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Advanced Analytics | Data Visualization
Kevin Scott 0
The Empirical Mode Decomposition for handling non-stationary time series

Empirical Mode Decomposition (EMD) is a powerful time-frequency analysis technique that allows for the decomposition of a non-stationary and non-linear signal into a series of intrinsic mode functions (IMFs). The method was first introduced by Huang et al. in 1998 and has since been widely used in various fields, such as signal processing, image analysis, and biomedical engineering.

Analytics | Fraud & Security Intelligence
Modernizando las capacidades de investigación: Beneficios y mejores prácticas

En el ámbito de la seguridad, la capacidad de investigación es esencial. Sin embargo, en un mundo cada vez más digital, puede resultar difícil mantenerse al día con las últimas herramientas y técnicas para realizar investigaciones de manera eficiente y efectiva. En este post, exploraremos las mejores prácticas y beneficios

Analytics
Josh Morgan 0
5 mental health myths: What does the data say?

Mental Health Month is an important time to honor and raise awareness around mental illness and mental wellness. Correcting and combating stigma and discrimination, including with data, is one of the month’s major goals. It’s hard to talk about mental health without also addressing substance use disorders (including opioids), homelessness

Advanced Analytics | Analytics | Artificial Intelligence
Dwijendra Dwivedi 0
How optimization and AI can help automated decision making: Benefits, risks and limitations

As businesses continue to evolve and adapt to the changing landscape of the global economy, decision-making has become increasingly complex. To stay competitive and meet the growing demands of customers, businesses must adopt new technologies and strategies to streamline their operations and enhance the customer experience. This is where AI

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