World of Data: Machine Learning and Value Chain

Description

This lecture explores the world of data, focusing on machine learning and the value chain. It covers the stages of algorithms/models, proprietary datasets, computation/training, and insight/innovation. The instructor discusses the importance of data, computation, and insights in the context of commercial value.

In MOOC

Official source

https://mediaspace.epfl.ch/media/0_cdew2xuk

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Related lectures (40)

Related concepts (36)

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Data processing

Data processing is the collection and manipulation of digital data to produce meaningful information. Data processing is a form of information processing, which is the modification (processing) of information in any manner detectable by an observer. The term "Data Processing", or "DP" has also been used to refer to a department within an organization responsible for the operation of data processing programs. Data processing may involve various processes, including: Validation – Ensuring that supplied data is correct and relevant.

Innovation

Innovation is the practical implementation of ideas that result in the introduction of new goods or services or improvement in offering goods or services. ISO TC 279 in the standard ISO 56000:2020 defines innovation as "a new or changed entity realizing or redistributing value". Others have different definitions; a common element in the definitions is a focus on newness, improvement, and spread of ideas or technologies.