The phrase "derive knowledge from" is correct and usable in written English.
You can use it when you want to describe the process of learning by observing or examining data or existing information. For example: "In my research, I have been able to derive knowledge from the survey results."
First, derive knowledge from different sources of information (experimental data, expert learning, machine learning).
At this point, various mining techniques are applied to derive knowledge from preprocessed data (see Table 1).
As data volumes and complexity grow, it is increasingly arduous to extract valuable information from the data and derive knowledge from that data.
Therefore, the authors derive knowledge from examples, which they saw in Budapest during the CEEPUS scholarship, when they had the opportunity to meet the designers of some of those objects.
Large-scale data mining studies are increasingly reported that attempt to derive knowledge from discovery-relevant data concerning, for example, preferred drug properties, polypharmacology, or attractive drug targets.
This mimics the situation when the experimental biologist try to derive knowledge from a set of disparate experiments performed in different laboratories, using different experimental designs and microarray technologies.
But deriving knowledge from other categories of patient-reported data — beyond dosages and effects — is equally promising and represents the real frontier in medicine.
Ide and Véronis (1994) provide a survey of early work on deriving knowledge from dictionary definitions, and the difficulties faced by that enterprise.
Neural network systems are highly capable of deriving knowledge from complex data, and they are used to extract patterns and trends which are otherwise hidden in many applications.
Deriving knowledge from the data from these parameters in order to develop a functional relationship between them is a challenging task requiring advanced modelling techniques as well as human intuition and experience.
His fundamental objection to current academic learning is that since it is based on a secular Aristotelian rationalism that derives knowledge from the senses, and hence by way of the senses from the unstable and deceptive world of matter, it can never lead to real truth, that is, to true magical power over the self and the world, or to knowledge of God.
