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What is TOGAF? An enterprise architecture methodology for business

CIO Business Intelligence

It was released as a reference model for enterprise architecture, offering insight into DoD’s own technical infrastructure, including how it’s structured, maintained, and configured to align with specific requirements. TOGAF 9 was introduced in 2009, with new details on the overall framework, including increased guidelines and techniques.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. We present the inner workings of the SMOTE algorithm and show a simple “from scratch” implementation of SMOTE. References. Banko, M., & Brill, E. link] Chawla, N. UCI machine learning repository.

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Data Science at The New York Times

Domino Data Lab

When he retired in 2009 he had some time on his hands. In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” One of the ways I frame that is, “Are you looking to build a predictive model? or a prescriptive model? or a descriptive model?”

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AML: Past, Present and Future Part I

Cloudera

And like background fireworks, the global banks have lit up their share of headlines, posting record fines (exceeding 342 billion dollars between the US and EU since 2009) for misconduct, including violation of anti-money laundering rules. History tells us that the AML landscape is constantly changing.