The logical analysis platform is a feature-rich technology solution designed to meet the needs of large enterprises. Typically, it combines different “tools and logical analysis systems with an engine to execute a database or warehouse to store and manage data, data mining processes and techniques and mechanisms used to obtain and prepare non-stored data. This solution can only be delivered in the form of software application or in the form of a cloud-based software (SaaS) as a service provided to organizations that need analytical information based on existing data records, or in the form of contextual information to which all their data points, in other words, analytical information based on existing data records.” Source: Techopedia
In the field of artificial intelligence and machine learning, various sampling methods are used to generate new data using the information learned by the models.
Julia is an open-source, dynamic, high-level programming language designed for high-performance scientific computation and data analysis. Started in 2012 at MIT by Jeff Bezanson, Stefan Karpinski, Viral Shah, and Alan Edelman, Julia is designed with the philosophy of “write fast code, run fast”.
It is difficult to make a clear definition of data quality. The truth is that your data quality is good if the data achieves its purpose of using it. For example, showing the right values on a management board to guide the organization ensures that management is also consistent and the process is managed correctly.
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