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Building a European Time Machine
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Related lectures (32)
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Introduction to R Programming for Genetics & Genomics
Introduces a course on Genetics & Genomics, focusing on R programming with interactive exercises.
Handling Data: Data Models and Wrangling
Explores data handling fundamentals, including models, sources, and wrangling, emphasizing the importance of understanding and addressing data problems.
Cache Memory
Explores cache memory design, hits, misses, and eviction policies in computer systems, emphasizing spatial and temporal locality.
Big Data Ecosystems: Technologies and Challenges
Covers the fundamentals of big data ecosystems, focusing on technologies, challenges, and practical exercises with Hadoop's HDFS.
Digital Transformation: Solutions and Data
Explores digital transformation opportunities, big data, analytics, and technology innovations in business and research.
Annual Flood Flow Analysis: Gumbel Method
Covers the analysis of annual flood flows using the Gumbel method and practical applications in hydraulic engineering.
Maximum Likelihood: Inference and Model Comparison
Explores maximum likelihood inference, model selection, and comparing models using likelihood ratios.
Water Consumption in Geneva
Explores water consumption data in Geneva, including charts on consumption and losses, available datasets, and data processing phases.
Introduction to Spark Runtime Architecture
Introduces Apache Spark, covering its architecture, RDDs, transformations, actions, fault tolerance, deployment options, and practical exercises in Jupyter notebooks.
Introduction to Data Stream Processing: Concepts and Applications
Covers the principles of data stream processing and its applications in real-time data analysis.
