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Related lectures (42)
Spark Data Frames
Covers Spark Data Frames, distributed collections of data organized into named columns, and the benefits of using them over RDDs.
General Introduction to Big Data
Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
Data Science Visualization with Pandas
Covers data manipulation and exploration using Python with a focus on visualization techniques.
Elements of Collaborative Data Science
Introduces collaborative data science tools like Jupyter notebooks, Docker, and Git, emphasizing data versioning and containerization.
Introduction to Data Science
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Structures and Mechanisms: Opening a Box
Explores the analysis of structures and mechanisms through a sample problem of opening a box with a string-held lid.
Continuum Mechanics at EPFL: Research and Applications
Explores EPFL's research in continuum mechanics, covering topics like plasticity, fracture, and fluid-structure interaction.
Introduction to Renku
Introduces Renku, a platform for collaborative data science, emphasizing reproducibility, shareability, reusability, and security.
Designing Experiments and Measuring Learning
Explores experimental design challenges in social sciences, emphasizing hypothesis formulation, variable control, and bias mitigation.
3D Stone Scanning Session
Introduces a 'professional' 3D measurement system for stone analysis and feature extraction using stereo photogrammetry and structured light technologies.