Connectivity analytics is an emerging discipline that helps to explore the interrelated connections and effects between people, products, processes, machines, and systems within a network by mapping these connections and continuously monitoring the interactions between them. For example, the influence of opinion leaders has been used to answer difficult and persistent business questions about temporal relationships between nodes in the assessment of external event or actors on financial risk and network performance evaluation.
In AI and machine learning projects, instead of processing raw data directly, it is necessary to make it more meaningful and processable. An important concept that comes into play at this point is Embedding.
Variational Autoencoders (VAE) are a powerful model in the world of deep learning and are used to discover hidden structures in data.
The logical analysis platform is a feature-rich technology solution designed to meet the needs of large enterprises.
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