…for links to specific people is that they share a common property. For example, common interests or same origin. Homophily is a concept that stems from sociology where it usually…
…for links to specific people is that they share a common property. For example, common interests or same origin. Homophily is a concept that stems from sociology where it usually…
…has been categorized into two states. For example, Income has been categorized into High Income and Low Income. The arcs depict the dependencies. For example, Deposit is conditionally dependent on…
…increases, their accuracy and generalization power will decrease over time. Hence, a rock solid model governance infrastructure is key! Some common examples of deployment platforms that aim to offer solutions…
…a massive Chinese e-commerce app. AI doesn’t always need to be more human AI doesn’t need to be more human to serve human needs. It’s time for companies to stop…
…for Extreme Learned Image Compression Powerful compression using deep learning. Evolutionary Computation Bestiary A bestiary of evolutionary, swarm and other metaphor-based algorithms… what’s your favorite entry? GARS: a clustering-based Genetic…
…The engineered features can then be combined with other data, such as socio-demographic characteristics, to develop high performing scorecards. In our research, we found that combining CDR data with traditional…
…made. Compliance: From electronic logging devices (ELDs) and fuel tax to the FMCSA’s Compliance, Safety, Accountability (CSA) program, telematics helps keep drivers and organizations organized and ensures compliance with all…
By: Bart Baesens, Seppe vanden Broucke This QA first appeared in Data Science Briefings, the DataMiningApps newsletter as a “Free Tweet Consulting Experience” — where we answer a data science…
…information systems, or GIS) for predictive and descriptive purposes. This can range from rather simple use cases, for example extracting a feature vector from spatial components to be used in…
…forest). Consider the following network as an example: The nodes A, B, … represent customers (e.g. retail customers or companies). Filled in nodes represent fraudulent customers and white nodes non-fraudulent…