She uses the Radio-frequency identification(RFID) which is a technology that uses electromagnetic fields to automatically identify and track tags attached to objects.These tags contain electronically-stored information.the passive tags collect energy from a nearby RFID readers interrogating radio waves.They contain an integrated circuit and an antenna which are used to transmit data to the RFID reader also called an interrogator.
Answer:
Training data is used to fine-tune the algorithm’s parameters and evaluate how good the model is
Explanation:
The statement about datasets used in Machine Learning that is NOT true is "Training data is used to fine-tune algorithm’s parameters and evaluate how good the model is."
This is based on the fact that a Training dataset is a process in which a dataset model is trained for corresponding it essentially to fit the parameters.
Also, Testing the dataset is a process of examining the performance of the dataset. This refers to hidden data for which predictions are determined.
And Validation of dataset is a process in which results are verified to perfect the algorithm's details or parameters
Answer:
Explanation:
A cursor is a pointer which indicates the position of the mouse on a computer's display monitor.
An insertion point is a location in a document where additional information is inserted when the user begins to type.
A mouse pointer is an image used to activate/control certain elements in a GUI (graphical user interface).
I know you asked for the differences, though i thought I'd add a similarity. All of these 3 things are similar, as they show where the position of the info/mouse is. :)
Hope this helps!
-Biscuit08
Answer:
When working with cloud computing, drive failures and need for usage and data is easily identifiable, so in short term, all of the things that show the user/s what needs to be done is the characteristic.
Explanation:
