id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
morgan-bringing-2020		morgan-bringing-2020			.docx	application/vnd.openxmlformats-officedocument.wordprocessingml.document	5269	375	59	Now, in a time of "big data," it is possible to go beyond mere automation and towards the more intelligent use of computers; the use of algorithms and machine learning is an integral part of future library collection building and service provision. Finally, this chapter outlines both a number of possible machine learning applications for libraries as well as a few real world use cases. Like the scale of computer input, the library profession has not really exploited computers' ability to save, organize, and retrieve data; on the whole, the library profession does not understand the concept of a "data structure." For example, tab-delimited files, CSV (comma-separated value) files, relational database schema, XML files, JSON files, and the content of email messages or HTTP server responses are all examples of different types of data structures.	./cache/morgan-bringing-2020.docx	./txt/morgan-bringing-2020.txt