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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. In their 2002 paper Chawla et al. 2002) have performed a comprehensive evaluation of the impact of SMOTE- based up-sampling.

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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. Its digital transformation process can be divided into several stages, according to Mohammed, each with its own objectives and challenges.

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IT leaders weigh up AI’s role to improve data management

CIO Business Intelligence

The data is then re-transported when the line is available. This doesn’t detract from the fact it’s a very advanced clinical data collection system since it’s digital, in real time, and secure because the data is encrypted on VPN and sent to Emergency’s central data center in Milan.

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Why Easier Governance Is Superior Governance

Alation

Today organizations view data as the “new oil”, an asset that, if used wisely, can support innovation while providing a meaningful competitive advantage and a better customer experience. And with data collection and replication growing so quickly, governance is more important than ever.

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Unintentional data

The Unofficial Google Data Science Blog

Implicitly, there was a prior belief about some interesting causal mechanism or an underlying hypothesis motivating the collection of the data. As computing and storage have made data collection cheaper and easier, we now gather data without this underlying motivation. 109:2211–2213. [3] 3] Hill, A. 45, 499–515. [5]

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ESG Management Software is Essential for Efficient Compliance

David Menninger's Analyst Perspectives

Im focusing here on the environmental aspects of ESG compliance because they are the most challenging, especially in the data collection and analysis. Most of the data for the social elements are brought together and can be reported in existing systems, especially human capital management.

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