Explores the impact of big data, covering economic value, latency-sensitive and throughput-bound applications, graph analytics, and challenges in utilizing flash storage.
Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.
Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.
Covers graph processing with a focus on Oracle Labs PGX, discussing graph analytics, databases, algorithms, and distributed analytics challenges.
Covers the analysis of ergometry figures using Excel and the interpretation of respiratory and cardiovascular parameters.
Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.
Covers the fundamentals of data science, the scientific method evolution, the role of a data scientist, and the significance of data as the new oil.
Discusses the influence of Big Data on mobility planning and optimization, exploring its promises and limitations.
