Concept

Data processing

Related lectures (32)

Excel Upgrade: Advanced Functions and Data Analysis

Covers advanced Excel functions and data analysis techniques, including automatic recording and using Solver.

Data Analysis: KMnO4 Concentrations

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

Biomechanics: Velocity Analysis

Explores the analysis of velocity data in biomechanics using Excel for visualization and interpretation.

Advanced Spark Optimizations and Partitioning

Covers advanced Spark optimizations, memory management, shuffle operations, and data partitioning strategies to improve big data processing efficiency.

Digital Humanities Workflow

Explores the workflow in Digital Humanities, emphasizing data collection and visualization.

Management of Fever in Children: Measurement and Examples

Explores the measurement and operationalization of outcomes in managing fever in children under five through examples and data collection approaches.

Data Characterization: PCA & Spike Sorting

Explores PCA for data simplification and Spike Sorting for shape identification.

Industry Internship Experience: Trading Intelligence and Data Analysis

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

Apache Spark Ecosystem: Basics and Operations

Provides an overview of the Apache Spark ecosystem, covering basics, operations, and key components.

Machine Learning for Behavioral Data

Introduces a course on Machine Learning for Behavioral Data at EPFL, covering ML algorithms, data handling, and model evaluation.

Deanonymization Exercise

Explores deanonymization using public datasets from Netflix, focusing on matching users and evaluating films based on ratings.

Spark DataFrames: Basics and Optimization

Covers the basics of Spark DataFrames, their advantages, performance comparison with RDDs, and practical demos.

Automating Scanning Probe Microscopy: Techniques and Applications

Covers the integration of machine learning with scanning probe microscopy for enhanced automation and efficiency in scientific workflows.

Data Analysis to AI and ML, Social Media

Explores the evolution from data analysis to AI and ML, emphasizing big data, machine learning, and social media interaction.

Atomistic Machine Learning: Physics and Data

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

Neural Signals and Signal Processing

Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.

Handling Data: Intro to Pandas

Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.

Internship Insights: Enhancing Code Generation with LLMs

Details an internship project focused on improving code generation accuracy using large language models and a new framework called EPIGEN.

Gender, Sex & Intersectionality: Chapter 2

Explores the significance of intersectional gender analysis in implementation research for diseases of poverty, emphasizing transformative goals and inclusivity.

Headline Analysis: Language Impact & Success

Explores the influence of language on headline success through real-world data analysis and statistical testing.