This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
Credit card fraud is a growing problem that affects millions worldwide and costs businesses billions of dollars every year. As fraudsters become more sophisticated, traditional… Read More »How machine learning detects credit card fraud
Managing patient data is a massive challenge in healthcare due to the large amounts of information involved. Reverse ETL is a modern data integration method… Read More »Reverse ETL in healthcare: Enhancing patient data management
Today businesses increasingly rely on data-driven insights for strategic decisions, making data analysts hold the critical responsibility of scrutinizing and interpreting complex data sets to… Read More »How a data analyst career can be stressful
Building a data-driven culture is all about leveraging data to make decisions and solve problems. In such organizations, people rely on data to guide their… Read More »How data governance contributes to a data-driven culture
An interview with Nipa Basu, Global and North American Practice Director, Digital Intelligence, GHD Digital Nipa Basu, PhD Dr. Basu leads the Digital Intelligence practice… Read More »Hands-on data science where ESG matters most
Image by Gerd Altmann from Pixabay In March 2024, dbt Labs, a freemium platform and tools provider focused on helping organizations with their data transformation… Read More »What’s behind the data quality struggle in enterprises?
Image by Andrew Martin from Pixabay Data governance expert Malcolm Chisholm asked a rhetorical question on LInkedin in June 2024: “Is the Cloud the biggest… Read More »How knowledge graphs + LLMs enable AI efficiency and trust
SwissVault has been a game-changer since I first encountered them. Their groundbreaking approach to data storage has left a lasting impression on me, particularly their ability to combine high performance with environmental sustainability. This episode was an eye-opener for many reasons, and I believe it showcased the future of data storage.
Three years after the outbreak of the COVID-19 pandemic, the lingering impacts of the viral outbreak and the risk of another deadly pathogen spreading around… Read More »How informatics, ML, and AI can better prepare the healthcare industry for the next global pandemic
Data science in today’s business world is serving as the lifeblood of decision-making. Be it optimizing marketing campaigns or predicting financial trends, data science comes… Read More »Essential components of data science to be aware of in today’s world
