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Offline evaluation is a major gateway before online evaluation of ranking models in A/B testing. Standard offline metrics measure predictive accuracy, but are only a surrogate for downstream utility:
Combating money laundering requires cross-border cooperation among regulators, financial intelligence units (FIUs), and financial institutions. This module covers the FATF's role in setting global standards and conducting mutual evaluations, the Egmont Group for FIU information sharing, the implications of beneficial ownership transparency registers (US FinCEN BOI, EU registers), international sanctions coordination, and 2025-2026 trends including the global push for beneficial ownership transparency, FATF grey-listing impact, the rise of public-private partnerships (PPP) for AML information sharing, and the growing role of AI in cross-border data analysis.
Poor data quality costs organizations millions. This beginner module covers the six dimensions of data quality (accuracy, completeness, consistency, timeliness, validity, uniqueness), how to measure them, and basic monitoring techniques.
Risk and return are the two fundamental concepts in investing. This beginner module explains types of investment risk (market, credit, liquidity, concentration), the risk-return tradeoff, diversification basics, and how to think about portfolio construction.
Trending (HackerNews, 2026-06-02) Iran stops negotiations with U.S., vows to 'completely' block Strait of Hormuz (discussion) (101 pts) Show HN: Eyeball (discussion) (60 pts) The Infosec Phraseboo