning: Categorical and Numerical Data

Explores data preparation for machine learning, emphasizing categorical to numerical conversion and effective data visualization techniques.

Distributed Information Systems: Course Overview

Introduces the Distributed Information Systems course, emphasizing key concepts and practical tools for data processing.