are what you plan to achieve by the end of your project.
Explanation:
This might include deliverables and assets, or more intangible objectives like increasing productivity or motivation. Your project objectives should be attainable, time-bound, specific goals you can measure at the end of your project.
statement that describes the “what” of your project. The tangible and measurable “what”. The “what” that's achievable, realistic, and can be completed within the time allowed. These statements ladder up to the goals of the project, providing stepping stones to project success.
<h3>:) CARRYINGTOLEARN</h3>
Yes! It could be. It just needs to come from a name.
Like what Nipureza said, Michael - Mike or Austin - Aussie. or something like that :0
have a great dayy :3
Answer:
A. With content-based filtering, users
receive recommendations for items
liked by similar users.
Explanation:
A database management system (DBMS) can be defined as a collection of software applications that typically enables computer users to create, store, modify, retrieve and manage data or informations in a database. Generally, it allows computer users to efficiently retrieve and manage their data with an appropriate level of security.
A data dictionary can be defined as a centralized collection of information on a specific data such as attributes, names, fields and definitions that are being used in a computer database system.
In a data dictionary, data elements are combined into records, which are meaningful combinations of data elements that are included in data flows or retained in data stores.
This ultimately implies that, a data dictionary found in a computer database system typically contains the records about all the data elements (objects) such as data relationships with other elements, ownership, type, size, primary keys etc. This records are stored and communicated to other data when required or needed.
Content-based filtering uses an algorithm to recommend to users what they like.
The statement about content-based filtering which is false is that, with content-based filtering, users
receive recommendations for items
liked by similar users.
Answer:
increased productivity
Explanation:
sorry if i am not correct
