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Association Rules Mining
Graph Chatbot
Related lectures (32)
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Overview: Information Management
Explores levels of data abstraction, model building, usage, and representation, and the utility of information systems for decision-making.
Big Data: Processing and Dimensions
Explores Big Data generation, storage, processing, and dimensions, along with challenges in data analytics, cloud computing elasticity, and security.
Data Wrangling with Hive: Managing Big Data Efficiently
Covers data wrangling techniques using Apache Hive for efficient big data management.
Data Analysis: KMnO4 Concentrations
Covers the analysis of KMnO4 concentrations using data from a CSV file.
Atomistic Machine Learning: Physics and Data
Explores Atomistic Machine Learning, integrating physical principles into models to predict molecular properties accurately.
Digital History Projects: Design and Analysis
Covers digital history projects, social relationships in research, data preprocessing challenges, and network analysis tools.
Graph Mining: Social Networks Analysis
Explores graph mining in social networks, covering modularity algorithms and community detection.
Regulations: Figures of Regulations
Covers the analysis of ECG heart rate data and respiratory flow measurements using Excel.
Data Preparedness: Improving Response through Information Management
Emphasizes the importance of data preparedness in disaster response and explores strategies for addressing information gaps and overloads.
Data Science and Education at EPFL
Explores the development of data science, education initiatives, and challenges in bridging the gap between data scientists and domain experts at EPFL.
